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CURRENT ISSUEINTERNATIONAL ANGIOLOGY

A Journal on Angiology

Official Journal of the International Union of Angiology, the International Union of Phlebology and the Central European Vascular Forum
Indexed/Abstracted in: BIOSIS Previews, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 0,899

Frequency: Bi-Monthly

ISSN 0392-9590

Online ISSN 1827-1839

 

International Angiology 2015 June;34(3):290-305

    ORIGINAL ARTICLES

Automated calcium burden measurement in internal carotid artery plaque with CT: a hierarchical adaptive approach

Saba L. 1, Bhavsar A. V. 2, 3, Gupta A. 4, Mtui E. E. 4, Giambrone A. E. 5, Baradaran H. 4, Lavra F. 1, Laird J. R. 6, Nicolaides A. 7, 8, Suri J. S. 3, 9, 10

1 Department of Radiology, University Hospital, Polo di Monserrato, Cagliari, Italy;
2 School of Computing and Electrical Engg., Indian Institute of Technology Mandi, Mandi, India;
3 Point of Care Devices, Global Biomedical Technologies, Inc., Roseville, CA, USA;
4 Department of Radiology, Weill Cornell Medical College, New York, NY, USA;
5 Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA;
6 UC Davis Vascular Center, University of California, Davis, CA, USA;
7 Vascular Screening and Diagnostic Centre, London, UK;
8 Department of Biological Sciences, University of Cyprus, Nicosia, CYPRUS;
9 Diagnostic and Monitoring Division, AtheroPointâ„¢ LLC, CA, USA;
10 Electrical Engg. Department (Affl.), Idaho State University, ID, USA

AIM: Calcium burden measurement in internal carotid artery (ICA) plaque could play an important role in assessing stroke risk and stenosis quantification in the ICA. We propose an automatic method for labelling calcified plaques in ICA in CT images.
METHODS: Our approach builds upon the mean shift paradigm via an adaptive thresholding strategy. The data consists of single CT slices from 75 patients, with variety of plaque sizes and number of calcium regions. The manual measurements were carried out by a neuroradiologist for benchmarking. The calcium burden was measured as the area of the labelled plaque. Various metrics were employed to compare manual and automated measurements including correlation coefficient (CC), dice similarity (DS), Jacard Index (JI), polyline distance metric (PDM) and precision of merit (PoM).
RESULTS: We found that our automated method of calcium area characterization performed accurately compared to manual measurements with CC=0.978, and PoM=0.915. The PDM, DS, and JI, also indicate a good performance with a mean DS=0.85 (SD=0.085), a mean JI=0.747 (SD=0.12), and a mean PDM=0.195 (SD=0.177).
CONCLUSION: The proposed approach for calcium burden measurement, yields reasonably accurate labelling of calcified plaque when benchmarked against manual measurements. The approach is independent of the number and size of calcium regions, and the prototype design shows encouraging results to be adaptable to clinical practice.

language: English


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