| Automated coronary artery tree extraction in coronary CT angiography using a multiscale enhancement and dynamic balloon tracking (MSCAR-DBT) method. | |
| | |
MedLine Citation:
|
PMID: 21601422 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
RATIONAL AND OBJECTIVES: To evaluate our prototype method for segmentation and tracking of the coronary arterial tree, which is the foundation for a computer-aided detection (CADe) system to be developed to assist radiologists in detecting non-calcified plaques in coronary CT angiography (cCTA) scans. MATERIALS AND METHODS: The heart region was first extracted by a morphological operation and an adaptive thresholding method based on expectation-maximization (EM) estimation. The vascular structures within the heart region were enhanced and segmented using a multiscale coronary response (MSCAR) method that combined 3D multiscale filtering, analysis of the eigenvalues of Hessian matrices and EM estimation segmentation. After the segmentation of vascular structures, the coronary arteries were tracked by a 3D dynamic balloon tracking (DBT) method. The DBT method started at two manually identified seed points located at the origins of the left and right coronary arteries (LCA and RCA) for extraction of the arterial trees. The coronary arterial trees of a data set containing 20 ECG-gated contrast-enhanced cCTA scans were extracted by our MSCAR-DBT method and a clinical GE Advantage workstation. Two experienced thoracic radiologists visually examined the coronary arteries on the original cCTA scans and the rendered volume of segmented vessels to count the untracked false-negative (FN) segments and false positives (FPs) for both methods. RESULTS: For the visible coronary arterial segments in the 20 cases, the radiologists identified that 25 segments were missed by our MSCAR-DBT method, ranging from 0 to 5 FN segments in individual cases, and that 55 artery segments were missed by the GE software, ranging from 0 to 7 FN segments in individual cases. 19 and 15 FPs were identified in our and the GE coronary trees, ranging from 0 to 4 FPs for both methods in individual cases, respectively. CONCLUSION: The preliminary study demonstrates the feasibility of our MSCAR-DBT method for segmentation and tracking coronary artery trees. The results indicated that both our method and GE software can extract coronary artery trees reasonably well and the performance of our method is superior to that of GE software in this small data set. Further studies are underway to develop methods for improvement of the segmentation and tracking accuracy. |
| | |
Authors:
|
Chuan Zhou; Heang-Ping Chan; Aamer Chughtai; Smita Patel; Lubomir M Hadjiiski; Jun Wei; Ella A Kazerooni |
Publication Detail:
|
Type: Journal Article; Research Support, N.I.H., Extramural Date: 2011-05-20 |
Journal Detail:
|
Title: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Volume: 36 ISSN: 1879-0771 ISO Abbreviation: Comput Med Imaging Graph Publication Date: 2012 Jan |
Date Detail:
|
Created Date: 2011-12-19 Completed Date: 2012-04-17 Revised Date: 2012-05-23 |
Medline Journal Info:
|
Nlm Unique ID: 8806104 Medline TA: Comput Med Imaging Graph Country: United States |
Other Details:
|
Languages: eng Pagination: 1-10 Citation Subset: IM |
Copyright Information:
|
Copyright © 2011 Elsevier Ltd. All rights reserved. |
Affiliation:
|
Department of Radiology, University of Michigan, Ann Arbor 48109, USA. chuan@umich.edu |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms* Balloon Dilation Calcinosis / radiography* Coronary Angiography / methods Coronary Artery Disease / radiography* Heart Catheterization Humans Imaging, Three-Dimensional / methods* Pattern Recognition, Automated / methods* Radiographic Image Enhancement / methods Radiographic Image Interpretation, Computer-Assisted / methods* Reproducibility of Results Sensitivity and Specificity Tomography, X-Ray Computed / methods* |
| Grant Support | |
ID/Acronym/Agency:
|
R01 HL06545/HL/NHLBI NIH HHS; R01 HL092044/HL/NHLBI NIH HHS; R01 HL092044/HL/NHLBI NIH HHS; R01 HL092044-03/HL/NHLBI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Right Ventricular Myocardial Systolic and Diastolic Dysfunction in Heart Failure with Normal Left Ve...
Next Document: A description of a process to calibrate the Morse fall scale in a long-term care home.