Literature DB >> 24240537

Real-time estimation of prostate tumor rotation and translation with a kV imaging system based on an iterative closest point algorithm.

Joubin Nasehi Tehrani1, Ricky T O'Brien, Per Rugaard Poulsen, Paul Keall.   

Abstract

Previous studies have shown that during cancer radiotherapy a small translation or rotation of the tumor can lead to errors in dose delivery. Current best practice in radiotherapy accounts for tumor translations, but is unable to address rotation due to a lack of a reliable real-time estimate. We have developed a method based on the iterative closest point (ICP) algorithm that can compute rotation from kilovoltage x-ray images acquired during radiation treatment delivery. A total of 11 748 kilovoltage (kV) images acquired from ten patients (one fraction for each patient) were used to evaluate our tumor rotation algorithm. For each kV image, the three dimensional coordinates of three fiducial markers inside the prostate were calculated. The three dimensional coordinates were used as input to the ICP algorithm to calculate the real-time tumor rotation and translation around three axes. The results show that the root mean square error was improved for real-time calculation of tumor displacement from a mean of 0.97 mm with the stand alone translation to a mean of 0.16 mm by adding real-time rotation and translation displacement with the ICP algorithm. The standard deviation (SD) of rotation for the ten patients was 2.3°, 0.89° and 0.72° for rotation around the right-left (RL), anterior-posterior (AP) and superior-inferior (SI) directions respectively. The correlation between all six degrees of freedom showed that the highest correlation belonged to the AP and SI translation with a correlation of 0.67. The second highest correlation in our study was between the rotation around RL and rotation around AP, with a correlation of -0.33. Our real-time algorithm for calculation of rotation also confirms previous studies that have shown the maximum SD belongs to AP translation and rotation around RL. ICP is a reliable and fast algorithm for estimating real-time tumor rotation which could create a pathway to investigational clinical treatment studies requiring real-time measurement and adaptation to tumor rotation.

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Year:  2013        PMID: 24240537     DOI: 10.1088/0031-9155/58/23/8517

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


  11 in total

1.  Spatial and rotational quality assurance of 6DOF patient tracking systems.

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Authors:  Paul J Keall; Doan Trang Nguyen; Ricky O'Brien; Pengpeng Zhang; Laura Happersett; Jenny Bertholet; Per R Poulsen
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3.  A conceptual study on real-time adaptive radiation therapy optimization through ultra-fast beamlet control.

Authors:  Rodney D Wiersma; Xinmin Liu
Journal:  Biomed Phys Eng Express       Date:  2019-08-30

4.  A method to reconstruct intra-fractional liver motion in rotational radiotherapy using linear fiducial markers.

Authors:  Yujie Chi; Chenyang Shen; Bin Li; You Zhang; Ming Yang; Michael Folkert; Xun Jia
Journal:  Phys Med Biol       Date:  2019-11-21       Impact factor: 3.609

5.  A new method to reconstruct intra-fractional prostate motion in volumetric modulated arc therapy.

Authors:  Y Chi; N H Rezaeian; C Shen; Y Zhou; W Lu; M Yang; R Hannan; X Jia
Journal:  Phys Med Biol       Date:  2017-07-07       Impact factor: 3.609

6.  Development of a 6DOF robotic motion phantom for radiation therapy.

Authors:  Andrew H Belcher; Xinmin Liu; Zachary Grelewicz; Erik Pearson; Rodney D Wiersma
Journal:  Med Phys       Date:  2014-12       Impact factor: 4.071

7.  Design and implementation of a surgical planning system for robotic assisted mandible reconstruction with fibula free flap.

Authors:  Yan Guo; Wangjie Xu; Puxun Tu; Jing Han; Chenping Zhang; Jiannan Liu; Xiaojun Chen
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-09-27       Impact factor: 3.421

8.  Geographical miss of the prostate during image-guided radiotherapy with a 6-mm posterior expansion margin.

Authors:  Richard Oates; Daryl Jones; Farshad Foroudi; Suki Gill; Prabhakar Ramachandran; Michal Schneider; Michael Lim Joon; Tomas Kron
Journal:  J Med Radiat Sci       Date:  2016-11-08

9.  Positioning error and expanding margins of planning target volume with kilovoltage cone beam computed tomography for prostate cancer radiotherapy.

Authors:  Gang Wang; Wen-Ling Wang; Yi-Qun Liu; Hong-Min Dong; Yin-Xiang Hu
Journal:  Onco Targets Ther       Date:  2018-04-06       Impact factor: 4.147

10.  Quantification of the margin required for treating intraprostatic lesions.

Authors:  Matthew T Studenski; Yanisley Valenciaga; Matthew C Abramowitz; Radka Stoyanova; Elizabeth Bossart; Nesrin Dogan; Alan Pollack
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

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