Dr. ir. Theo van Walsum

Theo van Walsum

Office: Na 26-06

Phone: +31-10-7043051

Email: t.vanwalsum at erasmusmc.nl

Website: Google Scholar, LinkedIn


Curriculum Vitae

Theo van Walsum graduated in Informatics (Computer Science) at the Delft University of Technology in 1990. In 1995 he received his PhD at Scientific Visualization Group of Delft University of Technology. Subject of his thesis was flow visualization on curvilinear grids. From June 1995 to May 1996, he was a research fellow at the Laboratory of Clinical and Experimental Image Processing (LKEB), at the University Hospital Leiden, where he worked on visualization of MRI and MRA data. From June 1996 to January 2005, he worked as a Postdoc at the Image Sciences Institute at the UMC Utrecht, on simulation and visualization for endovascular treatment of AAA, the image processing software environment, catheter tracking for image guidance and image guidance using 3D Rotational X-Ray imaging.

Since 2005, he is heading the “Image Guidance in Interventions” theme group at the Biomedical Imaging Group Rotterdam. This group focusses on improving image guidance by integrating pre-operative image information in the interventional situation for cardiovascular and soft tissue applications. Challenges addressed are the modeling and tracking of motion and deformation of the anatomy, and the instruments. Such trackerless navigation approaches have been implemented for ultrasound and x-ray guided procedures such as TIPS, TACE and ablation of liver lesions. Additionally, he is involved in the cardiovascular image processing theme group, focussing quantitative imaging biomarkers for the heart and coronaries (mainly CT-based) and for stroke (CTA, DSA).

He co-organized three cardiovascular “Grand Challenges” that were organized by the BIGR, the coronary artery tracking challenge (coronary.bigr.nl), the carotid lumen segmentation and stenosis grading challenge (cls2009.bigr.nl), and the coronary stenoses detection and quantification challenge (coronary.bigr.nl/stenosis). He also initiated the MICCAI SWITCH workshop series that aims to bring together clinical and medical imaging experts working in the field of stroke and stroke treatment.

His interests are medical imaging, image guidance and navigation, visualization and software engineering.

