Literature DB >> 21839991

Contour based respiratory motion analysis for free breathing CT.

Justus Adamson1, Tingliang Zhuang, Fang-Fang Yin.   

Abstract

We propose a method to quantify superior-inferior (SI) motion of a rigid target using the 3D contour from free-breathing CT (FBCT). The technique utilizes similarity between 2D contours (Jaccard Index) and a population based density function for probability of motion amplitude, and is applicable both when the static target shape is and is not known beforehand. Simulations and phantom measurements showed that motion reconstruction is often feasible, with decreasing accuracy as discrepancy is introduced between assumed and actual static shape. When no static shape is used the analysis is most robust for slow scanning speeds relative to the motion period.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21839991     DOI: 10.1016/j.compbiomed.2011.08.002

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  A comparative study of automatic image segmentation algorithms for target tracking in MR-IGRT.

Authors:  Yuan Feng; Iwan Kawrakow; Jeff Olsen; Parag J Parikh; Camille Noel; Omar Wooten; Dongsu Du; Sasa Mutic; Yanle Hu
Journal:  J Appl Clin Med Phys       Date:  2016-03       Impact factor: 2.102

2.  A comparison of the different 3D CT scanning modes on the GTV delineation for the solitary pulmonary lesion.

Authors:  Dong-ping Shang; Cheng-xin Liu; Yong Yin
Journal:  Radiat Oncol       Date:  2014-11-12       Impact factor: 3.481

3.  A comparative study of automatic image segmentation algorithms for target tracking in MR-IGRT.

Authors:  Yuan Feng; Iwan Kawrakow; Jeff Olsen; Parag J Parikh; Camille Noel; Omar Wooten; Dongsu Du; Sasa Mutic; Yanle Hu
Journal:  J Appl Clin Med Phys       Date:  2016-03-08       Impact factor: 2.102

  3 in total

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