Literature DB >> 15181138

Common artifacts in PET myocardial perfusion images due to attenuation-emission misregistration: clinical significance, causes, and solutions.

Catalin Loghin1, Stefano Sdringola, K Lance Gould.   

Abstract

UNLABELLED: Misregistration between attenuation and emission images causes artifactual abnormalities on cardiac PET images that result in false-positive defects. This study determines the frequency and mechanisms of misregistration artifacts, identifies their predictors, and validates a method for their routine clinical identification, prevention, or correction.
METHODS: We performed 1177 consecutive diagnostic myocardial perfusion PET studies using 1 of 3 protocols: (a). 3 initial consecutive measured attenuation correction (MAC) scans, followed by resting and dipyridamole emission scans; (b). an initial MAC scan (early MAC), followed by emission scans; and (c). a MAC attenuation scan obtained after emission scans (late MAC). Emission images were manually shifted to obtain coregistration with attenuation and reconstructed again using shifted emission data that eliminated artifactual defects. Measurements on PET images included heart size, heart and diaphragm displacement after dipyridamole, objective quantitative misregistration of attenuation and emission images, and size or severity of image defects before and after shifting emission images.
RESULTS: Of 1,177 rest-dipyridamole PET perfusion studies, 252 (21.4%) had artifactual defects due to attenuation-emission misregistration. By shifting emission images, quantitative severity and size of misregistration and artifactual defects significantly decreased (P < 0.001) with visual normalization. Artifactual defects were predicted by horizontal plane misregistration (odds ratio [OR] = 1.545, confidence intervals [CI] = 1.113-2.145, P = 0.009), body mass index (OR = 2.659, CI = 1.032-6.855, P = 0.043), and whole heart area in the horizontal plane at rest (OR = 1.096, CI = 1.018-1.179, P = 0.015). Quantitative misregistration was predicted by diaphragm displacement between rest and dipyridamole (P = 0.001, CI = 0.158-0.630), body mass index (P = 0.005, CI = 0.202-1.124), and whole heart area in the horizontal plane at rest (P = 0.004, CI = -0.144 to -0.028). Diaphragm displacement was significantly larger for obese compared with lean patients (P = 0.027) during the initial 10 min of the imaging protocol.
CONCLUSION: Misregistration of attenuation and emission images is common in cardiac PET imaging and causes artifactual defects predicted by diaphragmatic displacement, body mass index, and heart size. Multiattenuation imaging sequences and manual, visually optimized coregistration of attenuation and emission images substantially eliminate artifacts for reliably identifying mild perfusion defects of early nonobstructive coronary atherosclerosis as the basis for intense lifestyle and pharmacologic treatment.

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Year:  2004        PMID: 15181138

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


  40 in total

1.  Patterns of myocardial perfusion in humans evaluated with contrast-enhanced 320 multidetector computed tomography.

Authors:  J Tobias Kühl; Jesper J Linde; Andreas Fuchs; Thomas S Kristensen; Henning Kelbæk; Richard T George; Jens D Hove; Klaus Fuglsang Kofoed
Journal:  Int J Cardiovasc Imaging       Date:  2011-12-06       Impact factor: 2.357

2.  Attenuation-emission alignment in cardiac PET/CT based on consistency conditions.

Authors:  Adam M Alessio; Paul E Kinahan; Kyle M Champley; James H Caldwell
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

Review 3.  Quantitative Coronary Physiology for Clinical Management: the Imaging Standard.

Authors:  K Lance Gould; Nils P Johnson
Journal:  Curr Cardiol Rep       Date:  2016-01       Impact factor: 2.931

4.  President's message: Advocacy for nuclear cardiology--the self-referral issue.

Authors:  Kim A Williams
Journal:  J Nucl Cardiol       Date:  2004 Nov-Dec       Impact factor: 5.952

5.  Assessing progression or regression of CAD: the role of perfusion imaging.

Authors:  K Lance Gould
Journal:  J Nucl Cardiol       Date:  2005 Nov-Dec       Impact factor: 5.952

6.  CT-based attenuation correction in (82)Rb-myocardial perfusion PET-CT: incidence of misalignment and effect on regional tracer distribution.

Authors:  Riikka Lautamäki; Tracy L Y Brown; Jennifer Merrill; Frank M Bengel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-10-02       Impact factor: 9.236

Review 7.  PET/CT Myocardial Perfusion Imaging Acquisition and Processing: Ten Tips and Tricks to Help You Succeed.

Authors:  Talal Alnabelsi; Akanksha Thakkar; Ahmed Ibrahim Ahmed; Yushui Han; Mouaz H Al-Mallah
Journal:  Curr Cardiol Rep       Date:  2021-03-11       Impact factor: 2.931

8.  Cine CT for attenuation correction in cardiac PET/CT.

Authors:  Adam M Alessio; Steve Kohlmyer; Kelley Branch; Grace Chen; James Caldwell; Paul Kinahan
Journal:  J Nucl Med       Date:  2007-05       Impact factor: 10.057

9.  Reconstruction of rapidly acquired Germanium-68 transmission scans for cardiac PET attenuation correction.

Authors:  Bai-Ling Hsu; James A Case; Kevin W Moser; Timothy M Bateman; S James Cullom
Journal:  J Nucl Cardiol       Date:  2007 Sep-Oct       Impact factor: 5.952

10.  Feasibility of myocardial flow reserve prediction without the use of dynamic data from myocardial perfusion positron emission tomography.

Authors:  Hidenobu Hashimoto; Yoshimitsu Fukushima; Shin-Ichiro Kumita; Takeshi Tomiyama; Tomonari Kiriyama
Journal:  Int J Cardiovasc Imaging       Date:  2018-03-19       Impact factor: 2.357

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