Document Detail


Registration-based segmentation of murine 4D cardiac micro-CT data using symmetric normalization.
MedLine Citation:
PMID:  22971564     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Micro-CT can play an important role in preclinical studies of cardiovascular disease because of its high spatial and temporal resolution. Quantitative analysis of 4D cardiac images requires segmentation of the cardiac chambers at each time point, an extremely time consuming process if done manually. To improve throughput this study proposes a pipeline for registration-based segmentation and functional analysis of 4D cardiac micro-CT data in the mouse. Following optimization and validation using simulations, the pipeline was applied to in vivo cardiac micro-CT data corresponding to ten cardiac phases acquired in C57BL/6 mice (n = 5). After edge-preserving smoothing with a novel adaptation of 4D bilateral filtration, one phase within each cardiac sequence was manually segmented. Deformable registration was used to propagate these labels to all other cardiac phases for segmentation. The volumes of each cardiac chamber were calculated and used to derive stroke volume, ejection fraction, cardiac output, and cardiac index. Dice coefficients and volume accuracies were used to compare manual segmentations of two additional phases with their corresponding propagated labels. Both measures were, on average, >0.90 for the left ventricle and >0.80 for the myocardium, the right ventricle, and the right atrium, consistent with trends in inter- and intra-segmenter variability. Segmentation of the left atrium was less reliable. On average, the functional metrics of interest were underestimated by 6.76% or more due to systematic label propagation errors around atrioventricular valves; however, execution of the pipeline was 80% faster than performing analogous manual segmentation of each phase.
Authors:
Darin Clark; Alexandra Badea; Yilin Liu; G Allan Johnson; Cristian T Badea
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-09-13
Journal Detail:
Title:  Physics in medicine and biology     Volume:  57     ISSN:  1361-6560     ISO Abbreviation:  Phys Med Biol     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-09-17     Completed Date:  2013-02-01     Revised Date:  2013-10-17    
Medline Journal Info:
Nlm Unique ID:  0401220     Medline TA:  Phys Med Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  6125-45     Citation Subset:  IM    
Affiliation:
Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC 27710, USA.
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MeSH Terms
Descriptor/Qualifier:
Animals
Four-Dimensional Computed Tomography / methods*
Heart / radiography*
Image Processing, Computer-Assisted / methods*
Male
Mice
Mice, Inbred C57BL
Phantoms, Imaging
X-Ray Microtomography / methods*
Grant Support
ID/Acronym/Agency:
P41 EB015897/EB/NIBIB NIH HHS; P41 EB015897/EB/NIBIB NIH HHS; U24 CA092656/CA/NCI NIH HHS; U24 CA092656/CA/NCI NIH HHS
Comments/Corrections

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