State‐of‐the‐Art Report: Visual Computing in Radiation Therapy Planning
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Bernhard Preim | Paul Martin Putora | Katja Bühler | Renata Georgia Raidou | Ludvig Paul Muren | Matthias Schlachter | B. Preim | K. Bühler | R. Raidou | L. Muren | P. Putora | Matthias Schlachter
[1] S Shalev,et al. Colour visualization as an aid to the comparison of treatment plans for prostatic carcinoma. , 1987, Acta oncologica.
[2] Jan Hendrik Moltz,et al. Sketch‐Based Editing Tools for Tumour Segmentation in 3D Medical Images , 2013, Comput. Graph. Forum.
[3] Benjamin E. Nelms,et al. A survey on planar IMRT QA analysis , 2007, Journal of applied clinical medical physics.
[4] Ghassan Hamarneh,et al. Visualization and exploration of time-varying medical image data sets , 2007, GI '07.
[5] G T Chen,et al. Volumetric visualization of head and neck CT data for treatment planning. , 1999, International journal of radiation oncology, biology, physics.
[6] Holly Ning,et al. A novel 3D volumetric voxel registration technique for volume-view-guided image registration of multiple imaging modalities. , 2005, International journal of radiation oncology, biology, physics.
[7] Marc A. van Driel,et al. Visual Analytics in Histopathology Diagnostics: a Protocol-Based Approach , 2018, VCBM@MICCAI.
[8] Rüdiger Westermann,et al. Interactive Mesh Smoothing for Medical Applications , 2013, Comput. Graph. Forum.
[9] Te Vuong,et al. Past, present, and future of radiotherapy for the benefit of patients , 2013, Nature Reviews Clinical Oncology.
[10] Marcel Breeuwer,et al. The iCoCooN: Integration of Cobweb Charts with Parallel Coordinates for Visual Analysis of DCE-MRI Modeling Variations , 2014, VCBM.
[11] Bernhard Preim,et al. A visual analytics approach to diagnosis of breast DCE-MRI data , 2010, Comput. Graph..
[12] Paul J Keall,et al. Geometric accuracy of dynamic MLC tracking with an implantable wired electromagnetic transponder , 2011, Acta oncologica.
[13] J. Kaanders,et al. Mini Symposium: Pet—the Future from Anatomical to Biological Target Volumes: the Role of Pet in Radiation Treatment Planning , 2022 .
[14] Soonmee Cha,et al. Modern Brain Tumor Imaging , 2015, Brain tumor research and treatment.
[15] Alexander Muacevic,et al. Multicriteria optimization of the spatial dose distribution. , 2013, Medical physics.
[16] Michael Tapner,et al. Abdo-Man: a 3D-printed anthropomorphic phantom for validating quantitative SIRT , 2016, EJNMMI Physics.
[17] Benjamin Berkels,et al. Survey of Non-Rigid Registration Tools in Medicine , 2017, Journal of Digital Imaging.
[18] Bernard Dubray,et al. Conformal radiotherapy for lung cancer: different delineation of the gross tumor volume (GTV) by radiologists and radiation oncologists. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[19] Silvia Miksch,et al. Characterizing Guidance in Visual Analytics , 2017, IEEE Transactions on Visualization and Computer Graphics.
[20] Di Yan,et al. Image-Guided/Adaptive Radiotherapy , 2006 .
[21] J Seuntjens,et al. MMCTP: a radiotherapy research environment for Monte Carlo and patient-specific treatment planning. , 2007, Physics in medicine and biology.
[22] Marcel van Herk,et al. Errors and margins in radiotherapy. , 2004, Seminars in radiation oncology.
[23] Namkug Kim,et al. Functional MR imaging of prostate cancer. , 2007, Radiographics : a review publication of the Radiological Society of North America, Inc.
[24] Peter L Choyke,et al. Imaging prostate cancer: a multidisciplinary perspective. , 2007, Radiology.
[25] James M. Balter,et al. Incorporating big data into treatment plan evaluation: Development of statistical DVH metrics and visualization dashboards , 2017, Advances in radiation oncology.
[26] Jerry L Prince,et al. Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.
[27] Max A. Viergever,et al. A survey of medical image registration - under review , 2016, Medical Image Anal..
[28] L Verhey,et al. Registration of magnetic resonance spectroscopic imaging to computed tomography for radiotherapy treatment planning. , 2001, Medical physics.
