Document Detail


Automated segmentation of myocardial scar in late enhancement MRI using combined intensity and spatial information.
MedLine Citation:
PMID:  20665801     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Accurate assessment of the size and distribution of a myocardial infarction (MI) from late gadolinium enhancement (LGE) MRI is of significant prognostic value for postinfarction patients. In this paper, an automatic MI identification method combining both intensity and spatial information is presented in a clear framework of (i) initialization, (ii) false acceptance removal, and (iii) false rejection removal. The method was validated on LGE MR images of 20 chronic postinfarction patients, using manually traced MI contours from two independent observers as reference. Good agreement was observed between automatic and manual MI identification. Validation results showed that the average Dice indices, which describe the percentage of overlap between two regions, were 0.83 +/- 0.07 and 0.79 +/- 0.08 between the automatic identification and the manual tracing from observer 1 and observer 2, and the errors in estimated infarct percentage were 0.0 +/- 1.9% and 3.8 +/- 4.7% compared with observer 1 and observer 2. The difference between the automatic method and manual tracing is in the order of interobserver variation. In conclusion, the developed automatic method is accurate and robust in MI delineation, providing an objective tool for quantitative assessment of MI in LGE MR imaging.
Authors:
Qian Tao; Julien Milles; Katja Zeppenfeld; Hildo J Lamb; Jeroen J Bax; Johan H C Reiber; Rob J van der Geest
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine     Volume:  64     ISSN:  1522-2594     ISO Abbreviation:  Magn Reson Med     Publication Date:  2010 Aug 
Date Detail:
Created Date:  2010-07-28     Completed Date:  2011-01-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8505245     Medline TA:  Magn Reson Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  586-94     Citation Subset:  IM    
Affiliation:
LKEB - Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. q.tao@lumc.nl
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MeSH Terms
Descriptor/Qualifier:
Aged
Aged, 80 and over
Algorithms
Cicatrix / etiology,  pathology*
Contrast Media
Female
Gadolinium DTPA / diagnostic use*
Humans
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Magnetic Resonance Imaging / methods*
Male
Middle Aged
Myocardial Infarction / complications,  pathology*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Chemical
Reg. No./Substance:
0/Contrast Media; 80529-93-7/Gadolinium DTPA

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


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