Research lines

Image guidance in Interventions and Therapy

Cardiovascular Image Analysis

Publications

Journal Articles

  1. Bos, D., Vernooij, M. W., Shahzad, R., Kavousi, M., Hofman, A., van Walsum, T., … Leening, M. J. G. (2017). Epicardial Fat Volume and the Risk of Atrial Fibrillation in the General Population Free of Cardiovascular Disease. JACC: Cardiovascular Imaging. https://doi.org/10.1016/j.jcmg.2016.12.005
  2. Giordano, M., Poot, D. H. J., Coenen, A., van Walsum, T., Tezza, M., Nieman, K., & Niessen, W. J. (2017). Classification of hemodynamically significant stenoses from dynamic CT perfusion and CTA myocardial territories. Med. Phys., 44(4), 1347–1358. https://doi.org/10.1002/mp.12126
  3. Shahzad, R., Bos, D., Budde, R. P. J., Pellikaan, K., Niessen, W. J., Lugt, A. van der, & Walsum, T. van. (2017). Automatic segmentation and quantification of the cardiac structures from non-contrast-enhanced cardiac CT scans. Phys. Med. Biol., 62(9), 3798. https://doi.org/10.1088/1361-6560/aa63cb
  4. Ma, H., Hoogendoorn, A., Regar, E., Niessen, W. J., & van Walsum, T. (2017). Automatic online layer separation for vessel enhancement in X-ray angiograms for percutaneous coronary interventions. Medical Image Analysis, 39, 145–161. https://doi.org/10.1016/j.media.2017.04.011
  5. Baka, N., Leenstra, S., & van Walsum, T. (2017). Random Forest-Based Bone Segmentation in Ultrasound. Ultrasound in Medicine & Biology, 43(10), 2426–2437. https://doi.org/10.1016/j.ultrasmedbio.2017.04.022
  6. Zahnd, G., Hoogendoorn, A., Combaret, N., Karanasos, A., Péry, E., Sarry, L., … Walsum, T. van. (2017). Contour segmentation of the intima, media, and adventitia layers in intracoronary OCT images: application to fully automatic detection of healthy wall regions. Int J CARS, 1–14. https://doi.org/10.1007/s11548-017-1657-7
  7. Peter, R., Emmer, B. J., van Es, A. C. G. M., & van Walsum, T. (2017). Quantitative Analysis of Geometry and Lateral Symmetry of Proximal Middle Cerebral Artery. Journal of Stroke and Cerebrovascular Diseases. https://doi.org/10.1016/j.jstrokecerebrovasdis.2017.05.039
  8. Baka, N., Leenstra, S., & Walsum, T. van. (2017). Ultrasound Aided Vertebral Level Localization for Lumbar Surgery. IEEE Transactions on Medical Imaging, 36(10), 2138–2147. https://doi.org/10.1109/TMI.2017.2738612
  9. Arif, M., Moelker, A., & Walsum, T. van. (2017). Needle Tip Visibility in 3D Ultrasound Images. Cardiovasc Intervent Radiol, 1–8. https://doi.org/10.1007/s00270-017-1798-7
  10. Ambrosini, P., Smal, I., Ruijters, D., Niessen, W. J., Moelker, A., & Walsum, T. V. (2017). A Hidden Markov Model for 3D Catheter Tip Tracking With 2D X-ray Catheterization Sequence and 3D Rotational Angiography. IEEE Transactions on Medical Imaging, 36(3), 757–768. https://doi.org/10.1109/TMI.2016.2625811
  11. Banerjee, J., Klink, C., Niessen, W., Moelker, A., & van Walsum, T. (2016). 4D Ultrasound Tracking of Liver and its Verification for TIPS guidance. IEEE Transactions on Medical Imaging, 35(1), 52–62. https://doi.org/10.1109/TMI.2015.2454056
  12. Wolterink, J. M., Leiner, T., Vos, B. D. de, Coatrieux, J.-L., Kelm, B. M., Kondo, S., … Išgum, I. (2016). An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework. Medical Physics, 43(5), 2361–2373. https://doi.org/10.1118/1.4945696
  13. Zahnd, G., Schrauwen, J., Karanasos, A., Regar, E., Niessen, W., Walsum, T. van, & Gijsen, F. (2016). Fusion of fibrous cap thickness and wall shear stress to assess plaque vulnerability in coronary arteries: a pilot study. Int J CARS, 1–12. https://doi.org/10.1007/s11548-016-1422-3
  14. Luu, H. M., Klink, C., Niessen, W., Moelker, A., & Walsum, T. van. (2016). Non-Rigid Registration of Liver CT Images for CT-Guided Ablation of Liver Tumors. PLOS ONE, 11(9), e0161600. https://doi.org/10.1371/journal.pone.0161600
  15. Korsager, A. S., Fortunati, V., Lijn, F. van der, Carl, J., Niessen, W., Østergaard, L. R., & Walsum, T. van. (2015). The use of atlas registration and graph cuts for prostate segmentation in magnetic resonance images. Medical Physics, 42(4), 1614–1624. https://doi.org/10.1118/1.4914379
  16. Fortunati, V., Verhaart, R. F., Niessen, W. J., Veenland, J. F., Paulides, M. M., & van Walsum, T. (2015). Automatic tissue segmentation of head and neck MR images for hyperthermia treatment planning. Physics in Medicine and Biology, 60(16), 6547–6562. https://doi.org/10.1088/0031-9155/60/16/6547
  17. Banerjee, J., Klink, C., Peters, E. D., Niessen, W. J., Moelker, A., & van Walsum, T. (2015). Fast and robust 3D ultrasound registration – Block and game theoretic matching. Medical Image Analysis, 20(1), 173–183. https://doi.org/10.1016/j.media.2014.11.004