[29] Renata G. Raidou,et al. Visual Analytics for Digital Radiotherapy: Towards a Comprehensible Pipeline , 2017, Eurographics.
[30] Joos V Lebesque,et al. Inclusion of geometric uncertainties in treatment plan evaluation. , 2002, International journal of radiation oncology, biology, physics.
[31] Telma Cristina Ferreira Fonseca,et al. SOFT-RT: Software for IMRT simulations based on MCNPx code. , 2016, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.
[32] John N. Tsitsiklis,et al. Robust Management of Motion Uncertainty in Intensity-Modulated Radiation Therapy , 2008, Oper. Res..
[33] Kai Lawonn,et al. A Survey on Multimodal Medical Data Visualization , 2018, Comput. Graph. Forum.
[34] Michael Milosevic,et al. Image-Guided Adaptive Radiotherapy – Delivering Personalized Radiation Medicine to Improve Treatment Quality and Patients’ Outcome , 2013 .
[35] C A Pelizzari,et al. Image processing in stereotactic planning: volume visualization and image registration. , 1998, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.
[36] C. Zappa,et al. Non-small cell lung cancer: current treatment and future advances. , 2016, Translational lung cancer research.
[37] James M. Slater,et al. From X-Rays to Ion Beams: A Short History of Radiation Therapy , 2012 .
[38] Belur V. Dasarathy,et al. Medical Image Fusion: A survey of the state of the art , 2013, Inf. Fusion.
[39] Johannes Czernin,et al. Current concepts in F18 FDG PET/CT-based radiation therapy planning for lung cancer , 2012, Front. Oncol..
[40] M van Herk,et al. Reconstruction of a time-averaged midposition CT scan for radiotherapy planning of lung cancer patients using deformable registration. , 2008, Medical physics.
[41] Geoff Delaney M.B.B.S.,et al. The role of radiotherapy in cancer treatment , 2005 .
[42] D A Jaffray,et al. Managing geometric uncertainty in conformal intensity-modulated radiation therapy. , 1999, Seminars in radiation oncology.
[43] Brian W. Pogue,et al. Online Combination of EPID & Cherenkov Imaging for 3-D Dosimetry in a Liquid Phantom , 2017, IEEE Transactions on Medical Imaging.
[44] H. Shiomi,et al. Evaluation of potential internal target volume of liver tumors using cine-MRI. , 2014, Medical physics.
[45] Karthik Krishnan,et al. Interactive deformation registration of endorectal prostate MRI using ITK thin plate splines. , 2009, Academic radiology.
[46] Tsair-Fwu Lee,et al. A Volume Visualization System with Augmented Reality Interaction for Evaluation of Radiotherapy Plans , 2009, 2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC).
[47] Nigel W. John,et al. RAD-AR: RADiotherapy - Augmented Reality , 2017, 2017 International Conference on Cyberworlds (CW).
[48] Marc Levoy,et al. Volume rendering in radiation treatment planning , 1990, [1990] Proceedings of the First Conference on Visualization in Biomedical Computing.
[49] Ernest J. Feleppa,et al. Application of spectrum analysis and neural-network classification to imaging for targeting and monitoring treatment of prostate cancer , 2001, 2001 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.01CH37263).
[50] B. Delahunt,et al. The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma: Definition of Grading Patterns and Proposal for a New Grading System , 2015, The American journal of surgical pathology.
[51] Ludvig Paul Muren,et al. A tumour control probability model for radiotherapy of prostate cancer using magnetic resonance imaging-based apparent diffusion coefficient maps. , 2016, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[52] Toomas Timpka,et al. Situated cognition in clinical visualization: The role of transparency in GammaKnife neurosurgery planning , 2009, Artif. Intell. Medicine.
[53] Tsair-Fwu Lee,et al. A multimodality image registration framework for synchronous visualization of radiotherapy plans with longitudinal imaging studies , 2009, ICUIMC '09.
[54] Young-Bin Cho,et al. A novel method to quantify and compare anatomical shape: application in cervix cancer radiotherapy , 2014, Physics in medicine and biology.
[55] Gerald Krell,et al. A multimodal image fusion framework applied in radiotherapy , 2001, Proceedings Fifth International Conference on Information Visualisation.
