Literature DB >> 19472650

Automated registration of large deformations for adaptive radiation therapy of prostate cancer.

Andrew Godley1, Ergun Ahunbay, Cheng Peng, X Allen Li.   

Abstract

Available deformable registration methods are often inaccurate over large organ variation encountered, for example, in the rectum and bladder. The authors developed a novel approach to accurately and effectively register large deformations in the prostate region for adaptive radiation therapy. A software tool combining a fast symmetric demons algorithm and the use of masks was developed in C++ based on ITK libraries to register CT images acquired at planning and before treatment fractions. The deformation field determined was subsequently used to deform the delivered dose to match the anatomy of the planning CT. The large deformations involved required that the bladder and rectum volume be masked with uniform intensities of -1000 and 1000 HU, respectively, in both the planning and treatment CTs. The tool was tested for five prostate IGRT patients. The average rectum planning to treatment contour overlap improved from 67% to 93%, the lowest initial overlap is 43%. The average bladder overlap improved from 83% to 98%, with a lowest initial overlap of 60%. Registration regions were set to include a volume receiving 4% of the maximum dose. The average region was 320 x 210 x 63, taking approximately 9 min to register on a dual 2.8 GHz Linux system. The prostate and seminal vesicles were correctly placed even though they are not masked. The accumulated doses for multiple fractions with large deformation were computed and verified. The tool developed can effectively supply the previously delivered dose for adaptive planning to correct for interfractional changes.

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Year:  2009        PMID: 19472650     DOI: 10.1118/1.3095777

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  11 in total

1.  Demons deformable registration of CT and cone-beam CT using an iterative intensity matching approach.

Authors:  Sajendra Nithiananthan; Sebastian Schafer; Ali Uneri; Daniel J Mirota; J Webster Stayman; Wojciech Zbijewski; Kristy K Brock; Michael J Daly; Harley Chan; Jonathan C Irish; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

2.  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

3.  An evaluation of techniques for dose calculation on cone beam computed tomography.

Authors:  Valentina Giacometti; Raymond B King; Christina E Agnew; Denise M Irvine; Suneil Jain; Alan R Hounsell; Conor K McGarry
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

4.  Deformable image registration for cone-beam CT guided transoral robotic base-of-tongue surgery.

Authors:  S Reaungamornrat; W P Liu; A S Wang; Y Otake; S Nithiananthan; A Uneri; S Schafer; E Tryggestad; J Richmon; J M Sorger; J H Siewerdsen; R H Taylor
Journal:  Phys Med Biol       Date:  2013-06-27       Impact factor: 3.609

5.  A GPU-based finite-size pencil beam algorithm with 3D-density correction for radiotherapy dose calculation.

Authors:  Xuejun Gu; Urszula Jelen; Jinsheng Li; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2011-05-10       Impact factor: 3.609

6.  Demons deformable registration for CBCT-guided procedures in the head and neck: convergence and accuracy.

Authors:  S Nithiananthan; K K Brock; M J Daly; H Chan; J C Irish; J H Siewerdsen
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

7.  Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy.

Authors:  Xin Zhen; Hao Yan; Linghong Zhou; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2013-10-30       Impact factor: 3.609

8.  Methodology for Registration of Shrinkage Tumors in Head-and-Neck CT Studies.

Authors:  Jianhua Wang; Jianrong Dai; Yongjie Jing; Yanan Huo; Tianye Niu
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

9.  Interactive, multi-modality image registrations for combined MRI/MRSI-planned HDR prostate brachytherapy.

Authors:  Galen Reed; J Adam Cunha; Susan Noworolski; John Kurhanewicz; Daniel Vigneron; I-Chow Hsu; Jean Pouliot
Journal:  J Contemp Brachytherapy       Date:  2011-03-31

10.  Accumulating daily-varied dose distributions of prostate radiation therapy with soft-tissue-based kV CT guidance.

Authors:  Andrew Godley; Ergun Ahunbay; Cheng Peng; X Allen Li
Journal:  J Appl Clin Med Phys       Date:  2012-05-10       Impact factor: 2.102

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