Literature DB >> 8965143

Three-dimensional correction for spillover and recovery of myocardial PET images.

H Nuyts1, A Maes, M Vrolix, C Schiepers, H Schelbert, W Kuhle, G Bormans, G Poppe, D Buxton, P Suetens, H De Geest, L Mortelmans.   

Abstract

UNLABELLED: PET permits the quantification of myocardial blood flow, but is hampered by the limited spatial resolution of PET images.
METHODS: We evaluated two methods for the correction of resolution effects in PET perfusion 13NH3-ammonia images. In one model, the spillover and recovery coefficients are estimated in the kinetic modeling analysis. The new, second model uses an explicit delineation of the left ventricular wall and a convolution model for the system point spread function to compute the regional values of the spillover and recovery coefficients.
RESULTS: The new method is validated with phantom measurements. The two methods are evaluated on animal experiments using 13NH3-ammonia. Both two- and three- compartment models were used to compute absolute flow values. Excellent linear correlations with microsphere data were obtained. The slope of the regression line was lower for corrections based on kinetic modeling as compared to convolution-based correction. In animal experiments, recovery coefficients of 59% for the myocardial wall and 86% for the blood pool were obtained. Spillover from the blood pool into the myocardial was was 14%.
CONCLUSION: The new correction method strongly suppresses spillover and recovery effects due to limited resolution.

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Year:  1996        PMID: 8965143

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  9 in total

1.  Diminishing the impact of the partial volume effect in cardiac SPECT perfusion imaging.

Authors:  P Hendrik Pretorius; Michael A King
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

2.  Spillover Compensation in the Presence of Respiratory Motion Embedded in SPECT Perfusion Data.

Authors:  P Hendrik Pretorius; Michael A King
Journal:  IEEE Trans Nucl Sci       Date:  2008       Impact factor: 1.679

Review 3.  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

4.  Direct parametric reconstruction in dynamic PET myocardial perfusion imaging: in vivo studies.

Authors:  Yoann Petibon; Yothin Rakvongthai; Georges El Fakhri; Jinsong Ouyang
Journal:  Phys Med Biol       Date:  2017-04-05       Impact factor: 3.609

5.  Effect of iterations and time of flight on normal distributions of 82Rb PET relative perfusion and myocardial blood flow.

Authors:  Venkatesh L Murthy; Edward P Ficaro; Alexis Poitrasson-Rivière; Jonathan B Moody; Jennifer M Renaud; Tomoe Hagio; Liliana Arida-Moody
Journal:  J Nucl Cardiol       Date:  2021-08-26       Impact factor: 3.872

Review 6.  Quantification of myocardial perfusion by cardiovascular magnetic resonance.

Authors:  Michael Jerosch-Herold
Journal:  J Cardiovasc Magn Reson       Date:  2010-10-08       Impact factor: 5.364

7.  Compensation for spill-in and spill-out partial volume effects in cardiac PET imaging.

Authors:  Yong Du; Igal Madar; Martin J Stumpf; Xing Rong; George S K Fung; Eric C Frey
Journal:  J Nucl Cardiol       Date:  2012-11-14       Impact factor: 5.952

Review 8.  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

9.  Validation of an axially distributed model for quantification of myocardial blood flow using ¹³N-ammonia PET.

Authors:  Adam M Alessio; James B Bassingthwaighte; Robb Glenny; James H Caldwell
Journal:  J Nucl Cardiol       Date:  2012-10-19       Impact factor: 5.952

  9 in total

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