[56] Daniel Bystrov,et al. A new method for robust organ positioning in CT images , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[57] Bernhard Preim,et al. Interactive Visual Analysis of Perfusion Data , 2007, IEEE Transactions on Visualization and Computer Graphics.
[58] Kerrie Mengersen,et al. An image‐guided radiotherapy decision support framework incorporating a Bayesian network and visualization tool , 2018, Medical physics.
[59] J Kraeima,et al. Secondary surgical management of osteoradionecrosis using three-dimensional isodose curve visualization: a report of three cases. , 2018, International journal of oral and maxillofacial surgery.
[60] Heinz Handels,et al. Generation of a Mean Motion Model of the Lung Using 4D-CT Image Data , 2008, VCBM.
[61] Baris Turkbey,et al. Imaging localized prostate cancer: current approaches and new developments. , 2009, AJR. American journal of roentgenology.
[62] Søren M Bentzen,et al. Dose painting and theragnostic imaging: towards the prescription, planning and delivery of biologically targeted dose distributions in external beam radiation oncology. , 2008, Cancer treatment and research.
[63] Daniel Patel,et al. A virtual reality solution for evaluation of radiotherapy plans. , 2007, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[64] Renata G. Raidou. Uncertainty Visualization: Recent Developments and Future Challenges in Prostate Cancer Radiotherapy Planning , 2018, EuroRV³@EuroVis.
[65] Suresh Senan,et al. Color intensity projections: a rapid approach for evaluating four-dimensional CT scans in treatment planning. , 2006, International journal of radiation oncology, biology, physics.
[66] Marc A. van Driel,et al. PathoVA: A visual analytics tool for pathology diagnosis and reporting , 2017, 2017 IEEE Workshop on Visual Analytics in Healthcare (VAHC).
[67] G T Chen,et al. Volume visualization in radiation treatment planning. , 2000, Critical reviews in diagnostic imaging.
[68] Arie E. Kaufman,et al. Prostate Cancer Visualization from MR Imagery and MR Spectroscopy , 2011, Comput. Graph. Forum.
[69] Nikos Paragios,et al. Deformable Medical Image Registration: A Survey , 2013, IEEE Transactions on Medical Imaging.
[70] Christopher J. Moore,et al. Multi-modal surface/outline projection and simulation of target/critical tissue movement , 1997, Proceedings. 1997 IEEE Conference on Information Visualization (Cat. No.97TB100165).
[71] Sandy Stutsman,et al. Application of holographic display in radiotherapy treatment planning II: a multi‐institutional study , 2009, Journal of applied clinical medical physics.
[72] G G Hanna,et al. UK Consensus on Normal Tissue Dose Constraints for Stereotactic Radiotherapy. , 2018, Clinical oncology (Royal College of Radiologists (Great Britain)).
[73] Namkug Kim,et al. Apparent diffusion coefficient: Prostate cancer versus noncancerous tissue according to anatomical region , 2008, Journal of magnetic resonance imaging : JMRI.
[74] Marco van Vulpen,et al. Validation of functional imaging with pathology for tumor delineation in the prostate. , 2009, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[75] Sanjay N. Talbar,et al. Multimodality image fusion in frequency domain for radiation therapy , 2014, 2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom).
[76] C C Ling,et al. Towards multidimensional radiotherapy (MD-CRT): biological imaging and biological conformality. , 2000, International journal of radiation oncology, biology, physics.
[77] Maaike R Moman,et al. Pathologic validation of a model based on diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging for tumor delineation in the prostate peripheral zone. , 2012, International journal of radiation oncology, biology, physics.
[78] Jianhua Yan,et al. Serial FDG-PET/MR Imaging for Head and Neck Cancer Radiation Therapy: A Pilot Study , 2017, IEEE Transactions on Radiation and Plasma Medical Sciences.
[79] C. Njeh,et al. Tumor delineation: The weakest link in the search for accuracy in radiotherapy , 2008, Journal of medical physics.
[80] Victoria Interrante,et al. Conveying the 3D Shape of Smoothly Curving Transparent Surfaces via Texture , 1997, IEEE Trans. Vis. Comput. Graph..
[81] Vladimir Pekar,et al. Assessment of a model-based deformable image registration approach for radiation therapy planning. , 2007, International journal of radiation oncology, biology, physics.