  18. Bos, D., Shahzad, R., Walsum, T. van, Vliet, L. J. van, Franco, O. H., Hofman, A., … Lugt, A. van der. (2015). Epicardial fat volume is related to atherosclerotic calcification in multiple vessel beds. European Heart Journal - Cardiovascular Imaging, jev086. https://doi.org/10.1093/ehjci/jev086
  19. Ma, H., Dibildox, G., Schultz, C., Regar, E., & Walsum, T. van. (2015). PCA-derived respiratory motion surrogates from X-ray angiograms for percutaneous coronary interventions. Int J CARS, 10(6), 695–705. https://doi.org/10.1007/s11548-015-1185-2
  20. Baka, N., Lelieveldt, B. P. F., Schultz, C., Niessen, W., & Walsum, T. van. (2015). Respiratory motion estimation in x-ray angiography for improved guidance during coronary interventions. Phys. Med. Biol., 60(9), 3617–37. https://doi.org/10.1088/0031-9155/60/9/3617
  21. Luu, H. M., Klink, C., Moelker, A., Niessen, W., & Walsum, T. van. (2015). Quantitative evaluation of noise reduction and vesselness filters for liver vessel segmentation on abdominal CTA images. Phys. Med. Biol., 60(10), 3905. https://doi.org/10.1088/0031-9155/60/10/3905
  22. Fortunati, V., Verhaart, R. F., Verduijn, G. M., van der Lugt, A., Angeloni, F., Niessen, W. J., … van Walsum, T. (2015). MRI integration into treatment planning of head and neck tumors: Can patient immobilization be avoided? Radiotherapy and Oncology, 115(2), 191–194. https://doi.org/10.1016/j.radonc.2015.03.021
  23. Haak, A., Vegas-Sanchez-Ferrero, G., Mulder, H. W., Ren, B., Kirişli, H. A., Metz, C., … Bosch, J. G. (2015). Segmentation of multiple heart cavities in 3-D transesophageal ultrasound images. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 62(6), 1179–1189. https://doi.org/10.1109/TUFFC.2013.006228
  24. Haak, A., Ren, B., Mulder, H. W., Vegas-Sánchez-Ferrero, G., van Burken, G., van der Steen, A. F. W., … Bosch, J. G. (2015). Improved Segmentation of Multiple Cavities of the Heart in Wide-View 3-D Transesophageal Echocardiograms. Ultrasound in Medicine & Biology, 41(7), 1991–2000. https://doi.org/10.1016/j.ultrasmedbio.2015.03.011
  25. Zahnd, G., Karanasos, A., Soest, G. van, Regar, E., Niessen, W., Gijsen, F., & Walsum, T. van. (2015). Quantification of fibrous cap thickness in intracoronary optical coherence tomography with a contour segmentation method based on dynamic programming. Int J CARS, 1–12. https://doi.org/10.1007/s11548-015-1164-7
  26. Verhaart, R. F., Verduijn, G. M., Fortunati, V., Rijnen, Z., van Walsum, T., Veenland, J. F., & Paulides, M. M. (2015). Accurate 3D temperature dosimetry during hyperthermia therapy by combining invasive measurements and patient-specific simulations. International Journal of Hyperthermia, 1–7. https://doi.org/10.3109/02656736.2015.1052855
  27. Luu, H. M., Klink, C., Niessen, W., Moelker, A., & van Walsum, T. (2015). An automatic registration method for pre- and post-interventional CT images for assessing treatment success in liver RFA treatment. Medical Physics, 42(9), 5559–5567. https://doi.org/10.1118/1.4927790
  28. Ambrosini, P., Ruijters, D., Niessen, W. J., Moelker, A., & Walsum, T. van. (2015). Continuous roadmapping in liver TACE procedures using 2D–3D catheter-based registration. Int J CARS, 10(9), 1357–1370. https://doi.org/10.1007/s11548-015-1218-x
  29. Verhaart, R. F., Fortunati, V., Verduijn, G. M., van Walsum, T., Veenland, J. F., & Paulides, M. M. (2014). CT-based patient modeling for head and neck hyperthermia treatment planning: Manual versus automatic normal-tissue-segmentation. Radiotherapy and Oncology, 111(1), 158–163. https://doi.org/10.1016/j.radonc.2014.01.027
  30. Kirişli, H. A., Gupta, V., Shahzad, R., Younis, I. A., Dharampal, A., Geuns, R.-J. van, … Niessen, W. J. (2014). Additional Diagnostic Value of Integrated Analysis of Cardiac CTA and SPECT MPI Using the SMARTVis System in Patients with Suspected Coronary Artery Disease. J Nucl Med, 55(1), 50–57. https://doi.org/10.2967/jnumed.113.119842
  31. Baka, N., Metz, C. T., Schultz, C. J., van Geuns, R.-J., Niessen, W. J., & van Walsum, T. (2014). Oriented Gaussian Mixture Models for Nonrigid 2D/3D Coronary Artery Registration. IEEE Transactions on Medical Imaging, 33(5), 1023–1034. https://doi.org/10.1109/TMI.2014.2300117
  32. Dibildox, G., Baka, N., Punt, M., Aben, J.-P., Schultz, C., Niessen, W., & Walsum, T. van. (2014). 3D/3D registration of coronary CTA and biplane XA reconstructions for improved image guidance. Medical Physics, 41(9), 091909. https://doi.org/10.1118/1.4892055
  33. Verhaart, R. F., Fortunati, V., Verduijn, G. M., Lugt, A. van der, Walsum, T. van, Veenland, J. F., & Paulides, M. M. (2014). The relevance of MRI for patient modeling in head and neck hyperthermia treatment planning: A comparison of CT and CT-MRI based tissue segmentation on simulated temperature. Medical Physics, 41(12), 123302. https://doi.org/10.1118/1.4901270
