Literature DB >> 25821388

A New CT Prostate Segmentation for CT-Based HDR Brachytherapy.

Xiaofeng Yang1, Peter Rossi1, Tomi Ogunleye1, Ashesh B Jani1, Walter J Curran1, Tian Liu1.   

Abstract

High-dose-rate (HDR) brachytherapy has become a popular treatment modality for localized prostate cancer. Prostate HDR treatment involves placing 10 to 20 catheters (needles) into the prostate gland, and then delivering radiation dose to the cancerous regions through these catheters. These catheters are often inserted with transrectal ultrasound (TRUS) guidance and the HDR treatment plan is based on the CT images. The main challenge for CT-based HDR planning is to accurately segment prostate volume in CT images due to the poor soft tissue contrast and additional artifacts introduced by the catheters. To overcome these limitations, we propose a novel approach to segment the prostate in CT images through TRUS-CT deformable registration based on the catheter locations. In this approach, the HDR catheters are reconstructed from the intra-operative TRUS and planning CT images, and then used as landmarks for the TRUS-CT image registration. The prostate contour generated from the TRUS images captured during the ultrasound-guided HDR procedure was used to segment the prostate on the CT images through deformable registration. We conducted two studies. A prostate-phantom study demonstrated a submillimeter accuracy of our method. A pilot study of 5 prostate-cancer patients was conducted to further test its clinical feasibility. All patients had 3 gold markers implanted in the prostate that were used to evaluate the registration accuracy, as well as previous diagnostic MR images that were used as the gold standard to assess the prostate segmentation. For the 5 patients, the mean gold-marker displacement was 1.2 mm; the prostate volume difference between our approach and the MRI was 7.2%, and the Dice volume overlap was over 91%. Our proposed method could improve prostate delineation, enable accurate dose planning and delivery, and potentially enhance prostate HDR treatment outcome.

Entities:  

Keywords:  CT; HDR; Prostate; brachytherapy; segmentation; transrectal ultrasound (TRUS); ultrasound-guided

Year:  2014        PMID: 25821388      PMCID: PMC4376020          DOI: 10.1117/12.2043695

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  18 in total

1.  Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.

Authors:  Najeeb Chowdhury; Robert Toth; Jonathan Chappelow; Sung Kim; Sabin Motwani; Salman Punekar; Haibo Lin; Stefan Both; Neha Vapiwala; Stephen Hahn; Anant Madabhushi
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

2.  3D Non-rigid Registration Using Surface and Local Salient Features for Transrectal Ultrasound Image-guided Prostate Biopsy.

Authors:  Xiaofeng Yang; Hamed Akbari; Luma Halig; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-01

Review 3.  Ultrasound image segmentation: a survey.

Authors:  J Alison Noble; Djamal Boukerroui
Journal:  IEEE Trans Med Imaging       Date:  2006-08       Impact factor: 10.048

4.  Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method.

Authors:  Yiqiang Zhan; Dinggang Shen
Journal:  IEEE Trans Med Imaging       Date:  2006-03       Impact factor: 10.048

5.  The National Cancer Data base Report on increased use of brachytherapy for the treatment of patients with prostate carcinoma in the U.S.

Authors:  C J Mettlin; G P Murphy; C J McDonald; H R Menck
Journal:  Cancer       Date:  1999-11-01       Impact factor: 6.860

6.  Learning image context for segmentation of the prostate in CT-guided radiotherapy.

Authors:  Wei Li; Shu Liao; Qianjin Feng; Wufan Chen; Dinggang Shen
Journal:  Phys Med Biol       Date:  2012-02-17       Impact factor: 3.609

7.  Automatic 3D Segmentation of Ultrasound Images Using Atlas Registration and Statistical Texture Prior.

Authors:  Xiaofeng Yang; David Schuster; Viraj Master; Peter Nieh; Aaron Fenster; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-01

8.  Comparison of prostate volume measured by transrectal ultrasound and magnetic resonance imaging: is transrectal ultrasound suitable to determine which patients should undergo active surveillance?

Authors:  Brian E Weiss; Alan J Wein; S Bruce Malkowicz; Thomas J Guzzo
Journal:  Urol Oncol       Date:  2012-04-13       Impact factor: 3.498

9.  Transrectal ultrasound versus magnetic resonance imaging in the estimation of prostate volume as compared with radical prostatectomy specimens.

Authors:  Jae Seok Lee; Byung Ha Chung
Journal:  Urol Int       Date:  2007       Impact factor: 2.089

10.  The changing face of low-risk prostate cancer: trends in clinical presentation and primary management.

Authors:  Matthew R Cooperberg; Deborah P Lubeck; Maxwell V Meng; Shilpa S Mehta; Peter R Carroll
Journal:  J Clin Oncol       Date:  2004-06-01       Impact factor: 44.544

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  1 in total

1.  Prostate CT segmentation method based on nonrigid registration in ultrasound-guided CT-based HDR prostate brachytherapy.

Authors:  Xiaofeng Yang; Peter Rossi; Tomi Ogunleye; David M Marcus; Ashesh B Jani; Hui Mao; Walter J Curran; Tian Liu
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

  1 in total

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