Noninvasive estimation of the aorta input function for measurement of tumor blood flow with [15O]water

Hiroshi Watabe, Michael A. Channing, Cyril Riddell, Frederic Jousse, Steven K. Libutti, Jorge A. Carrasquillo, Stephen L. Bacharach, Richard E. Carson

Research output: Contribution to journalArticle

26 Citations (Scopus)

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 ROI 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.

Original languageEnglish (US)
Pages (from-to)164-174
Number of pages11
JournalIEEE Transactions on Medical Imaging
Volume20
Issue number3
DOIs
StatePublished - Mar 2001
Externally publishedYes

Fingerprint

Aorta
Tumors
Blood
Water
Radioactivity
Neoplasms
Positron emission tomography
Carbon Monoxide
Flow measurement
Positron-Emission Tomography
Heart Ventricles
Experiments

Keywords

  • [O]water
  • Aorta
  • Input function
  • Tumor blood flow

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Watabe, H., Channing, M. A., Riddell, C., Jousse, F., Libutti, S. K., Carrasquillo, J. A., ... Carson, R. E. (2001). Noninvasive estimation of the aorta input function for measurement of tumor blood flow with [15O]water. IEEE Transactions on Medical Imaging, 20(3), 164-174. https://doi.org/10.1109/42.918468

Noninvasive estimation of the aorta input function for measurement of tumor blood flow with [15O]water. / Watabe, Hiroshi; Channing, Michael A.; Riddell, Cyril; Jousse, Frederic; Libutti, Steven K.; Carrasquillo, Jorge A.; Bacharach, Stephen L.; Carson, Richard E.

In: IEEE Transactions on Medical Imaging, Vol. 20, No. 3, 03.2001, p. 164-174.

Research output: Contribution to journalArticle

Watabe, H, Channing, MA, Riddell, C, Jousse, F, Libutti, SK, Carrasquillo, JA, Bacharach, SL & Carson, RE 2001, 'Noninvasive estimation of the aorta input function for measurement of tumor blood flow with [15O]water', IEEE Transactions on Medical Imaging, vol. 20, no. 3, pp. 164-174. https://doi.org/10.1109/42.918468
Watabe, Hiroshi ; Channing, Michael A. ; Riddell, Cyril ; Jousse, Frederic ; Libutti, Steven K. ; Carrasquillo, Jorge A. ; Bacharach, Stephen L. ; Carson, Richard E. / Noninvasive estimation of the aorta input function for measurement of tumor blood flow with [15O]water. In: IEEE Transactions on Medical Imaging. 2001 ; Vol. 20, No. 3. pp. 164-174.
@article{bffce75abf1a44e8b8ce22eb7498166e,
title = "Noninvasive estimation of the aorta input function for measurement of tumor blood flow with [15O]water",
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 ROI 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 = "[O]water, Aorta, Input function, Tumor blood flow",
author = "Hiroshi Watabe and Channing, {Michael A.} and Cyril Riddell and Frederic Jousse and Libutti, {Steven K.} and Carrasquillo, {Jorge A.} and Bacharach, {Stephen L.} and Carson, {Richard E.}",
year = "2001",
month = "3",
doi = "10.1109/42.918468",
language = "English (US)",
volume = "20",
pages = "164--174",
journal = "IEEE Transactions on Medical Imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

TY - JOUR

T1 - Noninvasive estimation of the aorta input function for measurement of tumor blood flow with [15O]water

AU - Watabe, Hiroshi

AU - Channing, Michael A.

AU - Riddell, Cyril

AU - Jousse, Frederic

AU - Libutti, Steven K.

AU - Carrasquillo, Jorge A.

AU - Bacharach, Stephen L.

AU - Carson, Richard E.

PY - 2001/3

Y1 - 2001/3

N2 - 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 ROI 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.

AB - 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 ROI 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.

KW - [O]water

KW - Aorta

KW - Input function

KW - Tumor blood flow

UR - http://www.scopus.com/inward/record.url?scp=0035294141&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0035294141&partnerID=8YFLogxK

U2 - 10.1109/42.918468

DO - 10.1109/42.918468

M3 - Article

VL - 20

SP - 164

EP - 174

JO - IEEE Transactions on Medical Imaging

JF - IEEE Transactions on Medical Imaging

SN - 0278-0062

IS - 3

ER -