2010
DOI: 10.1118/1.3443436
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A symmetric nonrigid registration method to handle large organ deformations in cervical cancer patients

Abstract: The developed symmetric method could be employed to perform fast, accurate, consistent, and anatomically coherent registration of organs with large and complex deformations. Therefore, the method is a useful tool that could support further developments in high precision image guided radiotherapy.

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Cited by 66 publications
(92 citation statements)
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“…Despite the reported DIR accuracy for anatomical borders, the limited soft-tissue contrast in CBCT imaging prevents accurate correspondences within structures. Specific structure-based algorithms are developed to overcome this limitation [17]; however, the accuracy of such algorithms for dose accumulation is unknown and first need to be derived in an independent study. Also, a prospective evaluation of ART based on a large number of patient is required to determine the actual benefit of ART in terms of tumor control and toxicity.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite the reported DIR accuracy for anatomical borders, the limited soft-tissue contrast in CBCT imaging prevents accurate correspondences within structures. Specific structure-based algorithms are developed to overcome this limitation [17]; however, the accuracy of such algorithms for dose accumulation is unknown and first need to be derived in an independent study. Also, a prospective evaluation of ART based on a large number of patient is required to determine the actual benefit of ART in terms of tumor control and toxicity.…”
Section: Discussionmentioning
confidence: 99%
“…After bony registration of both planning CTs, corresponding primary CTVs (pCTVs) which encompassed the GTV, cervix, corpus-uterus and upper part of the vagina were registered using a structure-based deformable image registration (DIR) algorithm [17]. The patient-specific full-range primary internal target volume (pITV) was divided in pITV subranges by scaling the deformation vectors (Supplementary Figure A1).…”
Section: Target and Oar Definitionmentioning
confidence: 99%
“…After bony registration of both planning CTs, the pCTV on the full bladder planning CT was registered to the pCTV on the empty bladder planning CT using a structure-based deformable image registration algorithm [15]. The obtained deformation vectors after registration represented the connection between corresponding points on both structures.…”
Section: Library Of Structuresmentioning
confidence: 99%
“…Bondar et al [41] proposed to use a landmark guided thin spline based symmetric non-rigid registration to register organs of interest such as the bladder. Two variants of the registration algorithm were developed; symmetric and asymmetric.…”
Section: Ctmentioning
confidence: 99%
“…The regression based approach facilitated the selection of the most probable deformation of the cervix and the uterus depending on the bladder volume. A symmetric registration [41] between the predicted volume and the treatment day CT was finally performed for adaptive re-planning.…”
Section: Ctmentioning
confidence: 99%