[82] S. Samanta,et al. Adding another dimension to plan evaluation: visualising the dose–volume histogram band in head and neck radiotherapy and exploring its utility , 2017, Journal of Radiotherapy in Practice.
[83] Seong Soon Jang,et al. Usefulness of target delineation based on the two extreme phases of a four-dimensional computed tomography scan in stereotactic body radiation therapy for lung cancer , 2015, Thoracic cancer.
[84] E. Yorke,et al. Use of normal tissue complication probability models in the clinic. , 2010, International journal of radiation oncology, biology, physics.
[85] Jannick P. Rolland,et al. Real-Time Simulation of 4D Lung Tumor Radiotherapy Using a Breathing Model , 2008, MICCAI.
[86] Steve B. Jiang,et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.
[87] Georgios Sakas,et al. Collaborative Virtual Simulation Environment for Radiotherapy Treatment Planning , 2000, Comput. Graph. Forum.
[88] R A Robb,et al. 3-D visualization in biomedical applications. , 1999, Annual review of biomedical engineering.
[89] Marcel Breeuwer,et al. Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers , 2016, MICCAI.
[90] Marcel van Herk,et al. Using a contextualized sensemaking model for interaction design: A case study of tumor contouring , 2017, J. Biomed. Informatics.
[91] G T Chen,et al. Volumetric visualization of anatomy for treatment planning. , 1996, International journal of radiation oncology, biology, physics.
[92] Bernhard Preim,et al. Staircase-Aware Smoothing of Medical Surface Meshes , 2010, VCBM.
[93] U Oelfke,et al. Simulation and visualization of dose uncertainties due to interfractional organ motion. , 2006, Physics in medicine and biology.
[94] Elmar Eisemann,et al. DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks , 2018, IEEE Transactions on Visualization and Computer Graphics.
[95] Marcel Breeuwer,et al. Visual analytics for the exploration of multiparametric cancer imaging , 2014, 2014 IEEE Conference on Visual Analytics Science and Technology (VAST).
[96] George Starkschall,et al. Plan space: representation of treatment plans in multidimensional space. , 2002, International journal of radiation oncology, biology, physics.
[97] Ali Kamen,et al. A Novel Intensity Similarity Metric with Soft Spatial Constraint for a Deformable Image Registration Problem in Radiation Therapy , 2009, MICCAI.
[98] Marcel Breeuwer,et al. Visual Analytics for the Exploration of Tumor Tissue Characterization , 2015, Comput. Graph. Forum.
[99] R Mohan,et al. Dose-volume histograms. , 1991, International journal of radiation oncology, biology, physics.
[100] Ross T. Whitaker,et al. Contour Boxplots: A Method for Characterizing Uncertainty in Feature Sets from Simulation Ensembles , 2013, IEEE Transactions on Visualization and Computer Graphics.
[101] Cai Grau,et al. Virtual reality in radiation therapy training. , 2011, Surgical oncology.
[102] S Webb,et al. A model for calculating tumour control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density. , 1993, Physics in medicine and biology.
[103] A. Gerbaulet,et al. The GEC ESTRO handbook of brachytherapy , 2002 .
[104] Horst K. Hahn,et al. Uncertainty in medical visualization: Towards a taxonomy , 2014, Comput. Graph..
[105] Thomas Bortfeld,et al. Visualization of a variety of possible dosimetric outcomes in radiation therapy using dose-volume histogram bands. , 2012, Practical radiation oncology.
[106] Eigil Samset,et al. Summarizing and Visualizing Uncertainty in Non-rigid Registration , 2010, MICCAI.
[107] Hans-Christian Hege,et al. Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model , 2008, VCBM.
[108] Kresimir Matkovic,et al. An integrated visual analysis system for fusing MR spectroscopy and multi-modal radiology imaging , 2014, 2014 IEEE Conference on Visual Analytics Science and Technology (VAST).
[109] Baris Turkbey,et al. Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management. , 2012, AJR. American journal of roentgenology.
[110] M. A. Herrero,et al. A dose-volume histogram based decision-support system for dosimetric comparison of radiotherapy treatment plans , 2015, Radiation oncology.
[111] Steve B. Jiang,et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. , 2006, Medical physics.
[112] Karsten Eilertsen,et al. Adaptive radiotherapy based on contrast enhanced cone beam CT imaging , 2010, Acta oncologica.