  34. Fortunati, V., Verhaart, R. F., Angeloni, F., van der Lugt, A., Niessen, W. J., Veenland, J. F., … van Walsum, T. (2014). Feasibility of Multimodal Deformable Registration for Head and Neck Tumor Treatment Planning. International Journal of Radiation Oncology*Biology*Physics, 90(1), 85–93. https://doi.org/10.1016/j.ijrobp.2014.05.027
  35. Verhaart, R. F., Rijnen, Z., Fortunati, V., Verduijn, G. M., Walsum, T. van, Veenland, J. F., & Paulides, M. M. (2014). Temperature simulations in hyperthermia treatment planning of the head and neck region. Strahlenther Onkol, 190(12), 1117–1124. https://doi.org/10.1007/s00066-014-0709-y
  36. Tang, H., Selwaness, M., Hameeteman, R., Dijk, A. van, Lugt, A. van der, Witteman, J. C., … Walsum, T. van. (2014). Semi-automatic MRI segmentation and volume quantification of intra-plaque hemorrhage. Int J CARS, 10(1), 67–74. https://doi.org/10.1007/s11548-014-1010-3
  37. Tang, H., Walsum, T. van, Hameeteman, R., Shahzad, R., Vliet, L. J. van, & Niessen, W. J. (2013). Lumen segmentation and stenosis quantification of atherosclerotic carotid arteries in CTA utilizing a centerline intensity prior. Medical Physics, 40(5), 051721. https://doi.org/10.1118/1.4802751
  38. Kirişli, H. A., Schaap, M., Metz, C. T., Dharampal, A. S., Meijboom, W. B., Papadopoulou, S. L., … van Walsum, T. (2013). Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Medical Image Analysis, 17(8), 859–876. https://doi.org/10.1016/j.media.2013.05.007
  39. Shahzad, R., Kirişli, H., Metz, C., Tang, H., Schaap, M., Vliet, L. van, … Walsum, T. van. (2013). Automatic segmentation, detection and quantification of coronary artery stenoses on CTA. Int J Cardiovasc Imaging, 29(5), 1–13. https://doi.org/10.1007/s10554-013-0271-1
  40. Fortunati, V., Verhaart, R. F., Lijn, F. van der, Niessen, W. J., Veenland, J. F., Paulides, M. M., & Walsum, T. van. (2013). Tissue segmentation of head and neck CT images for treatment planning: A multiatlas approach combined with intensity modeling. Medical Physics, 40(7), 071905. https://doi.org/10.1118/1.4810971
  41. Shahzad, R., van Walsum, T., Schaap, M., Rossi, A., Klein, S., Weustink, A. C., … Niessen, W. J. (2013). Vessel Specific Coronary Artery Calcium Scoring: An Automatic System. Academic Radiology, 20(1), 1–9. https://doi.org/10.1016/j.acra.2012.07.018
  42. Shahzad, R., Bos, D., Metz, C., Rossi, A., Kirişli, H., Lugt, A. van der, … Walsum, T. van. (2013). Automatic quantification of epicardial fat volume on non-enhanced cardiac CT scans using a multi-atlas segmentation approach. Medical Physics, 40(9), 091910. https://doi.org/10.1118/1.4817577
  43. Baka, N., Metz, C. T., Schultz, C., Neefjes, L., van Geuns, R. J., Lelieveldt, B. P. F., … de Bruijne, M. (2013). Statistical coronary motion models for 2D + t/3D registration of X-ray coronary angiography and CTA. Medical Image Analysis, 17(6), 698–709. https://doi.org/10.1016/j.media.2013.03.003
  44. Hameeteman, K., Rozie, S., Metz, C. T., Manniesing, R., van Walsum, T., van der Lugt, A., … Klein, S. (2013). Automatic carotid artery distensibility measurements from CTA using nonrigid registration. Medical Image Analysis, 17(5), 515–524. https://doi.org/10.1016/j.media.2013.02.007
  45. Metz, C. T., Schaap, M., Klein, S., Baka, N., Neefjes, L. A., Schultz, J., … van Walsum, T. (2013). Registration of Coronary CTA and Monoplane X-Ray Angiography. IEEE Transactions on Medical Imaging, 32(5), 919–931. https://doi.org/10.1109/TMI.2013.2245421
  46. Metz, C. T., Baka, N., Kirisli, H., Schaap, M., Klein, S., Neefjes, L. A., … van Walsum, T. (2012). Regression-Based Cardiac Motion Prediction From Single-Phase CTA. Medical Imaging, IEEE Transactions On, 31(6), 1311–1325. https://doi.org/10.1109/TMI.2012.2190938
  47. Tang, H., van Walsum, T., van Onkelen, R. S., Hameeteman, R., Klein, S., Schaap, M., … Niessen, W. J. (2012). Semiautomatic carotid lumen segmentation for quantification of lumen geometry in multispectral MRI. Medical Image Analysis, 16(6), 1202–1215. https://doi.org/10.1016/j.media.2012.05.014
  48. Baka, N., de Bruijne, M., van Walsum, T., Kaptein, B. L., Giphart, J. E., Schaap, M., … Lelieveldt, B. P. F. (2012). Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy. IEEE Transactions on Medical Imaging, 31(8), 1573–1583. https://doi.org/10.1109/TMI.2012.2195783
  49. Vukadinovic, D., Rozie, S., Gils, M. van, Walsum, T. van, Manniesing, R., Lugt, A. van der, & Niessen, W. J. (2012). Automated versus manual segmentation of atherosclerotic carotid plaque volume and components in CTA: associations with cardiovascular risk factors. Int J Cardiovasc Imaging, 28(4), 877–887. https://doi.org/10.1007/s10554-011-9890-6
  50. Schaap, M., van Walsum, T., Neefjes, L., Metz, C., Capuano, E., de Bruijne, M., & Niessen, W. (2011). Robust Shape Regression for Supervised Vessel Segmentation and its application to Coronary Segmentation in CTA. IEEE Trans Med Imaging. https://doi.org/10.1109/TMI.2011.2160556
