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Proceedings Paper

Strain as a novel index of regional pulmonary function from thoracic 4D CT images: in-vivo validation with tomographic SPECT ventilation and perfusion
Author(s): Mohammadreza Negahdar; Neal Dunlap; Albert Zacarias; A. Cahid Civelek; Shiao Y. Woo; Amir A. Amini
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Paper Abstract

Since many diseases or injuries can cause biomechanical or structural property changes that can alter lung function, there is great interest in measuring regional lung function by measurement of regional mechanical changes. To date, the most prevalent approach for assessing regional lung function from 4-D X-ray CT data has been a measure of Jacobian of deformation. However, although the Jacobian describes regional volume changes of the lung during deformation, it lacks any consideration of directional changes of local compressions and expansions during respiration. Herein, we propose the use of strain as a measure of regional lung function from 4-D thoracic CT and we perform correlation of principal strains of calculated deformation by s recently proposed 3-D optical flow technique (MOFID) computed from radiotherapy treatment planning 4-D X-ray CT data sets collected in seven subjects suffering from non-small cell primary lung cancer. In addition to 4-D CT data, both SPECT ventilation (VSPECT), and SPECT perfusion (QSPECT) data were acquired in all subjects. For each subject, we performed voxel-wise statistical correlation of the Jacobian as well as principal strains of deformation (CT-derived pulmonary function images) with both ventilation and perfusion SPECT. For all subjects, the maximum principal strain resulted in a higher correlation with both SPECT ventilation and SPECT perfusion than other indices including the previously established Jacobian metric.

Paper Details

Date Published: 29 March 2013
PDF: 7 pages
Proc. SPIE 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, 867213 (29 March 2013); doi: 10.1117/12.2009734
Show Author Affiliations
Mohammadreza Negahdar, Stanford Univ. School of Medicine (United States)
Neal Dunlap, Univ. of Louisville (United States)
Albert Zacarias, Univ. of Louisville (United States)
A. Cahid Civelek, Univ. of Louisville (United States)
Shiao Y. Woo, Univ. of Louisville (United States)
Amir A. Amini, Univ. of Louisville (United States)


Published in SPIE Proceedings Vol. 8672:
Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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