DocumentCode :
1472875
Title :
Noninvasive estimation of the aorta input function for measurement of tumor blood flow with [/sup 15/O] water
Author :
Watabe, Hiroshi ; Channing, Michael A. ; Riddell, Cyril ; Jousse, Frederic ; Libutti, Steven K. ; Carrasquillo, Jorge A. ; Bacharach, Stephen L. ; Carson, Richard E.
Author_Institution :
Dept. of Investigative Radiol., Nat. Cardiovascular Center Res. Inst., Osaka, Japan
Volume :
20
Issue :
3
fYear :
2001
fDate :
3/1/2001 12:00:00 AM
Firstpage :
164
Lastpage :
174
Abstract :
Quantitative measurement of tumor blood flow with [ 15O] water can be used to evaluate the effects of tumor treatment over time. Since quantitative flow measurements require an input function, we developed the profile fitting method (PFM) to measure the input function from positron emission tomography images of the aorta. First, a [ 11C] CO scan was acquired and the aorta region was analyzed. The aorta diameter was determined by fitting the image data with a model that includes scanner resolution, the measured venous blood radioactivity concentration, and the spillover of counts from the background. The diameter was used in subsequent fitting of [ 15O] water dynamic images to estimate the aorta and background radioactivity concentrations. Phantom experiments were performed to test the model. Image quantification biases (up to 15%) were found for small objects, particularly for those in a large elliptical phantom. However, the bias in the PFM concentration estimates was much smaller (2%-6%). A simulation study showed that PFM had less bias and/or variability in flow parameter estimates than an ROT method. PFM was applied to human [ 11C] CO and [ 15O] water dynamic studies with left ventricle input functions used as the gold standard. PFM parameter estimates had higher variability than found in the simulation but with minimal bias. These studies suggest that PFM is a promising technique for the noninvasive measurement of the aorta [ 15O] water input function.
Keywords :
blood flow measurement; blood vessels; medical image processing; patient monitoring; positron emission tomography; tumours; CO; H/sub 2/O; [/sup 11/C] CO scan; [/sup 15/O] water; [/sup 15/O] water dynamic studies; aorta diameter; aorta input function; aorta region; background radioactivity concentrations; count spillover; flow parameter estimates; gold standard; human [/sup 11/C] CO; image data; image quantification biases; input function; large elliptical phantom; left ventricle input functions; noninvasive estimation; phantom experiments; positron emission tomography images; profile fitting method; quantitative measurement; scanner resolution; simulation study; tumor blood flow measurement; tumor treatment; venous blood radioactivity concentration; Biomedical imaging; Blood flow; Fluid flow measurement; Image resolution; Imaging phantoms; Neoplasms; Parameter estimation; Performance evaluation; Positron emission tomography; Time measurement; Aorta; Humans; Image Processing, Computer-Assisted; Neoplasms; Oxygen Radioisotopes; Phantoms, Imaging; Tomography, Emission-Computed; Water;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.918468
Filename :
918468
Link To Document :
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