Literature DB >> 17202620

Evaluation of the reproducibility of lung motion probability distribution function (PDF) using dynamic MRI.

Jing Cai1, Paul W Read, Talissa A Altes, Janelle A Molloy, James R Brookeman, Ke Sheng.   

Abstract

Treatment planning based on probability distribution function (PDF) of patient geometries has been shown a potential off-line strategy to incorporate organ motion, but the application of such approach highly depends upon the reproducibility of the PDF. In this paper, we investigated the dependences of the PDF reproducibility on the imaging acquisition parameters, specifically the scan time and the frame rate. Three healthy subjects underwent a continuous 5 min magnetic resonance (MR) scan in the sagittal plane with a frame rate of approximately 10 f s-1, and the experiments were repeated with an interval of 2 to 3 weeks. A total of nine pulmonary vessels from different lung regions (upper, middle and lower) were tracked and the dependences of their displacement PDF reproducibility were evaluated as a function of scan time and frame rate. As results, the PDF reproducibility error decreased with prolonged scans and appeared to approach equilibrium state in subjects 2 and 3 within the 5 min scan. The PDF accuracy increased in the power function with the increase of frame rate; however, the PDF reproducibility showed less sensitivity to frame rate presumably due to the randomness of breathing which dominates the effects. As the key component of the PDF-based treatment planning, the reproducibility of the PDF affects the dosimetric accuracy substantially. This study provides a reference for acquiring MR-based PDF of structures in the lung.

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Year:  2006        PMID: 17202620     DOI: 10.1088/0031-9155/52/2/004

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


  17 in total

1.  Four-dimensional magnetic resonance imaging (4D-MRI) using image-based respiratory surrogate: a feasibility study.

Authors:  Jing Cai; Zheng Chang; Zhiheng Wang; William Paul Segars; Fang-Fang Yin
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  Characterizing spatiotemporal information loss in sparse-sampling-based dynamic MRI for monitoring respiration-induced tumor motion in radiotherapy.

Authors:  Tatsuya J Arai; Joris Nofiele; Ananth J Madhuranthakam; Qing Yuan; Ivan Pedrosa; Rajiv Chopra; Amit Sawant
Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

3.  Lung dynamic MRI deblurring using low-rank decomposition and dictionary learning.

Authors:  Shuiping Gou; Yueyue Wang; Jiaolong Wu; Percy Lee; Ke Sheng
Journal:  Med Phys       Date:  2015-04       Impact factor: 4.071

4.  Accelerating dynamic magnetic resonance imaging (MRI) for lung tumor tracking based on low-rank decomposition in the spatial-temporal domain: a feasibility study based on simulation and preliminary prospective undersampled MRI.

Authors:  Manoj Sarma; Peng Hu; Stanislas Rapacchi; Daniel Ennis; Albert Thomas; Percy Lee; Patrick Kupelian; Ke Sheng
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-01-09       Impact factor: 7.038

5.  Initial clinical observations of intra- and interfractional motion variation in MR-guided lung SBRT.

Authors:  David H Thomas; Anand Santhanam; Amar U Kishan; Minsong Cao; James Lamb; Yugang Min; Dylan O'Connell; Yingli Yang; Nzhde Agazaryan; Percy Lee; Daniel Low
Journal:  Br J Radiol       Date:  2018-01-22       Impact factor: 3.039

6.  Evaluation of motion measurement using cine MRI for image guided stereotactic body radiotherapy on a new phantom platform.

Authors:  Zheng Chang; Jing Cai; Ziheng Wang; Fang-Fang Yin
Journal:  J Radiosurg SBRT       Date:  2011

7.  Evaluation of template matching for tumor motion management with cine-MR images in lung cancer patients.

Authors:  Xiutao Shi; Tejan Diwanji; Karen E Mooney; Jolinta Lin; Steven Feigenberg; Warren D D'Souza; Nilesh N Mistry
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

8.  A probability-based multi-cycle sorting method for 4D-MRI: A simulation study.

Authors:  Xiao Liang; Fang-Fang Yin; Yilin Liu; Jing Cai
Journal:  Med Phys       Date:  2016-12       Impact factor: 4.071

9.  Retrospective four-dimensional magnetic resonance imaging with image-based respiratory surrogate: a sagittal-coronal-diaphragm point of intersection motion tracking method.

Authors:  Yilin Liu; Fang-Fang Yin; Brian G Czito; Mustafa R Bashir; Manisha Palta; Jing Cai
Journal:  J Med Imaging (Bellingham)       Date:  2017-06-19

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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