Literature DB >> 7610118

Correction of spillover radioactivities for estimation of the blood time-activity curve from the imaged LV chamber in cardiac dynamic FDG PET studies.

K P Lin1, S C Huang, Y Choi, R C Brunken, H R Schelbert, M E Phelps.   

Abstract

In dynamic cardiac PET FDG studies for measurement of myocardial metabolic rate of glucose (MMRGlc), the plasma FDG time-activity curve (input function) is commonly obtained from the left ventricular (LV) region on the PET images. The input function is contaminated by spillover of radioactivity from the surrounding myocardium and this could cause significant error in the estimated MMRGlc. In this study, we determined the effect of myocardial to blood pool spillover on MMRGlc and developed a method to correct for this spillover of activity. The method is based on a reformulation of the FDG model equation in terms of the spillover contaminated input function that includes both the myocardium to blood pool and blood pool to myocardium spillover fractions as variable parameters (Fmb and Fbm). The reformulated model equation can be used to fit the global myocardial tissue activity curve to estimate Fmb and thus yields a spillover corrected input function. The MMRGlc estimate with the corrected input function was within 95% of the true value (compared to 85% using the uncorrected input function) in a set of computer simulation studies. Dynamic PET FDG data were obtained in eight human studies and blood samples were obtained during the study. As compared to the results with the uncorrected input function, the estimates of k4 by the new method were reduced by 69% into a range consistent with in vitro results. The method is effective in correcting Fmb spillover and leads to more accurate estimates of MMRGlc. The method also allows larger regions of interest (up to 150 mm2) to be drawn over the LV in dynamic PET images, thereby reducing the noise level in the input function.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7610118     DOI: 10.1088/0031-9155/40/4/009

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

Review 1.  Determination of the Input Function at the Entry of the Tissue of Interest and Its Impact on PET Kinetic Modeling Parameters.

Authors:  M'hamed Bentourkia
Journal:  Mol Imaging Biol       Date:  2015-12       Impact factor: 3.488

2.  Quantitative Analysis of Heterogeneous [18F]FDG Static (SUV) vs. Patlak (Ki) Whole-body PET Imaging Using Different Segmentation Methods: a Simulation Study.

Authors:  Mingzan Zhuang; Nicolas A Karakatsanis; Rudi A J O Dierckx; Habib Zaidi
Journal:  Mol Imaging Biol       Date:  2019-04       Impact factor: 3.488

3.  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

4.  Cocaine is pharmacologically active in the nonhuman primate fetal brain.

Authors:  Helene Benveniste; Joanna S Fowler; William D Rooney; Bruce A Scharf; W Walter Backus; Igor Izrailtyan; Gitte M Knudsen; Steen G Hasselbalch; Nora D Volkow
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-04       Impact factor: 11.205

5.  Estimation of myocardial glucose utilisation with PET using the left ventricular time-activity curve as a non-invasive input function.

Authors:  X Li; D Feng; K P Lin; S C Huang
Journal:  Med Biol Eng Comput       Date:  1998-01       Impact factor: 2.602

Review 6.  Searching for novel PET radiotracers: imaging cardiac perfusion, metabolism and inflammation.

Authors:  Caitlund Q Davidson; Christopher P Phenix; T C Tai; Neelam Khaper; Simon J Lees
Journal:  Am J Nucl Med Mol Imaging       Date:  2018-06-05

7.  A study of non-invasive Patlak quantification for whole-body dynamic FDG-PET studies of mice.

Authors:  Xiujuan Zheng; Lingfeng Wen; Shu-Jung Yu; Sung-Cheng Huang; David Dagan Feng
Journal:  Biomed Signal Process Control       Date:  2012-09-01       Impact factor: 3.880

8.  The 18 kDa translocator protein (peripheral benzodiazepine receptor) expression in the bone of normal, osteoprotegerin or low calcium diet treated mice.

Authors:  Winnie Wai-Ying Kam; Steven R Meikle; Hong Zhou; Yu Zheng; Julie M Blair; Marcus Seibel; Colin R Dunstan; Richard B Banati
Journal:  PLoS One       Date:  2012-01-25       Impact factor: 3.240

9.  Hybrid PET/MR Kernelised Expectation Maximisation Reconstruction for Improved Image-Derived Estimation of the Input Function from the Aorta of Rabbits.

Authors:  Daniel Deidda; Nicolas A Karakatsanis; Philip M Robson; Claudia Calcagno; Max L Senders; Willem J M Mulder; Zahi A Fayad; Robert G Aykroyd; Charalampos Tsoumpas
Journal:  Contrast Media Mol Imaging       Date:  2019-01-16       Impact factor: 3.161

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.