  51. Baka, N., Kaptein, B. L., de Bruijne, M., van Walsum, T., Giphart, J. E., Niessen, W. J., & Lelieveldt, B. P. F. (2011). 2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models. Med Image Anal. https://doi.org/10.1016/j.media.2011.04.001
  52. Hameeteman, K., Zuluaga, M. A., Freiman, M., Joskowicz, L., Cuisenaire, O., Valencia, L. F., … van Walsum, T. (2011). Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading. Medical Image Analysis, 15(4), 477–488. https://doi.org/16/j.media.2011.02.004
  53. Metz, C. T., Klein, S., Schaap, M., van Walsum, T., & Niessen, W. J. (2011). Nonrigid registration of dynamic medical imaging data using nD + t B-splines and a groupwise optimization approach. Medical Image Analysis, 15(2), 238–249. https://doi.org/16/j.media.2010.10.003
  54. Kirişli, H. A., Gupta, V., Kirschbaum, S. W., Rossi, A., Metz, C. T., Schaap, M., … Niessen, W. J. (2011). Comprehensive visualization of multimodal cardiac imaging data for assessment of coronary artery disease: first clinical results of the SMARTVis tool. International Journal of Computer Assisted Radiology and Surgery, 7(4), 557–571. https://doi.org/10.1007/s11548-011-0657-2
  55. Vukadinovic, D., van Walsum, T., Manniesing, R., Rozie, S., Hameeteman, R., de Weert, T. T., … Niessen, W. J. (2010). Segmentation of the Outer Vessel Wall of the Common Carotid Artery in CTA. IEEE Trans. Med. Imaging, 29(1), 65–76. https://doi.org/10.1109/TMI.2009.2025702
  56. van der Giessen, A. G., Gijsen, F. J. H., Wentzel, J. J., Jairam, P. M., van Walsum, T., Neefjes, L. A. E., … van der Steen, A. F. W. (2010). Small coronary calcifications are not detectable by 64-slice contrast enhanced computed tomography. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-010-9662-8
  57. Kirişli, H. A., Schaap, M., Klein, S., Papadopoulou, S. L., Bonardi, M., Chen, C. H., … Niessen, W. J. (2010). Evaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study. Med Phys, 37(12), 6279–6291. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/21302784
  58. van der Giessen, A. G., Toepker, M. H., Donelly, P. M., Bamberg, F., Schlett, C. L., Raffle, C., … Hoffmann, U. (2010). Reproducibility, accuracy, and predictors of accuracy for the detection of coronary atherosclerotic plaque composition by computed tomography: an ex vivo comparison to intravascular ultrasound. Invest Radiol, 45(11), 693–701. https://doi.org/10.1097/RLI.0b013e3181e0a541
  59. Groen, H. C., van Walsum, T., Rozie, S., Klein, S., van Gaalen, K., Gijsen, F. J. H., … Niessen, W. J. (2010). Three-dimensional registration of histology of human atherosclerotic carotid plaques to in-vivo imaging. Journal of Biomechanics, 43(11), 2087–2092. https://doi.org/10.1016/j.jbiomech.2010.04.005
  60. Schaap, M., Metz, C. T., van Walsum, T., van der Giessen, A. G., Weustink, A. C., Mollet, N. R., … Niessen, W. J. (2009). Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. Medical Image Analysis, 13(5), 701–714. https://doi.org/10.1016/j.media.2009.06.003
  61. Metz, C. T., Schaap, M., Weustink, A. C., Mollet, N. R., van Walsum, T., & Niessen, W. J. (2009). Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach. Med. Phys., 36(12), 5568–5579. https://doi.org/10.1118/1.3254077
  62. Matlung, H. L., Groen, H. C., de Vos, J., van Walsum, T., van der Lugt, A., Niessen, W. J., … Bakker, E. N. T. P. (2009). Calcification Locates to Transglutaminases in Advanced Human Atherosclerotic Lesions. Am J Pathol, 175(4), 1374–1379. https://doi.org/10.2353/ajpath.2009.090012
  63. van der Giessen, A. G., Schaap, M., Gijsen, F. J. H., Groen, H. C., van Walsum, T., Mollet, N. R., … Wentzel, J. J. (2009). 3D fusion of intravascular ultrasound and coronary computed tomography for in-vivo wall shear stress analysis: a feasibility study. Int J Cardiovasc Imaging. https://doi.org/10.1007/s10554-009-9546-y
  64. Willems, P. W. A., van Walsum, T., Woerdeman, P. A., van de Kraats, E. B., de Kort, G. A. P., Niessen, W. J., & van der Sprenkel, J. W. B. (2007). Image-guided vascular neurosurgery based on three-dimensional rotational angiography. Technical note. J. Neurosurg, 106(3), 501–506. https://doi.org/10.3171/jns.2007.106.3.501
  65. van de Kraats, E. B., van Walsum, T., Verlaan, J. J., Voormolen, M. H. J., Mali, W. P. T. M., & Niessen, W. J. (2006). Three-dimensional rotational X-ray navigation for needle guidance in percutaneous vertebroplasty: an accuracy study. Spine, 31(12), 1359.
  66. van Walsum, T., van de Kraats, E. B., Voormolen, M. H. J., Verlaan, J. J., Mali, W. P. T. M., & Niessen, W. J. (2006). Navigation with three-dimensional rotational radiographic data for transpedicular percutaneous needle introduction: Feasibility and comparison with fluoroscopic guidance. Journal of Vascular and Interventional Radiology, 17(9), 1511–1518.