[113] Marianne C Aznar,et al. Interactive decision-support tool for risk-based radiation therapy plan comparison for Hodgkin lymphoma. , 2014, International journal of radiation oncology, biology, physics.
[114] Satoshi Tanaka,et al. DICOM-RT extension support of visualization tool for radiotherapy simulation , 2010, IEEE Nuclear Science Symposuim & Medical Imaging Conference.
[115] Mathieu De Craene,et al. Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients. , 2007, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[116] H.-O. Peitgen,et al. Novel methods for parameter-based analysis of myocardial tissue in MR images , 2007, SPIE Medical Imaging.
[117] Dragan Mirkovic,et al. Visualization of risk of radiogenic second cancer in the organs and tissues of the human body , 2015, Radiation oncology.
[118] Bernhard Preim,et al. Survey of the Visual Exploration and Analysis of Perfusion Data , 2009, IEEE Transactions on Visualization and Computer Graphics.
[119] M. Kimura,et al. Visualization of 3D medical images for radiotherapy planning , 1991, Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference.
[120] L. Pirola,et al. Prompt imaging of absorbed dose in tissue-equivalent gel-phantoms and new toolkit for 3D data visualization , 2000, 2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149).
[121] Andras Lasso,et al. SlicerRT: radiation therapy research toolkit for 3D Slicer. , 2012, Medical physics.
[122] P. Evans. Anatomical imaging for radiotherapy , 2008, Physics in medicine and biology.
[123] P. Maddock. Intensity modulated radiation therapy. , 2006, Medicine and health, Rhode Island.
[124] P. Carroll,et al. Multiparametric magnetic resonance imaging in prostate cancer: present and future , 2008, Current opinion in urology.
[125] A. Ahnesjö,et al. Dose calculations for external photon beams in radiotherapy. , 1999, Physics in medicine and biology.
[126] Sébastien Ourselin,et al. Toward adaptive radiotherapy for head and neck patients: Uncertainties in dose warping due to the choice of deformable registration algorithm. , 2015, Medical physics.
[127] B. Heijmen,et al. Geometrical uncertainties, radiotherapy planning margins, and the ICRU-62 report. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[128] Katja Bühler,et al. A Survey on Visualizing Magnetic Resonance Spectroscopy Data , 2014, VCBM.
[129] Stefan Bruckner,et al. MammoExplorer: An Advanced CAD Application for Breast DCE-MRI , 2005 .
[130] C. Michel,et al. Head and neck multimodality volumes visualization methods , 2002, 2002 IEEE Nuclear Science Symposium Conference Record.
[131] Wolfgang Birkfellner,et al. Real-time 2D/3D registration using kV-MV image pairs for tumor motion tracking in image guided radiotherapy , 2013, Acta oncologica.
[132] Qi Zhang,et al. Volume Visualization: A Technical Overview with a Focus on Medical Applications , 2011, Journal of Digital Imaging.
[133] W. Sung,et al. The Development of a VR-Based Treatment Planning System for Oncology , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[134] Christian P Karger,et al. A method to visualize the uncertainty of the prediction of radiobiological models. , 2013, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.
[135] Cher Heng Tan,et al. Diffusion weighted imaging in prostate cancer , 2011, European Radiology.
[136] Brian W Pogue,et al. Cherenkov video imaging allows for the first visualization of radiation therapy in real time. , 2014, International journal of radiation oncology, biology, physics.
[137] David Dagan Feng,et al. Real-Time Volume Rendering Visualization of Dual-Modality PET/CT Images With Interactive Fuzzy Thresholding Segmentation , 2007, IEEE Transactions on Information Technology in Biomedicine.
[138] J. Fütterer,et al. ESUR prostate MR guidelines 2012 , 2012, European Radiology.
[139] Victoria Interrante,et al. Illustrating transparent surfaces with curvature-directed strokes , 1996, Proceedings of Seventh Annual IEEE Visualization '96.
[140] Adinda Freudenthal,et al. Workflow analysis report , 2013 .
[141] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[142] Arnold W. M. Smeulders,et al. Interaction in the segmentation of medical images: A survey , 2001, Medical Image Anal..
[143] Bernhard Preim,et al. Illustrative PET/CT Visualisation of SIRT-Treated Lung Metastases , 2016, VCBM/MedViz.
