Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm

Abstract Background Tumor motion may compromise the accuracy of liver stereotactic radiotherapy. In order to carry out a precise planning, estimating liver tumor motion during radiotherapy has received a lot of attention. Previous approach may have difficult to deal with image data corrupted by nois...

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Main Authors: Wu-zhou Li, Zhi-wen Liang, Yi Cao, Ting-ting Cao, Hong Quan, Zhi-yong Yang, Qin Li, Zhi-tao Dai
Format: Article
Language:English
Published: BMC 2019-10-01
Series:Radiation Oncology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13014-019-1401-2
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spelling doaj-f9c4b17476814a39b73c000fa43882042020-11-25T03:58:31ZengBMCRadiation Oncology1748-717X2019-10-011411810.1186/s13014-019-1401-2Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithmWu-zhou Li0Zhi-wen Liang1Yi Cao2Ting-ting Cao3Hong Quan4Zhi-yong Yang5Qin Li6Zhi-tao Dai7School of Physics and Technology, Wuhan UniversityCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologySchool of Physics and Technology, Wuhan UniversitySchool of Physics and Technology, Wuhan UniversitySchool of Physics and Technology, Wuhan UniversityCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologySchool of Physics and Technology, Wuhan UniversityAbstract Background Tumor motion may compromise the accuracy of liver stereotactic radiotherapy. In order to carry out a precise planning, estimating liver tumor motion during radiotherapy has received a lot of attention. Previous approach may have difficult to deal with image data corrupted by noise. The iterative closest point (ICP) algorithm is widely used for estimating the rigid registration of three-dimensional point sets when these data were dense or corrupted. In the light of this, our study estimated the three-dimensional (3D) rigid motion of liver tumors during stereotactic liver radiotherapy using reconstructed 3D coordinates of fiducials based on the ICP algorithm. Methods Four hundred ninety-five pairs of orthogonal kilovoltage (KV) images from the CyberKnife stereo imaging system for 12 patients were used in this study. For each pair of images, the 3D coordinates of fiducial markers inside the liver were calculated via geometric derivations. The 3D coordinates were used to calculate the real-time translational and rotational motion of liver tumors around three axes via an ICP algorithm. The residual error was also investigated both with and without rotational correction. Results The translational shifts of liver tumors in left-right (LR), anterior-posterior (AP),and superior-inferior (SI) directions were 2.92 ± 1.98 mm, 5.54 ± 3.12 mm, and 16.22 ± 5.86 mm, respectively; the rotational angles in left-right (LR), anterior-posterior (AP), and superior-inferior (SI) directions were 3.95° ± 3.08°, 4.93° ± 2.90°, and 4.09° ± 1.99°, respectively. Rotational correction decreased 3D fiducial displacement from 1.19 ± 0.35 mm to 0.65 ± 0.24 mm (P<0.001). Conclusions The maximum translational movement occurred in the SI direction. Rotational correction decreased fiducial displacements and increased tumor tracking accuracy.http://link.springer.com/article/10.1186/s13014-019-1401-2CyberKnifeFiducial trackingSBRTICP algorithmTumor movement
collection DOAJ
language English
format Article
sources DOAJ
author Wu-zhou Li
Zhi-wen Liang
Yi Cao
Ting-ting Cao
Hong Quan
Zhi-yong Yang
Qin Li
Zhi-tao Dai
spellingShingle Wu-zhou Li
Zhi-wen Liang
Yi Cao
Ting-ting Cao
Hong Quan
Zhi-yong Yang
Qin Li
Zhi-tao Dai
Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm
Radiation Oncology
CyberKnife
Fiducial tracking
SBRT
ICP algorithm
Tumor movement
author_facet Wu-zhou Li
Zhi-wen Liang
Yi Cao
Ting-ting Cao
Hong Quan
Zhi-yong Yang
Qin Li
Zhi-tao Dai
author_sort Wu-zhou Li
title Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm
title_short Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm
title_full Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm
title_fullStr Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm
title_full_unstemmed Estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (ICP) algorithm
title_sort estimating intrafraction tumor motion during fiducial-based liver stereotactic radiotherapy via an iterative closest point (icp) algorithm
publisher BMC
series Radiation Oncology
issn 1748-717X
publishDate 2019-10-01
description Abstract Background Tumor motion may compromise the accuracy of liver stereotactic radiotherapy. In order to carry out a precise planning, estimating liver tumor motion during radiotherapy has received a lot of attention. Previous approach may have difficult to deal with image data corrupted by noise. The iterative closest point (ICP) algorithm is widely used for estimating the rigid registration of three-dimensional point sets when these data were dense or corrupted. In the light of this, our study estimated the three-dimensional (3D) rigid motion of liver tumors during stereotactic liver radiotherapy using reconstructed 3D coordinates of fiducials based on the ICP algorithm. Methods Four hundred ninety-five pairs of orthogonal kilovoltage (KV) images from the CyberKnife stereo imaging system for 12 patients were used in this study. For each pair of images, the 3D coordinates of fiducial markers inside the liver were calculated via geometric derivations. The 3D coordinates were used to calculate the real-time translational and rotational motion of liver tumors around three axes via an ICP algorithm. The residual error was also investigated both with and without rotational correction. Results The translational shifts of liver tumors in left-right (LR), anterior-posterior (AP),and superior-inferior (SI) directions were 2.92 ± 1.98 mm, 5.54 ± 3.12 mm, and 16.22 ± 5.86 mm, respectively; the rotational angles in left-right (LR), anterior-posterior (AP), and superior-inferior (SI) directions were 3.95° ± 3.08°, 4.93° ± 2.90°, and 4.09° ± 1.99°, respectively. Rotational correction decreased 3D fiducial displacement from 1.19 ± 0.35 mm to 0.65 ± 0.24 mm (P<0.001). Conclusions The maximum translational movement occurred in the SI direction. Rotational correction decreased fiducial displacements and increased tumor tracking accuracy.
topic CyberKnife
Fiducial tracking
SBRT
ICP algorithm
Tumor movement
url http://link.springer.com/article/10.1186/s13014-019-1401-2
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