Markerless evaluation of lung tumor motion throughout radiotherapy

Weihua Mao, Timothy Solberg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a complete solution to evaluate lung tumor motion from planning CT scan, patient positioning for treatment, to treatment delivery, without the requirement of implanted fiducial markers. Tumor motion is evaluated at three stages of the treatment process. After 4D CT scans for treatment planning, 3D images are reconstructed for 10 phases. Tumors are contoured at one phase. A rigid 3D registration is applied to register the contoured tumor to other phases, so that a tumor motion pattern can be obtained. Tumor motion prior to each treatment is evaluated by locating tumors directly on every raw projection of daily localization CBCT scans. In order to remove the strong signals from under- and over-lying anatomic structures, a novel subtraction procedure is performed using DRRs generated from the planning CT and contours. Finally, tumor motion during treatment is evaluated by analyzing MV treatment beam images. Every frame of image is evaluated in three components, with separate DRRs generated from planning CT: all non-moving structures, the tumor, and other moving structures. The locations of three components are determined though a registration process. This technique has been evaluated in phantom studies, with an overall accuracy within 1 mm. It also has been applied to lung cancer patients undergoing radiotherapy. To quantify the clinical impact, the time in which the tumor excursion exceeded the planning margin was evaluated. This technique is capable of accurately characterizing lung tumor motion on a daily basis, without implanting fiducial markers and without additional imaging dose. It provides daily verification that the tumor range is within prior estimates and covered by the treatment planning volume.

Original languageEnglish (US)
Title of host publicationIFMBE Proceedings
Pages1919-1922
Number of pages4
Volume39 IFMBE
DOIs
StatePublished - 2013
EventWorld Congress on Medical Physics and Biomedical Engineering - Beijing, China
Duration: May 26 2012May 31 2012

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering
CountryChina
CityBeijing
Period5/26/125/31/12

Fingerprint

Radiotherapy
Tumors
Planning
Computerized tomography

Keywords

  • CBCT
  • Lung Cancer
  • MV imaging
  • Radiation Therapy
  • Tumor motion

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Mao, W., & Solberg, T. (2013). Markerless evaluation of lung tumor motion throughout radiotherapy. In IFMBE Proceedings (Vol. 39 IFMBE, pp. 1919-1922) https://doi.org/10.1007/978-3-642-29305-4_505

Markerless evaluation of lung tumor motion throughout radiotherapy. / Mao, Weihua; Solberg, Timothy.

IFMBE Proceedings. Vol. 39 IFMBE 2013. p. 1919-1922.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mao, W & Solberg, T 2013, Markerless evaluation of lung tumor motion throughout radiotherapy. in IFMBE Proceedings. vol. 39 IFMBE, pp. 1919-1922, World Congress on Medical Physics and Biomedical Engineering, Beijing, China, 5/26/12. https://doi.org/10.1007/978-3-642-29305-4_505
Mao W, Solberg T. Markerless evaluation of lung tumor motion throughout radiotherapy. In IFMBE Proceedings. Vol. 39 IFMBE. 2013. p. 1919-1922 https://doi.org/10.1007/978-3-642-29305-4_505
Mao, Weihua ; Solberg, Timothy. / Markerless evaluation of lung tumor motion throughout radiotherapy. IFMBE Proceedings. Vol. 39 IFMBE 2013. pp. 1919-1922
@inproceedings{140f6464a79842c589a82a8387c8f283,
title = "Markerless evaluation of lung tumor motion throughout radiotherapy",
abstract = "We present a complete solution to evaluate lung tumor motion from planning CT scan, patient positioning for treatment, to treatment delivery, without the requirement of implanted fiducial markers. Tumor motion is evaluated at three stages of the treatment process. After 4D CT scans for treatment planning, 3D images are reconstructed for 10 phases. Tumors are contoured at one phase. A rigid 3D registration is applied to register the contoured tumor to other phases, so that a tumor motion pattern can be obtained. Tumor motion prior to each treatment is evaluated by locating tumors directly on every raw projection of daily localization CBCT scans. In order to remove the strong signals from under- and over-lying anatomic structures, a novel subtraction procedure is performed using DRRs generated from the planning CT and contours. Finally, tumor motion during treatment is evaluated by analyzing MV treatment beam images. Every frame of image is evaluated in three components, with separate DRRs generated from planning CT: all non-moving structures, the tumor, and other moving structures. The locations of three components are determined though a registration process. This technique has been evaluated in phantom studies, with an overall accuracy within 1 mm. It also has been applied to lung cancer patients undergoing radiotherapy. To quantify the clinical impact, the time in which the tumor excursion exceeded the planning margin was evaluated. This technique is capable of accurately characterizing lung tumor motion on a daily basis, without implanting fiducial markers and without additional imaging dose. It provides daily verification that the tumor range is within prior estimates and covered by the treatment planning volume.",
keywords = "CBCT, Lung Cancer, MV imaging, Radiation Therapy, Tumor motion",
author = "Weihua Mao and Timothy Solberg",
year = "2013",
doi = "10.1007/978-3-642-29305-4_505",
language = "English (US)",
isbn = "9783642293047",
volume = "39 IFMBE",
pages = "1919--1922",
booktitle = "IFMBE Proceedings",

