TY  - JOUR
AU  - Tadashi Araki
AU  - Sumit K. Banchhor
AU  - Narendra D. Londhe
AU  - Nobutaka Ikeda
AU  - Petia Radeva
AU  - Devarshi Shukla
AU  - Luca Saba
AU  - Antonella Balestrieri
AU  - Andrew Nicolaides
AU  - Shoaib Shafique
AU  - John R. Laird
AU  - Jasjit S. Suri
PY  - 2016//
TI  - Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos
T2  - JMS
JO  - Journal of Medical Systems
SP  - 51:1
EP  - 51:20
VL  - 40
IS  - 3
KW  - Interventional cardiology
KW  - Atherosclerosis
KW  - Coronary arteries
KW  - IVUS
KW  - calcium volume
KW  - Soft computing
KW  - Performance Reliability
KW  - Accuracy
N2  - Quantitative assessment of calcified atherosclerotic volume within the coronary artery wall is vital for cardiac interventional procedures. The goal of this study is to automatically measure the calcium volume, given the borders of coronary vessel wall for all the frames of the intravascular ultrasound (IVUS) video. Three soft computing fuzzy classification techniques were adapted namely Fuzzy c-Means (FCM), K-means, and Hidden Markov Random Field (HMRF) for automated segmentation of calcium regions and volume computation. These methods were benchmarked against previously developed threshold-based method. IVUS image data sets (around 30,600 IVUS frames) from 15 patients were collected using 40 MHz IVUS catheter (Atlantis® SR Pro, Boston Scientific®, pullback speed of 0.5 mm/s). Calcium mean volume for FCM, K-means, HMRF and threshold-based method were 37.84 ± 17.38 mm3, 27.79 ± 10.94 mm3, 46.44 ± 19.13 mm3 and 35.92 ± 16.44 mm3 respectively. Cross-correlation, Jaccard Index and Dice Similarity were highest between FCM and threshold-based method: 0.99, 0.92 ± 0.02 and 0.95 + 0.02 respectively. Student’s t-test, z-test and Wilcoxon-test are also performed to demonstrate consistency, reliability and accuracy of the results. Given the vessel wall region, the system reliably and automatically measures the calcium volume in IVUS videos. Further, we validated our system against a trained expert using scoring: K-means showed the best performance with an accuracy of 92.80 %. Out procedure and protocol is along the line with method previously published clinically.
UR  - http://dx.doi.org/10.1007/s10916-015-0407-z
N1  - MILAB;
ID  - Tadashi Araki2016
ER  -