  67. van de Kraats, E. B., Walsum, T. van, Kendrick, L., Noordhoek, N. J., & Niessen, W. J. (2006). Accuracy evaluation of direct navigation with an isocentric 3D rotational X-ray system. Medical Image Analysis, 10(2), 113–124. https://doi.org/10.1016/j.media.2005.04.012
  68. Verlaan, J. J., van de Kraats, E. B., Oner, F. C., van Walsum, T., Niessen, W. J., & Dhert, W. J. A. (2005). Bone displacement and the role of longitudinal ligaments during balloon vertebroplasty in traumatic thoracolumbar fractures. Spine, 30(16), 1832.
  69. Verlaan, J. J., van de Kraats, E. B., Oner, F. C., van Walsum, T., Niessen, W. J., & Dhert, W. J. A. (2005). The reduction of endplate fractures during balloon vertebroplasty: a detailed radiological analysis of the treatment of burst fractures using pedicle screws, balloon vertebroplasty, and calcium phosphate cement. Spine, 30(16), 1840.
  70. Verlaan, J. J., van de Kraats, E. B., van Walsum, T., Dhert, W. J. A., Oner, F. C., & Niessen, W. J. (2005). Three-dimensional rotational X-ray imaging for spine surgery: a quantitative validation study comparing reconstructed images with corresponding anatomical sections. Spine, 30(5), 556.
  71. van Walsum, T., Baert, S. A. M., & Niessen, W. J. (2005). Guide wire reconstruction and visualization in 3DRA using monoplane fluoroscopic imaging. IEEE Trans. Med. Imaging, 24(5), 612–623. https://doi.org/10.1109/TMI.2005.844073
  72. van de Kraats, E. B., Carelsen, B., Fokkens, W. J., Boon, S. N., Noordhoek, N., Niessen, W. J., & van Walsum, T. (2005). Direct navigation on 3D rotational x-ray data acquired with a mobile propeller C-arm: accuracy and application in functional endoscopic sinus surgery. Phys. Med. Biol., 50(24), 5769–5781. https://doi.org/10.1088/0031-9155/50/24/001
  73. van de Kraats, E. B., Penney, G. P., Tomazevic, D., van Walsum, T., & Niessen, W. J. (2005). Standardized evaluation methodology for 2-D-3-D registration. IEEE Trans Med Imaging, 24(9), 1177–1189. https://doi.org/10.1109/TMI.2005.853240
  74. van de Kraats, E. B., van Walsum, T., Verlaan, J. J., }Öner, F. C., Viergever, M. A., & Niessen, W. J. (2004). Noninvasive magnetic resonance to three-dimensional rotational X-ray registration of vertebral bodies for image-guided spine surgery. Spine, 29(3), 293.
  75. Baert, S. A. M., van de Kraats, E. B., van Walsum, T., Viergever, M. A., & Niessen, W. J. (2003). Three-dimensional guide-wire reconstruction from biplane image sequences for integrated display in 3-d vasculature. IEEE Trans. Med. Imaging, 22(10), 1252–1258. https://doi.org/10.1109/TMI.2003.817791
  76. Baert, S. A. M., van Walsum, T., & Niessen, W. J. (2003). Endpoint localization in guide wire tracking during endovascular interventions. Acad Radiol, 10(12), 1424–1432. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/14697010
  77. Schep, N. W. L., van Walsum, T., de Graaf, J. S., Broeders, I. A. M. J., & van der Werken, C. (2002). Validation of fluoroscopy-based navigation in the hip region: What you see is what you get? Comput. Aided Surg., 7(5), 279–283. https://doi.org/10.1002/igs.10051
  78. Westenberg, J. J. M., van der Geest, R. J., Wasser, M. N. J. M., van der Linden, E. L., van Walsum, T., van Assen, H. C., … Reiber, J. H. C. (2000). Vessel diameter measurements in gadolinium contrast-enhanced three-dimensional MRA of peripheral arteries. Magnetic Resonance Imaging, 18(1), 13–22. https://doi.org/10.1016/S0730-725X(99)00099-5
  79. Frangi, A. F., Niessen, W. J., Hoogeveen, R. M., van Walsum, T., & Viergever, M. A. (1999). Model-based quantitation of 3-D magnetic resonance angiographic images. IEEE Transactions on Medical Imaging, 18(10), 946–956.
  80. Post, F. H., de Leeuw, W. C., Ari Sadarjoen, I., Reinders, F., & van Walsum, T. (1999). Global, geometric, and feature-based techniques for vector field visualization. Future Generation Computer Systems, 15(1), 87–98. https://doi.org/16/S0167-739X(98)00050-8
  81. Ter Haar Romeny, B. M., Zuiderveld, K. J., Van Waes, P. F. G. M., Van Walsum, T., Van Der Weijden, R., Weickert, J., … Viergever, M. A. (1998). Advances in three-dimensional diagnostic radiology. Journal of Anatomy, 193(3), 363–371. https://doi.org/10.1046/j.1469-7580.1998.19330363.x
  82. van Walsum, T., Post, F. H., Silver, D., & Post, F. J. (1996). Feature Extraction and Iconic Visualization. IEEE Transactions on Visualization and Computer Graphics, 2(2), 111–119. https://doi.org/http://doi.ieeecomputersociety.org/10.1109/2945.506223
  83. van Walsum, T., & Post, F. H. (1994). Selective Visualization of Vector Fields. Computer Graphics Forum, 13(3), 339–347. https://doi.org/10.1111/1467-8659.1330339

