Literature DB >> 18218411

An approximation formula for the variance of PET region-of-interest values.

R E Carson1, Y Yan, M E Daube-Witherspoon, N Freedman, S L Bacharach, P Herscovitch.   

Abstract

An approximation formula for the variance of positron emission tomography (PET) region-of-interest (ROI) values has been developed, implemented, and evaluated. This formula does not require access to the original projection data and is therefore convenient for routine use. The formula was derived by applying successive approximations to the filtered-backprojection reconstruction algorithm. ROI variance is estimated from the product of mean pixel variance within the region and a term accounting for the intercorrelation of all pixel pairs inside the region. The formula accounts for radioactivity distribution, attenuation, randoms, scatter, deadtime, detector normalization, scan length, decay, and reconstruction filter. The algorithm was tested by comparison to the exact ROI variance as calculated with Huesman's algorithm. Tests with scan data from phantoms, animals, and humans obtained on the Scanditronix PC2048-15B tomograph showed the approximation formula to be accurate to within +/-10%

Entities:  

Year:  1993        PMID: 18218411     DOI: 10.1109/42.232252

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


  12 in total

1.  VOXEL-LEVEL MAPPING OF TRACER KINETICS IN PET STUDIES: A STATISTICAL APPROACH EMPHASIZING TISSUE LIFE TABLES.

Authors:  Finbarr O'Sullivan; Mark Muzi; David A Mankoff; Janet F Eary; Alexander M Spence; Kenneth A Krohn
Journal:  Ann Appl Stat       Date:  2014-06-01       Impact factor: 2.083

Review 2.  Precision and accuracy of clinical quantification of myocardial blood flow by dynamic PET: A technical perspective.

Authors:  Jonathan B Moody; Benjamin C Lee; James R Corbett; Edward P Ficaro; Venkatesh L Murthy
Journal:  J Nucl Cardiol       Date:  2015-04-14       Impact factor: 5.952

3.  Selection of weighting factors for quantification of PET radioligand binding using simplified reference tissue models with noisy input functions.

Authors:  M D Normandin; R A Koeppe; E D Morris
Journal:  Phys Med Biol       Date:  2012-01-12       Impact factor: 3.609

4.  Spatial Auto-Regressive Analysis of Correlation in 3-D PET With Application to Model-Based Simulation of Data.

Authors:  Jian Huang; Tian Mou; Kevin O'Regan; Finbarr O'Sullivan
Journal:  IEEE Trans Med Imaging       Date:  2019-08-29       Impact factor: 10.048

5.  Statistical assessment of treatment response in a cancer patient based on pre-therapy and post-therapy FDG-PET scans.

Authors:  E Wolsztynski; F O'Sullivan; J O'Sullivan; J F Eary
Journal:  Stat Med       Date:  2016-12-18       Impact factor: 2.373

6.  Structural and practical identifiability of dual-input kinetic modeling in dynamic PET of liver inflammation.

Authors:  Yang Zuo; Souvik Sarkar; Michael T Corwin; Kristin Olson; Ramsey D Badawi; Guobao Wang
Journal:  Phys Med Biol       Date:  2019-09-05       Impact factor: 3.609

7.  Nonparametric Residue Analysis of Dynamic PET Data With Application to Cerebral FDG Studies in Normals.

Authors:  Finbarr O'Sullivan; Mark Muzi; Alexander M Spence; David M Mankoff; Janet N O'Sullivan; Niall Fitzgerald; George C Newman; Kenneth A Krohn
Journal:  J Am Stat Assoc       Date:  2009-06-01       Impact factor: 5.033

8.  Kinetic quantitation of cerebral PET-FDG studies without concurrent blood sampling: statistical recovery of the arterial input function.

Authors:  F O'Sullivan; J Kirrane; M Muzi; J N O'Sullivan; A M Spence; D A Mankoff; K A Krohn
Journal:  IEEE Trans Med Imaging       Date:  2009-08-25       Impact factor: 10.048

9.  Kinetic Analysis of Dynamic Positron Emission Tomography Data using Open-Source Image Processing and Statistical Inference Tools.

Authors:  David Hawe; Francisco R Hernández Fernández; Liam O'Suilleabháin; Jian Huang; Eric Wolsztynski; Finbarr O'Sullivan
Journal:  Wiley Interdiscip Rev Comput Stat       Date:  2012-02-10

10.  Estimation of noise-free variance to measure heterogeneity.

Authors:  Tilo Winkler; Marcos F Vidal Melo; Luiza H Degani-Costa; R Scott Harris; John A Correia; Guido Musch; Jose G Venegas
Journal:  PLoS One       Date:  2015-04-23       Impact factor: 3.240

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