Document Detail


Optimal number of respiratory gates in positron emission tomography: a cardiac patient study.
MedLine Citation:
PMID:  19544796     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Respiratory gating is the method of dividing the data from a tomographic scan with respect to the respiratory phase of the patient. It enables more accurate images by reducing the effects of motion blur and attenuation artifacts due to motion. However, it induces image degradation due to higher noise levels as the number of events per gate is reduced. Due to lack of systematic studies in this regard, different numbers of gates are being used in the scientific and clinical practice. The present study aims at examining the relationship between the respiratory signal, the number of gates required for accurate motion detection, and the level of noise with two different methods of gating: (1) Amplitude-based gating and (2) time-based gating. Patient data with a wide range of motion are used for the study. The results show that time-based gating underestimates the real respiratory displacement by up to 50%. The optimal number of gates is 8 for amplitude- and 6 for time-based gatings. The noise properties remain the same with either method but noise increases with increasing number of gates.
Authors:
Mohammad Dawood; Florian Büther; Lars Stegger; Xiaoyi Jiang; Otmar Schober; Michael Schäfers; Klaus P Schäfers
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Medical physics     Volume:  36     ISSN:  0094-2405     ISO Abbreviation:  Med Phys     Publication Date:  2009 May 
Date Detail:
Created Date:  2009-06-23     Completed Date:  2009-07-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0425746     Medline TA:  Med Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1775-84     Citation Subset:  IM    
Affiliation:
European Institute of Molecular Imaging, Mendelstrasse 11, 48149 Münster Germany. dawood@uni-muenster.de
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Coronary Artery Disease / radionuclide imaging*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Positron-Emission Tomography / methods*
Quality Assurance, Health Care*
Quality Control
Reproducibility of Results
Respiratory-Gated Imaging Techniques / methods*
Sensitivity and Specificity

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


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