Literature DB >> 26294654

A Feasibility Study of Tumor Motion Estimate With Regional Deformable Registration Method for 4-Dimensional Radiation Therapy of Lung Cancer.

Ming Chao1, Yading Yuan2, Ren-Dih Sheu2, Kelin Wang3, Kenneth E Rosenzweig2, Yeh-Chi Lo2.   

Abstract

This study aims to employ 4-dimensional computed tomography to quantify intrafractional tumor motion for patients with lung cancer to improve target localization in radiation therapy. A multistage regional deformable registration was implemented to calculate the excursion of gross tumor volume (GTV) during a breathing cycle. GTV was initially delineated on 0% phase of 4-dimensional computed tomography manually, and a subregion with 20 mm margin supplemented to GTV was generated with Eclipse treatment planning system (Varian Medical Systems, Palo Alto, California). The structures, together with the 4-dimensional computed tomography set, were exported into an in-house software, with which a 3-stage B-spline deformable registration was carried out to map the subregion and warp GTV contour to other breathing phases. The center of mass of the GTV was computed using the contours, and the tumor motion was appraised as the excursion of the center of mass between 0% phase and other phases. Application of the algorithm to the 10 patients showed that clinically satisfactory outcomes were achievable with a spatial accuracy around 2 mm for GTV contour propagation between adjacent phases and 3 mm between opposite phases. The tumor excursion was determined in the vast range of 1 mm through 1.6 cm, depending on the tumor location and tumor size. Compared to the traditional whole image-based registration, the regional method was found computationally a factor of 5 more efficient. The proposed technique has demonstrated its capability in extracting thoracic tumor motion and should find its application in 4-dimensional radiation therapy in the future to maximally utilize the available spatial-temporal information.
© The Author(s) 2015.

Entities:  

Keywords:  4-dimensional computed tomography; deformable image registration; radiation therapy; tumor motion

Mesh:

Year:  2015        PMID: 26294654     DOI: 10.1177/1533034615600569

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  2 in total

1.  A constrained linear regression optimization algorithm for diaphragm motion tracking with cone beam CT projections.

Authors:  Jie Wei; Ming Chao
Journal:  Phys Med       Date:  2018-01-11       Impact factor: 2.685

2.  Robust breathing signal extraction from cone beam CT projections based on adaptive and global optimization techniques.

Authors:  Ming Chao; Jie Wei; Tianfang Li; Yading Yuan; Kenneth E Rosenzweig; Yeh-Chi Lo
Journal:  Phys Med Biol       Date:  2016-03-23       Impact factor: 3.609

  2 in total

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