[144] Marcel van Herk,et al. Margins for geometric uncertainty around organs at risk in radiotherapy. , 2002, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[145] Wolfgang Birkfellner,et al. Visualization of Deformable Image Registration Quality Using Local Image Dissimilarity , 2016, IEEE Trans. Medical Imaging.
[146] Jyrki Alakuijala,et al. Beam's light view: visualization of radiotherapy treatment planning fields on anatomic surfaces , 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).
[147] Timo Ropinski,et al. A Survey of Perceptually Motivated 3D Visualization of Medical Image Data , 2016, Comput. Graph. Forum.
[148] G. Parker,et al. Prostate cancer: evaluation of vascular characteristics with dynamic contrast-enhanced T1-weighted MR imaging--initial experience. , 2004, Radiology.
[149] M. Knopp,et al. Estimating kinetic parameters from dynamic contrast‐enhanced t1‐weighted MRI of a diffusable tracer: Standardized quantities and symbols , 1999, Journal of magnetic resonance imaging : JMRI.
[150] Konstantina S. Nikita,et al. In silico radiation oncology: combining novel simulation algorithms with current visualization techniques , 2002, Proc. IEEE.
[151] Angel I. Blanco,et al. The use of modern imaging technologies in radiation therapy of cervical cancer , 2015, Journal of Radiation Oncology.
[152] Hao Li,et al. Depth Sensor-Based Realtime Tumor Tracking for Accurate Radiation Therapy , 2014, Eurographics.
[153] Rüdiger Westermann,et al. A survey of medical image registration on graphics hardware , 2011, Comput. Methods Programs Biomed..
[154] David Gotz,et al. Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics , 2014, IEEE Transactions on Visualization and Computer Graphics.
[155] Shinichiro Mori,et al. Quantification and visualization of charged particle range variations. , 2008, International journal of radiation oncology, biology, physics.
[156] M Wannenmacher,et al. Combined error of patient positioning variability and prostate motion uncertainty in 3D conformal radiotherapy of localized prostate cancer. , 1996, International journal of radiation oncology, biology, physics.
[157] Marcel Breeuwer,et al. Visual Analytics for the Exploration and Assessment of Segmentation Errors , 2016, VCBM/MedViz.
[158] Georgios Sakas,et al. Regmentation: A New View of Image Segmentation and Registration , 2017, Journal of Radiation Oncology Informatics.
[159] Wiro J. Niessen,et al. User Interaction in Semi-Automatic Segmentation of Organs at Risk: a Case Study in Radiotherapy , 2015, Journal of Digital Imaging.
[160] Eduard Gröller,et al. Bladder Runner: Visual Analytics for the Exploration of RT‐Induced Bladder Toxicity in a Cohort Study , 2018, Comput. Graph. Forum.
[161] Dimos Baltas,et al. EXOMIO: A 3D Simulator for External Beam Radiotherapy , 2001, VG.
[162] K. P. Lam,et al. On evaluation of a multiscale-based CT image analysis and visualisation algorithm , 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.
[163] M. Alber,et al. On the visualization of universal degeneracy in the IMRT problem , 2006, Radiation oncology.
[164] R. Bendl,et al. Real-time dose calculation and visualization for the proton therapy of ocular tumours , 2001, Physics in medicine and biology.
[165] Cai Grau,et al. Dose painting: art or science? , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.
[166] George T. Y. Chen,et al. Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion. , 2005, International journal of radiation oncology, biology, physics.
[167] Timo Ropinski,et al. Deriving and Visualizing Uncertainty in Kinetic PET Modeling , 2012, VCBM.
[168] Cai Grau,et al. The normal tissue sparing potential of adaptive strategies in radiotherapy of bladder cancer , 2008, Acta oncologica.
[169] Jake Van Dyk,et al. Experience-driven dose-volume histogram maps of NTCP risk as an aid for radiation treatment plan selection and optimization. , 2007, Medical physics.
[170] D. E. Wessol,et al. MINERVA-a multi-modal radiation treatment planning system. , 2004, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.
[171] Julien Bert,et al. Fully automatic deformable registration of pretreatment MRI/CT for image‐guided prostate radiotherapy planning , 2017, Medical physics.
[172] Russell H. Taylor,et al. Patient geometry-driven information retrieval for IMRT treatment plan quality control. , 2009, Medical physics.
