An analysis of inter-fraction prostate deformation relative to implanted fiducial markers using finite element modelling

Jaffray, D.; Brock, K.; Nichol, Alan; Moseley, D; Catton, C.; Warde, Padraig

doi:10.1016/s0360-3016(04)01244-1

Cited by 3 publications

(2 citation statements)

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“…Recently, there have been a number of approaches publish to align highresolution MRI (and in some cases MRI/MRSI) using endo-rectal coils (ERC) with US or CT imagery. 72 ERCs introduce anatomical shifts, tilts and deformations, which need to be compensated when fusing with CT. Kim et al measured prostate translation, rotation and deformation using rigid and expandable ERCs. The degree of geometric change could be reduced using rigid coil to some extent.…”

Section: Image Fusionmentioning

confidence: 99%

Deformable Image Registration for Radiation Therapy Planning: Algorithms and Applications

Kaus

Brock²

2007

Biomechanical Systems Technology

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Approximately 60% of cancer patients are treated with external beam radiotherapy at some point during disease management. Despite the extended time frame of fractionated therapy (4-6 weeks), radiation therapy planning is carried out based on information that is currently limited to a single 3D anatomical computed tomography scan at the onset of treatment. This concept may result in severe treatment uncertainties, including the irradiation of risk organs and reduced tumor coverage. Repeat 3D single or multi-modality imaging acquired at various time intervals during and after a radiation course provides the opportunity to increase treatment accuracy and precision by optimizing treatment in response to anatomical changes; to improve target delineation through modality-specific complementary tumor representations, and to assess treatment response. Integration of multiple imaging sources into a single patient model requires compensation of geometric differences while maintaining modality-specific differences in information content. Deformable image registration aims to reduce such uncertainties by estimating the spatial relationship between the volume elements of corresponding structures across image data. This paper reviews the algorithmic components of deformation algorithms, and their application to treatment sites with evident geometric changes, including mono-and multi-modal image registration for cancer of the head and neck, lung, liver, and prostate.

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Section: Image Fusionmentioning

confidence: 99%

Deformable Image Registration for Radiation Therapy Planning: Algorithms and Applications

Kaus

Brock²

2007

Biomechanical Systems Technology

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“…Some of them track a tumor with implanted gold markers into or near the tumor. [6][7][8] These markers can be precisely localized in treatment images. Therefore, such a strategy provides a very accurate method to track a tumor.…”

Section: Introductionmentioning

confidence: 99%

Target motion measurement without implanted markers and its validation by comparison with manually obtained data

et al. 2005

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For an effective radiotherapy the exact tumor location must be determined. The localization has to take into account patient's setup position as well as internal organ motion. Among the different localization methods, the use of a computer tomography (CT) scanner in the therapy room has been proposed recently. Achieving a CT with the patient on the therapy couch, a patient's treatment position is captured. We present a method to locate tumor considering internal organ motion and displacements due to respiration. We tested the method with prostate and lung patients. The method found the most probable tumor position as well as, for high-mobility tumors located in the lung, its trajectory during the respiratory cycle. The results of this novel method were validated by comparison with manually determined target position.

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Adaptive Treatment Planning

Papanikolaou

Mavroidis

Knaup

et al. 2014

Comprehensive Biomedical Physics

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An analysis of inter-fraction prostate deformation relative to implanted fiducial markers using finite element modelling

Cited by 3 publications

References 0 publications

Deformable Image Registration for Radiation Therapy Planning: Algorithms and Applications

Deformable Image Registration for Radiation Therapy Planning: Algorithms and Applications

Target motion measurement without implanted markers and its validation by comparison with manually obtained data

Adaptive Treatment Planning

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