Conference Articles

  1. Arif, M., Moelker, A., & van Walsum, T. (2017). Needle tip visibility in 3D ultrasound images (Vol. 10135, pp. 1013526–1013526–6). https://doi.org/10.1117/12.2254060
  2. Peter, R., Emmer, B. J., Es, A. C. G. M. van, & Walsum, T. van. (2017). Cortical and vascular probability maps for analysis of human brain in computed tomography images. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (pp. 1141–1145). https://doi.org/10.1109/ISBI.2017.7950718
  3. Ma, H., Ambrosini, P., & Walsum, T. van. (2017). Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017 (pp. 453–461). Springer, Cham. https://doi.org/10.1007/978-3-319-66179-7_52
  4. Ambrosini, P., Ruijters, D., Niessen, W. J., Moelker, A., & Walsum, T. van. (2017). Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017 (pp. 577–585). Springer, Cham. https://doi.org/10.1007/978-3-319-66185-8_65
  5. Baka, N., Leenstra, S., & van Walsum, T. (2016). Machine learning based bone segmentation in Ultrasound. Athens: Springer.
  6. Gunay, G., Ha, L. M., van Walsum, T., & Klein, S. (2016). Semi-automated registration of pre- and intra-operative liver CT for image-guided interventions (Vol. 9784, pp. 97841N–97841N–8). https://doi.org/10.1117/12.2217206
  7. Banerjee, J., Klink, S. J. C., Vast, E., Niessen, W. J., Moelker, A., & van Walsum, T. (2015). A combined tracking and registration approach for tracking anatomical landmarks in 4D ultrasound of the liver. In Proceedings of the MICCAI workshop CLUST 2015 (pp. 43–50). Munich, Germany.
  8. Shahzad, R., van Vliet, L. J., Niessen, W. J., & Van Walsum, T. (2014). Automatic Classification of Calcification in the Coronary Vessel Tree. Boston, Massachusetts, USA.
  9. Haak, A., Mulder, H. W., Ren, B., Vegas-Sanchez-Ferrero, G., van Burken, G., van der Steen, A. F. W., … Bosch, J. G. (2014). Segmentation of multiple heart cavities in wide-view fused 3D transesophageal echocardiograms. In Ultrasonics Symposium (IUS), 2014 IEEE International (pp. 691–694). https://doi.org/10.1109/ULTSYM.2014.0170
  10. Banerjee, J., Klink, C., Peters, E. D., Niessen, W. J., Moelker, A., & Walsum, T. van. (2014). 4D Liver Ultrasound Registration. In 6th International Workshop on Biomedical Image Registration, WBIR’14 (pp. 194–202).
  11. Zahnd, G., Karanasos, A. K., Soest, G. van, Regar, E., Niessen, W. J., Gijsen, F., & Walsum, T. van. (2014). Fully automated detection of healthy wall sections in intracoronary optical coherence tomography. In MICCAI CVII-STENT Workshop.
  12. Ambrosini, P., Ruijters, D., Moelker, A., Niessen, W. J., & Walsum, T. van. (2014). 2D/3D Catheter-based Registration for Improved Image Guidance in TACE of Liver Tumors. In D. S. D. L. C. I. S. P. A. P. Jannin (Ed.), The 5th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI 2014) (pp. 246–255).
  13. Zahnd, G., Karanasos, A., Soest, G. van, Regar, E., Niessen, W. J., Gijsen, F. J. H., & Walsum, T. van. (2014). Semi-automated quantification of fibrous cap thickness in intracoronary optical coherence tomography. In International Conference on Information Processing in Computer-Assisted Interventions (IPCAI).
  14. Haak, A., Vegas-Sanchez-Ferrero, G., Mulder, H. H., Kirisli, H. A., Baka, N., Metz, C., … Bosch, J. G. (2013). Simultaneous segmentation of multiple heart cavities in 3D transesophageal echocardiograms. In Ultrasonics Symposium (IUS), 2013 IEEE International (pp. 659–662). https://doi.org/10.1109/ULTSYM.2013.0170
  15. Dibildox, G., Punt, M., Aben, J. P., Schultz, C., Niessen, W. J., & Walsum, T. van. (2013). GMM Registration of Coronary CTA and Biplane XA Reconstructions. In MICCAI Stent Workshop 2013. MICCAI Stent Workshop 2013.
  16. Fortunati, V., Verhaart, R. F., van der Lijn, F., Niessen, W. J., Veenland, J. F., Paulides, M. M., & van Walsum, T. (2012). Hyperthermia critical tissues automatic segmentation of head and neck CT images using atlas registration and graph cuts. In 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1683–1686). https://doi.org/10.1109/ISBI.2012.6235902
  17. Shahzad, R., Schaap, M., Goncalves, F. B., Metz, C. T., Tang, H., van Walsum, T., … Niessen, W. J. (2012). Automatic detection of calcified lesions in the descending aorta using contrast enhanced CT scans. In 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 250–253). https://doi.org/10.1109/ISBI.2012.6235531
  18. Tang, H., van Walsum, T., Hameeteman, R., Schaap, M., van der Lugt, A., van Vliet, L. J., & Niessen, W. J. (2012). Lumen segmentation of atherosclerotic carotid arteries in CTA. In 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 274–277). https://doi.org/10.1109/ISBI.2012.6235537
  19. Baka, N., Metz, C. T., Schultz, C., Neefjes, L., Geuns, R. J. van, Lelieveldt, B. P. F., … Walsum, T. van. (2012). 3D+t/2D+t CTA-XA registration using population-based motion estimates. In MICCAI-Workshop on Computer Assisted Stenting Proceedings, MICCAI-STENT’12.
  20. Kirisli, H. A., Gupta, V., Kirschbaum, S., Neefjes, L., van Geuns, R. J., Mollet, N., … Niessen, W. J. (2011). A patient-specific visualization tool for comprehensive analysis of coronary CTA and perfusion MRI data (pp. 796410–796410–9). Lake Buena Vista, Florida, USA. https://doi.org/10.1117/12.873050
  21. Shahzad, R., Schaap, M., Walsum, T. van, Klein, S., Weustink, A. C., Vliet, L. J. van, & Niessen, W. J. (2010). A patient-specific coronary density estimate. In 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 9–12). https://doi.org/10.1109/ISBI.2010.5490426
  22. Metz, C. T., Schaap, M., Klein, S., Neefjes, L. A., Capuano, E., Schultz, C., … Niessen, W. J. (2009). Patient Specific 4D Coronary Models from ECG-gated CTA Data for Intra-operative Dynamic Alignment of CTA with X-ray Images. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 (pp. 369–376). London, UK: Springer-Verlag. Retrieved from http://portal.acm.org/citation.cfm?id=1691651.1691707
  23. Vukadinovic, D., van Walsum, T., Rozie, S., de Weert, T., Manniesing, R., van der Lugt, A., & Niessen, W. (2009). Carotid artery segmentation and plaque quantification in CTA. In Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro (pp. 835–838). Boston, Massachusetts, USA: IEEE Press. Retrieved from http://portal.acm.org/citation.cfm?id=1699872.1700087
  24. van Walsum, T., Schaap, M., Metz, C., van der Giessen, A., & Niessen, W. (2008). Averaging Centerlines: Mean Shift on Paths. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 (pp. 900–907). Retrieved from http://dx.doi.org/10.1007/978-3-540-85988-8_107
  25. Schaap, M., Manniesing, R., Smal, I., van Walsum, T., van der Lugt, A., & Niessen, W. (2007). Bayesian Tracking of Tubular Structures and Its Application to Carotid Arteries in CTA. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 (pp. 562–570). Retrieved from http://dx.doi.org/10.1007/978-3-540-75759-7_68
  26. Niessen, W. J., van de Kraats, E., Baert, S. A. M., & van Walsum, T. (2007). 3D X-ray Image Guidance in Internventional Radiology. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 1000–1003). Arlington, VA, USA. https://doi.org/10.1109/ISBI.2007.357023
  27. van de Kraats, E. B., Penney, G. P., van Walsum, T., & Niessen, W. J. (2005). Multispectral MR to X-ray registration of vertebral bodies by generating CT-like data. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005 (pp. 911–918).
  28. van de Kraats, E. B., Penney, G. P., Tomaževič, D., van Walsum, T., & Niessen, W. J. (2004). Standardized evaluation of 2D-3D registration. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004 (pp. 574–581).
  29. Baert, S. A. M., Penney, G. P., van Walsum, T., & Niessen, W. J. (2004). Precalibration versus 2D-3D registration for 3D guide wire display in endovascular interventions. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004 (pp. 577–584).
  30. van Walsum, T., van de Kraats, E. B., Carelsen, B., Boon, S. N., Noordhoek, N., & Niessen, W. J. (2004). Accuracy of Navigation on 3DRX Data Acquired with a Mobile Propeller C-Arm. In Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004 (pp. 455–461).
  31. van Walsum, T., Baert, S. A. M., & Niessen, W. J. (2003). Three-dimensional guide wire visualization from 3DRA using monoplane fluoroscopic imaging. In R. L. Galloway & Jr. (Eds.), Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display (Vol. 5029, pp. 166–175). San Diego, CA, USA: SPIE. Retrieved from http://link.aip.org/link/?PSI/5029/166/1
  32. van Walsum, T., Zuiderveld, K., Chin-A-Woeng, J., Eikelboom, B., & Viergever, M. (1997). CT-based simulation of fluoroscopy and DSA for endovascular surgery training. In CVRMed-MRCAS’97 (pp. 273–282).