[173] K. Albuquerque,et al. Effectiveness of Virtual Reality Simulation Software in Radiotherapy Treatment Planning Involving Non-Coplanar Beams with Partial Breast Irradiation as a Model , 2012, Technology in cancer research & treatment.
[174] Jan Flusser,et al. Image registration methods: a survey , 2003, Image Vis. Comput..
[175] K de Geus,et al. Three-dimensional stylization of structures of interest from computed tomography images applied to radiotherapy planning. , 1996, International journal of radiation oncology, biology, physics.
[176] Victoria Interrante,et al. Enhancing transparent skin surfaces with ridge and valley lines , 1995, Proceedings Visualization '95.
[177] J. Chavaudra,et al. Prescribing, Recording, and Reporting Electron Beam Therapy , 2004, Journal of the ICRU.
[178] Katja Bühler,et al. Visualization of 4D multimodal imaging data and its applications in radiotherapy planning , 2017, Journal of applied clinical medical physics.
[179] Per Nilsson,et al. What's new in target volume definition for radiologists in ICRU Report 71? How can the ICRU volume definitions be integrated in clinical practice? , 2007, Cancer imaging : the official publication of the International Cancer Imaging Society.
[180] Jake Van Dyk,et al. Image-guided adaptive radiation therapy (IGART): Radiobiological and dose escalation considerations for localized carcinoma of the prostate. , 2005, Medical physics.
[181] Wen-Chung Chang,et al. Integration of multidisciplinary technologies for real time target visualization and verification for radiotherapy , 2014, OncoTargets and therapy.
[182] Sasa Mutic,et al. Technical note: DIRART--A software suite for deformable image registration and adaptive radiotherapy research. , 2011, Medical physics.
[183] Lutz Moser,et al. Virtual Simulation of a Boost Field in Adjuvant Radiotherapy of the Breast , 2004, Strahlentherapie und Onkologie.
[184] David R. Burton,et al. Morphological definition of anatomic shapes using minimal datasets , 2000, 2000 IEEE Conference on Information Visualization. An International Conference on Computer Visualization and Graphics.
[185] V.R.S Mani,et al. Survey of Medical Image Registration , 2013 .
[186] Paul Martin Putora,et al. Informatics in Radiation Oncology , 2015 .
[187] Per Thunberg,et al. Evaluation of two commercial CT metal artifact reduction algorithms for use in proton radiotherapy treatment planning in the head and neck area , 2018, Medical physics.
[188] Huaqing Zheng,et al. Reconstrucion and visualization of 3D surface model from serial-sectioned contour points , 2010, 2010 3rd International Congress on Image and Signal Processing.
[189] Christopher J. Moore,et al. Visualisation of Delineation Structure Variability in Radiotherapy , 2006, International Conference on Medical Information Visualisation - BioMedical Visualisation (MedVis'06).
[190] Joseph O. Deasy,et al. Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities , 2008, 2008 Seventh International Conference on Machine Learning and Applications.
[191] Dan Stoianovici,et al. Advancements in MR imaging of the prostate: from diagnosis to interventions. , 2011, Radiographics : a review publication of the Radiological Society of North America, Inc.
[192] Geoff Delaney,et al. The role of radiotherapy in cancer treatment , 2005, Cancer.
[193] Marcel Breeuwer,et al. Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response , 2016, Comput. Graph. Forum.
[194] Anna Vilanova,et al. Uncertainty evaluation of image-based tumour control probability models in radiotherapy of prostate cancer using a visual analytic tool , 2018, Physics and imaging in radiation oncology.
[195] Yibo Li,et al. Computer Simulation of Radiotherapy Dose Distribution in Tissue , 2006, 2006 6th World Congress on Intelligent Control and Automation.
[196] E. Hall,et al. Radiation-induced second cancers: the impact of 3D-CRT and IMRT. , 2003, International journal of radiation oncology, biology, physics.
[197] Marcel Breeuwer,et al. Comparative Visual Analysis of Pelvic Organ Segmentations , 2018, EuroVis.
[198] H. Griethe. Visualizing Uncertainty for Improved Decision Making , 2005 .
[199] Nick White,et al. Principles and Practice of Radiation Therapy , 2009 .
[200] Cai Grau,et al. A Virtual Environment for Radiotherapy Training and Education - VERT , 2011, Eurographics.