Literature DB >> 19636080

Obtaining breathing patterns from any sequential thoracic x-ray image set.

Anthony Kavanagh1, Philip M Evans, Vibeke N Hansen, Steve Webb.   

Abstract

A technique is presented to allow a breathing pattern to be obtained from any multi-slice CT, cone-beam or other series of sequential chest x-ray image sets. The technique requires no extra signals to be recorded and does not need specific external or internal oscillating structures to be visible in the field of view. The breathing pattern is instead acquired from analysing the variation in pixel values between projection images. For cone-beam image sets, slowly varying changes, due to an angular attenuation dependence, must be corrected before the breathing trace analysis can begin. All the results of the new technique were checked visually and were in good agreement. If the studied image set could be analysed using the existing 'Amsterdam shroud' technique, then the results it provided were also used for comparison. In cases that allowed comparison by both techniques, the results were in agreement. The new technique was also shown to provide a usable signal when applied to cardiac motion.

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Year:  2009        PMID: 19636080     DOI: 10.1088/0031-9155/54/16/003

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


  19 in total

1.  In-treatment 4D cone-beam CT with image-based respiratory phase recognition.

Authors:  Satoshi Kida; Yoshitaka Masutani; Hideomi Yamashita; Toshikazu Imae; Taeko Matsuura; Naoya Saotome; Kuni Ohtomo; Keiichi Nakagawa; Akihiro Haga
Journal:  Radiol Phys Technol       Date:  2012-02-25

2.  A novel technique for markerless, self-sorted 4D-CBCT: feasibility study.

Authors:  Irina Vergalasova; Jing Cai; Fang-Fang Yin
Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

3.  Evaluation of intrinsic respiratory signal determination methods for 4D CBCT adapted for mice.

Authors:  Rachael Martin; Ashley Rubinstein; Moiz Ahmad; Laurence Court; Tinsu Pan
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

4.  Improving thoracic four-dimensional cone-beam CT reconstruction with anatomical-adaptive image regularization (AAIR).

Authors:  Chun-Chien Shieh; John Kipritidis; Ricky T O'Brien; Benjamin J Cooper; Zdenka Kuncic; Paul J Keall
Journal:  Phys Med Biol       Date:  2015-01-07       Impact factor: 3.609

5.  Image quality in thoracic 4D cone-beam CT: a sensitivity analysis of respiratory signal, binning method, reconstruction algorithm, and projection angular spacing.

Authors:  Chun-Chien Shieh; John Kipritidis; Ricky T O'Brien; Zdenka Kuncic; Paul J Keall
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

6.  A Bayesian approach for three-dimensional markerless tumor tracking using kV imaging during lung radiotherapy.

Authors:  Chun-Chien Shieh; Vincent Caillet; Michelle Dunbar; Paul J Keall; Jeremy T Booth; Nicholas Hardcastle; Carol Haddad; Thomas Eade; Ilana Feain
Journal:  Phys Med Biol       Date:  2017-03-21       Impact factor: 3.609

7.  A Novel Method of Cone Beam CT Projection Binning Based on Image Registration.

Authors:  Seonyeong Park; Siyong Kim; Byongyong Yi; Geoffrey Hugo; H Michael Gach; Yuichi Motai
Journal:  IEEE Trans Med Imaging       Date:  2017-03-31       Impact factor: 10.048

8.  Comparison of FBP and Iterative Algorithms with Non-Uniform Angular Sampling.

Authors:  Gengsheng L Zeng
Journal:  IEEE Trans Nucl Sci       Date:  2015-02       Impact factor: 1.679

9.  Extracting respiratory signals from thoracic cone beam CT projections.

Authors:  Hao Yan; Xiaoyu Wang; Wotao Yin; Tinsu Pan; Moiz Ahmad; Xuanqin Mou; Laura Cerviño; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2013-02-11       Impact factor: 3.609

10.  Evaluation of the effect of respiratory and anatomical variables on a Fourier technique for markerless, self-sorted 4D-CBCT.

Authors:  I Vergalasova; J Cai; W Giles; W P Segars; F F Yin
Journal:  Phys Med Biol       Date:  2013-09-24       Impact factor: 3.609

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