}

TY - GEN

T1 - Markerless evaluation of lung tumor motion throughout radiotherapy

AU - Mao, Weihua

AU - Solberg, Timothy

PY - 2013

Y1 - 2013

N2 - We present a complete solution to evaluate lung tumor motion from planning CT scan, patient positioning for treatment, to treatment delivery, without the requirement of implanted fiducial markers. Tumor motion is evaluated at three stages of the treatment process. After 4D CT scans for treatment planning, 3D images are reconstructed for 10 phases. Tumors are contoured at one phase. A rigid 3D registration is applied to register the contoured tumor to other phases, so that a tumor motion pattern can be obtained. Tumor motion prior to each treatment is evaluated by locating tumors directly on every raw projection of daily localization CBCT scans. In order to remove the strong signals from under- and over-lying anatomic structures, a novel subtraction procedure is performed using DRRs generated from the planning CT and contours. Finally, tumor motion during treatment is evaluated by analyzing MV treatment beam images. Every frame of image is evaluated in three components, with separate DRRs generated from planning CT: all non-moving structures, the tumor, and other moving structures. The locations of three components are determined though a registration process. This technique has been evaluated in phantom studies, with an overall accuracy within 1 mm. It also has been applied to lung cancer patients undergoing radiotherapy. To quantify the clinical impact, the time in which the tumor excursion exceeded the planning margin was evaluated. This technique is capable of accurately characterizing lung tumor motion on a daily basis, without implanting fiducial markers and without additional imaging dose. It provides daily verification that the tumor range is within prior estimates and covered by the treatment planning volume.

AB - We present a complete solution to evaluate lung tumor motion from planning CT scan, patient positioning for treatment, to treatment delivery, without the requirement of implanted fiducial markers. Tumor motion is evaluated at three stages of the treatment process. After 4D CT scans for treatment planning, 3D images are reconstructed for 10 phases. Tumors are contoured at one phase. A rigid 3D registration is applied to register the contoured tumor to other phases, so that a tumor motion pattern can be obtained. Tumor motion prior to each treatment is evaluated by locating tumors directly on every raw projection of daily localization CBCT scans. In order to remove the strong signals from under- and over-lying anatomic structures, a novel subtraction procedure is performed using DRRs generated from the planning CT and contours. Finally, tumor motion during treatment is evaluated by analyzing MV treatment beam images. Every frame of image is evaluated in three components, with separate DRRs generated from planning CT: all non-moving structures, the tumor, and other moving structures. The locations of three components are determined though a registration process. This technique has been evaluated in phantom studies, with an overall accuracy within 1 mm. It also has been applied to lung cancer patients undergoing radiotherapy. To quantify the clinical impact, the time in which the tumor excursion exceeded the planning margin was evaluated. This technique is capable of accurately characterizing lung tumor motion on a daily basis, without implanting fiducial markers and without additional imaging dose. It provides daily verification that the tumor range is within prior estimates and covered by the treatment planning volume.

KW - CBCT

KW - Lung Cancer

KW - MV imaging

KW - Radiation Therapy

KW - Tumor motion

UR - http://www.scopus.com/inward/record.url?scp=84876044862&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84876044862&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-29305-4_505

DO - 10.1007/978-3-642-29305-4_505

M3 - Conference contribution

AN - SCOPUS:84876044862

SN - 9783642293047

VL - 39 IFMBE

SP - 1919

EP - 1922

BT - IFMBE Proceedings

ER -