Literature DB >> 18677041

Auto-propagation of contours for adaptive prostate radiation therapy.

Ming Chao1, Yaoqin Xie, Lei Xing.   

Abstract

The purpose of this work is to develop an effective technique to automatically propagate contours from planning CT to cone beam CT (CBCT) to facilitate CBCT-guided prostate adaptive radiation therapy. Different from other disease sites, such as the lungs, the contour mapping here is complicated by two factors: (i) the physical one-to-one correspondence may not exist due to the insertion or removal of some image contents within the region of interest (ROI); and (ii) reduced contrast to noise ratio of the CBCT images due to increased scatter. To overcome these issues, we investigate a strategy of excluding the regions with variable contents by a careful design of a narrow shell signifying the contour of an ROI. For rectum, for example, a narrow shell with the delineated contours as its interior surface was constructed to avoid the adverse influence of the day-to-day content change inside the rectum on the contour mapping. The corresponding contours in the CBCT were found by warping the narrow shell through the use of BSpline deformable model. Both digital phantom experiments and clinical case testing were carried out to validate the proposed ROI mapping method. It was found that the approach was able to reliably warp the constructed narrow band with an accuracy better than 1.3 mm. For all five clinical cases enrolled in this study, the method yielded satisfactory results even when there were significant rectal content changes between the planning CT and CBCT scans. The overlapped area of the auto-mapped contours over 90% to the manually drawn contours is readily achievable. The proposed approach permits us to take advantage of the regional calculation algorithm yet avoiding the nuisance of rectum/bladder filling and provide a useful tool for adaptive radiotherapy of prostate in the future.

Mesh:

Year:  2008        PMID: 18677041     DOI: 10.1088/0031-9155/53/17/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  11 in total

1.  Analysis of deformable image registration accuracy using computational modeling.

Authors:  Hualiang Zhong; Jinkoo Kim; Indrin J Chetty
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

2.  Pelvic multi-organ segmentation on cone-beam CT for prostate adaptive radiotherapy.

Authors:  Yabo Fu; Yang Lei; Tonghe Wang; Sibo Tian; Pretesh Patel; Ashesh B Jani; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2020-05-11       Impact factor: 4.071

3.  A novel approach for establishing benchmark CBCT/CT deformable image registrations in prostate cancer radiotherapy.

Authors:  Jinkoo Kim; Sanath Kumar; Chang Liu; Hualiang Zhong; Deepak Pradhan; Mira Shah; Richard Cattaneo; Raphael Yechieli; Jared R Robbins; Mohamed A Elshaikh; Indrin J Chetty
Journal:  Phys Med Biol       Date:  2013-10-31       Impact factor: 3.609

4.  Joint CT/CBCT deformable registration and CBCT enhancement for cancer radiotherapy.

Authors:  Yifei Lou; Tianye Niu; Xun Jia; Patricio A Vela; Lei Zhu; Allen R Tannenbaum
Journal:  Med Image Anal       Date:  2013-02-04       Impact factor: 8.545

5.  Automatic large quantity landmark pairs detection in 4DCT lung images.

Authors:  Yabo Fu; Xue Wu; Allan M Thomas; Harold H Li; Deshan Yang
Journal:  Med Phys       Date:  2019-08-07       Impact factor: 4.071

6.  Comparison of manual and automatic segmentation methods for brain structures in the presence of space-occupying lesions: a multi-expert study.

Authors:  M A Deeley; A Chen; R Datteri; J H Noble; A J Cmelak; E F Donnelly; A W Malcolm; L Moretti; J Jaboin; K Niermann; Eddy S Yang; David S Yu; F Yei; T Koyama; G X Ding; B M Dawant
Journal:  Phys Med Biol       Date:  2011-07-01       Impact factor: 3.609

7.  Registration accuracy for MR images of the prostate using a subvolume based registration protocol.

Authors:  Joakim H Jonsson; Patrik Brynolfsson; Anders Garpebring; Mikael Karlsson; Karin Söderström; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2011-06-16       Impact factor: 3.481

8.  Technical Note: scuda: A software platform for cumulative dose assessment.

Authors:  Seyoun Park; Todd McNutt; William Plishker; Harry Quon; John Wong; Raj Shekhar; Junghoon Lee
Journal:  Med Phys       Date:  2016-10       Impact factor: 4.071

9.  Validation of deformable registration in head and neck cancer using analysis of variance.

Authors:  A Mencarelli; S van Beek; S van Kranen; C Rasch; M van Herk; J-J Sonke
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

10.  A measure to evaluate deformable registration fields in clinical settings.

Authors:  Eduard Schreibmann; Paul Pantalone; Anthony Waller; Tim Fox
Journal:  J Appl Clin Med Phys       Date:  2012-09-06       Impact factor: 2.102

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