Book Chapters

  1. Ma, H., Dibildox, G., Banerjee, J., Niessen, W., Schultz, C., Regar, E., & Walsum, T. van. (2015). Layer Separation for Vessel Enhancement in Interventional X-ray Angiograms Using Morphological Filtering and Robust PCA. In C. A. Linte, Z. Yaniv, & P. Fallavollita (Eds.), Augmented Environments for Computer-Assisted Interventions (pp. 104–113). Springer International Publishing. Retrieved from http://link.springer.com/chapter/10.1007/978-3-319-24601-7_11
  2. Ambrosini, P., Smal, I., Ruijters, D., Niessen, W. J., Moelker, A., & Walsum, T. van. (2015). 3D Catheter Tip Tracking in 2D X-Ray Image Sequences Using a Hidden Markov Model and 3D Rotational Angiography. In C. A. Linte, Z. Yaniv, & P. Fallavollita (Eds.), Augmented Environments for Computer-Assisted Interventions (pp. 38–49). Springer International Publishing. Retrieved from http://link.springer.com/chapter/10.1007/978-3-319-24601-7_5
  3. Banerjee, J., Moelker, A., Niessen, W. J., & Walsum, T. van. (2013). 3D LBP-Based Rotationally Invariant Region Description. In J.-I. Park & J. Kim (Eds.), Computer Vision - ACCV 2012 Workshops (pp. 26–37). Springer Berlin Heidelberg. Retrieved from http://link.springer.com/chapter/10.1007/978-3-642-37410-4_3
  4. Haak, A., Vegas-Sanchez-Ferrero, G., Mulder, H. H., Kirisli, H. A., Baka, N., Metz, C., … Bosch, J. G. (2013). Segmentation of 3D Transesophageal Echocardiograms by Multi-cavity Active Shape Model and Gamma Mixture Model. In H. Liao, C. A. Linte, K. Masamune, T. M. Peters, & G. Zheng (Eds.), Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions (pp. 19–26). Springer Berlin Heidelberg. Retrieved from http://link.springer.com/chapter/10.1007/978-3-642-40843-4_3
  5. Luu, H. M., Moelker, A., Klink, C., Mendrik, A., Niessen, W., & Walsum, T. van. (2012). Evaluation of Diffusion Filters for 3D CTA Liver Vessel Enhancement. In H. Yoshida, D. Hawkes, & M. W. Vannier (Eds.), Abdominal Imaging. Computational and Clinical Applications (pp. 168–177). Springer Berlin Heidelberg. Retrieved from http://link.springer.com/chapter/10.1007/978-3-642-33612-6_18
  6. Schaap, M., Neefjes, L., Metz, C., Giessen, A., Weustink, A., Mollet, N., … Niessen, W. (2009). Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression. In J. L. Prince, D. L. Pham, & K. J. Myers (Eds.), Information Processing in Medical Imaging (Vol. 5636, pp. 528–539). Berlin, Heidelberg: Springer Berlin Heidelberg. Retrieved from http://www.springerlink.com/content/j1j27m6n763l8275/
  7. Schaap, M., Smal, I., Metz, C., van Walsum, T., & Niessen, W. (2007). Bayesian Tracking of Elongated Structures in 3D Images. In N. Karssemeijer & B. Lelieveldt (Eds.), Information Processing in Medical Imaging (Vol. 4584, pp. 74–85). Springer Berlin / Heidelberg. Retrieved from http://www.springerlink.com/content/p33612n023l30h16/abstract/
  8. Sadarjoen, I. A., Van Walsum, T., Hin, A. J. S., & Post, F. H. (1994). Particle Tracing Algorithms for 3D Curvilinear Grids. In Scientific Visualization: Overviews Methodologies Techniques.