Share Email Print
cover

Proceedings Paper

Measuring blood delivery to solitary pulmonary nodules using perfusion magnetic resonance imaging
Author(s): Wei Zheng; Zhifeng Wang; Li Shen; Ling Gao; James C. Ford; Fillia S. Makedon; Justin D. Pearlman
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

With perfusion magnetic resonance imaging (pMRI), perfusion describes the amount of blood passing through a block of tissue in a certain period of time. In pMRI, the tissue having more blood passing through will show higher intensity value as more contrast-labeled blood arrives. Perfusion reflects the delivery of essential nutrients to a block of tissue, and is an important parameter for the tissue status. Considering solitary pulmonary nodules (SPN), perfusion differences between malignant and benign nodules have been studied by different techniques. Much effort has been put into its characterization. In this paper, we proposed and implemented extraction of the SPN time intensity profile to measure blood delivery to solitary pulmonary nodules, describing their perfusion effects. In this method, a SPN time intensity profile is created based on intensity values of the solitary pulmonary nodule in lung pMRI images over time. This method has two steps: nodule tracking and profile clustering. Nodule tracking aligns the solitary pulmonary nodule in pMRI images taken at different time points, dealing with nodule movement resulted from breathing and body movement. Profile clustering implements segmentation of the nodule region and extraction of the time intensity profile of a solitary pulmonary nodule. SPN time intensity profiles reflect patterns of blood delivery to solitary pulmonary nodules, giving us a description of perfusion effect and indirect evidence of tumor angiogenesis. Analysis on SPN time intensity profiles will help the diagnosis of malignant nodules for early lung cancer detection.

Paper Details

Date Published: 13 March 2006
PDF: 9 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 614332 (13 March 2006); doi: 10.1117/12.652866
Show Author Affiliations
Wei Zheng, Dartmouth College (United States)
Zhifeng Wang, Dartmouth College (United States)
Li Shen, Univ. of Massachusetts, Dartmouth (United States)
Ling Gao, Dartmouth-Hitchcock Medical Ctr. (United States)
James C. Ford, Dartmouth College (United States)
Dartmouth-Hitchcock Medical Ctr. (United States)
Fillia S. Makedon, Dartmouth College (United States)
Dartmouth-Hitchcock Medical Ctr. (United States)
Justin D. Pearlman, Dartmouth College (United States)
Dartmouth-Hitchcock Medical Ctr. (United States)
Dartmouth Medical School (United States)


Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

© SPIE. Terms of Use
Back to Top