Volumetric quantification of atherosclerotic plaque in CT considering partial volume effect

Dehmeshki, Jamshid and Ye, Xujiong and Amin, Hamdan and Abaei, Maryam and Lin, XinYu and Qanadli, Salah D. (2007) Volumetric quantification of atherosclerotic plaque in CT considering partial volume effect. IEEE Transactions on Medical Imaging, 26 (3). pp. 273-282. ISSN 0278-0062

Full content URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnum...

Documents
Volumetric_Quantification_of_Atherosclerotic_Plaque.pdf

Request a copy
[img] PDF
Volumetric_Quantification_of_Atherosclerotic_Plaque.pdf - Whole Document
Restricted to Repository staff only
Item Type:Article
Item Status:Live Archive

Abstract

Coronary artery calcification (CAC) is quantified based on a computed tomography (CT) scan image. A calcified region is identified. Modified expectation maximization (MEM) of a statistical model for the calcified and background material
is used to estimate the partial calcium content of the voxels. The algorithm limits the region over which MEM is performed. By using MEM, the statistical properties of the model are iteratively updated based on the calculated resultant calcium distribution from the previous iteration. The estimated statistical properties are used to generate a map of the partial calcium content in the calcified region. The volume of calcium in the calcified region is determined based on the map. The experimental results on a cardiac phantom, scanned 90 times using 15 different protocols,
demonstrate that the proposed method is less sensitive to partial volume effect and noise, with average error of 9.5% (standard deviation (SD) of 5–7mm3) compared with 67% (SD of 3–20mm3) for conventional techniques. The high reproducibility of the proposed method for 35 patients, scanned twice using the same protocol at a minimum interval of 10 min, shows that the method provides 2–3 times lower interscan variation than conventional techniques.

Additional Information:Coronary artery calcification (CAC) is quantified based on a computed tomography (CT) scan image. A calcified region is identified. Modified expectation maximization (MEM) of a statistical model for the calcified and background material is used to estimate the partial calcium content of the voxels. The algorithm limits the region over which MEM is performed. By using MEM, the statistical properties of the model are iteratively updated based on the calculated resultant calcium distribution from the previous iteration. The estimated statistical properties are used to generate a map of the partial calcium content in the calcified region. The volume of calcium in the calcified region is determined based on the map. The experimental results on a cardiac phantom, scanned 90 times using 15 different protocols, demonstrate that the proposed method is less sensitive to partial volume effect and noise, with average error of 9.5% (standard deviation (SD) of 5–7mm3) compared with 67% (SD of 3–20mm3) for conventional techniques. The high reproducibility of the proposed method for 35 patients, scanned twice using the same protocol at a minimum interval of 10 min, shows that the method provides 2–3 times lower interscan variation than conventional techniques.
Keywords:Coronary artery calcification, expectation-maximization, partial volume effect, proportion map, volume measurement
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:7310
Deposited On:22 Jan 2013 16:04

Repository Staff Only: item control page