Document Detail


Image-derived input function in PET brain studies: blood-based methods are resistant to motion artifacts.
MedLine Citation:
PMID:  22760300     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Image-derived input function (IDIF) from carotid arteries is an elegant alternative to full arterial blood sampling for brain PET studies. However, a recent study using blood-free IDIFs found that this method is particularly vulnerable to patient motion. The present study used both simulated and clinical [11C](R)-rolipram data to assess the robustness of a blood-based IDIF method (a method that is ultimately normalized with blood samples) with regard to motion artifacts.
METHODS: The impact of motion on the accuracy of IDIF was first assessed with an analytical simulation of a high-resolution research tomograph using a numerical phantom of the human brain, equipped with internal carotids. Different degrees of translational (from 1 to 20 mm) and rotational (from 1 to 15°) motions were tested. The impact of motion was then tested on the high-resolution research tomograph dynamic scans of three healthy volunteers, reconstructed with and without an online motion correction system. IDIFs and Logan-distribution volume (VT) values derived from simulated and clinical scans with motion were compared with those obtained from the scans with motion correction.
RESULTS: In the phantom scans, the difference in the area under the curve (AUC) for the carotid time-activity curves was up to 19% for rotations and up to 66% for translations compared with the motionless simulation. However, for the final IDIFs, which were fitted to blood samples, the AUC difference was 11% for rotations and 8% for translations. Logan-VT errors were always less than 10%, except for the maximum translation of 20 mm, in which the error was 18%. Errors in the clinical scans without motion correction appeared to be minor, with differences in AUC and Logan-VT always less than 10% compared with scans with motion correction.
CONCLUSION: When a blood-based IDIF method is used for neurological PET studies, the motion of the patient affects IDIF estimation and kinetic modeling only minimally.
Authors:
Paolo Zanotti-Fregonara; Jeih-San Liow; Claude Comtat; Sami S Zoghbi; Yi Zhang; Victor W Pike; Masahiro Fujita; Robert B Innis
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Intramural    
Journal Detail:
Title:  Nuclear medicine communications     Volume:  33     ISSN:  1473-5628     ISO Abbreviation:  Nucl Med Commun     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-07-30     Completed Date:  2012-12-06     Revised Date:  2013-10-17    
Medline Journal Info:
Nlm Unique ID:  8201017     Medline TA:  Nucl Med Commun     Country:  England    
Other Details:
Languages:  eng     Pagination:  982-9     Citation Subset:  IM    
Affiliation:
Molecular Imaging Branch, National Institute of Mental Health, NIH, Bethesda, Maryland 20892-2035, USA.
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MeSH Terms
Descriptor/Qualifier:
Area Under Curve
Artifacts*
Brain / blood supply*,  physiology,  radionuclide imaging*
Carotid Arteries / physiology,  radionuclide imaging
Humans
Kinetics
Models, Biological
Movement*
Phantoms, Imaging
Positron-Emission Tomography / methods*
Rolipram / diagnostic use
Grant Support
ID/Acronym/Agency:
Z99 MH999999/MH/NIMH NIH HHS
Chemical
Reg. No./Substance:
61413-54-5/Rolipram
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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