Literature DB >> 11341707

Noninvasive estimation of the aorta input function for measurement of tumor blood flow with.

H Watabe1, M A Channing, C Riddell, F Jousse, S K Libutti, J A Carrasquillo, S L Bacharach, R E Carson.   

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.

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Year:  2001        PMID: 11341707     DOI: 10.1109/42.918468

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  9 in total

1.  Non-invasive estimation of hepatic blood perfusion from H2 15O PET images using tissue-derived arterial and portal input functions.

Authors:  N Kudomi; L Slimani; M J Järvisalo; J Kiss; R Lautamäki; G A Naum; T Savunen; J Knuuti; H Iida; P Nuutila; P Iozzo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-05-06       Impact factor: 9.236

Review 2.  Recent advances in parametric neuroreceptor mapping with dynamic PET: basic concepts and graphical analyses.

Authors:  Seongho Seo; Su Jin Kim; Dong Soo Lee; Jae Sung Lee
Journal:  Neurosci Bull       Date:  2014-09-28       Impact factor: 5.203

3.  Evaluation of bias and variance in low-count OSEM list mode reconstruction.

Authors:  Y Jian; B Planeta; R E Carson
Journal:  Phys Med Biol       Date:  2014-12-05       Impact factor: 3.609

4.  A hybrid clustering method for ROI delineation in small-animal dynamic PET images: application to the automatic estimation of FDG input functions.

Authors:  Xiujuan Zheng; Guangjian Tian; Sung-Cheng Huang; Dagan Feng
Journal:  IEEE Trans Inf Technol Biomed       Date:  2010-10-14

5.  Cerebral blood flow with [15O]water PET studies using an image-derived input function and MR-defined carotid centerlines.

Authors:  Edward K Fung; Richard E Carson
Journal:  Phys Med Biol       Date:  2013-02-27       Impact factor: 3.609

6.  Non-invasive estimation of hepatic glucose uptake from [18F]FDG PET images using tissue-derived input functions.

Authors:  N Kudomi; M J Järvisalo; J Kiss; R Borra; A Viljanen; T Viljanen; T Savunen; J Knuuti; H Iida; P Nuutila; P Iozzo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-12       Impact factor: 9.236

7.  Evaluation of limited blood sampling population input approaches for kinetic quantification of [18F]fluorothymidine PET data.

Authors:  Kaiyumars B Contractor; Laura M Kenny; Charles R Coombes; Federico E Turkheimer; Eric O Aboagye; Lula Rosso
Journal:  EJNMMI Res       Date:  2012-03-24       Impact factor: 3.138

8.  The influence of tumor oxygenation on (18)F-FDG (fluorine-18 deoxyglucose) uptake: a mouse study using positron emission tomography (PET).

Authors:  Linda W Chan; Sebastien Hapdey; Sean English; Jurgen Seidel; Joann Carson; Anastasia L Sowers; Murali C Krishna; Michael V Green; James B Mitchell; Stephen L Bacharach
Journal:  Radiat Oncol       Date:  2006-02-28       Impact factor: 3.481

9.  Population-based input function for TSPO quantification and kinetic modeling with [11C]-DPA-713.

Authors:  Mercy I Akerele; Sara A Zein; Sneha Pandya; Anastasia Nikolopoulou; Susan A Gauthier; Ashish Raj; Claire Henchcliffe; P David Mozley; Nicolas A Karakatsanis; Ajay Gupta; John Babich; Sadek A Nehmeh
Journal:  EJNMMI Phys       Date:  2021-04-29
  9 in total

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