Abstract
Background Accurate and fast quantitative assessment of calcium volume is required during the planning of percutaneous coronary interventions procedures. Low resolution in intravascular ultrasound (IVUS) coronary videos poses a threat to calcium detection causing over-estimation in volume measurement. We introduce a correction block that counter-balances the bias introduced during the calcium detection process. Method Nineteen patients image dataset (around 40,090 frames), IRB approved, were collected using 40 MHz IVUS catheter (Atlantis® SR Pro, Boston Scientific®, pullback speed of 0.5 mm/sec). A new set of 20 generalized and well-balanced systems each consisting of three stages: (i) calcium detection, (ii) calibration and (iii) measurement, while ensuring accuracy of four soft classifiers (Threshold, FCM, K-means and HMRF) and workflow speed using five multiresolution techniques (bilinear, bicubic, wavelet, Lanczos, Gaussian Pyramid) were designed. Results of the three calcium detection methods were benchmarked against the Threshold-based method. Results All 20 well-balanced systems with calibration block show superior performance. Using calibration block, FCM versus Threshold-based method shows the highest cross-correlation 0.99 (P<0.0001), Jaccard index 0.984±0.013 (P<0.0001), and Dice similarity 0.992±0.007 (P<0.0001). The corresponding area under the curve for four calcium detection techniques is: 1.0, 1.0, 0.97 and 0.93, respectively. The mean overall performance improvement is 38.54% and when adapting calibration block. The mean workflow speed improvement is 62.14% when adapting multiresolution paradigm. Three clinical tests shows consistency, reliability, and stability of our well-balanced system. Conclusions A well-balanced system with a combination of Threshold embedded with Lanczos multiresolution was optimal and can be useable in clinical settings.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 168-181 |
| Number of pages | 14 |
| Journal | Computers in Biology and Medicine |
| Volume | 84 |
| DOIs | |
| State | Published - May 1 2017 |
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Keywords
- Calibration
- Classification
- Coronary calcium volume
- Low-resolution IVUS
- Multiresolution
- Speed
ASJC Scopus subject areas
- Computer Science Applications
- Health Informatics
Cite this
Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos. / Banchhor, Sumit K.; Londhe, Narendra D.; Araki, Tadashi; Saba, Luca; Radeva, Petia; Laird, John R.; Suri, Jasjit S.; Fellow AIMBE.
In: Computers in Biology and Medicine, Vol. 84, 01.05.2017, p. 168-181.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos
AU - Banchhor, Sumit K.
AU - Londhe, Narendra D.
AU - Araki, Tadashi
AU - Saba, Luca
AU - Radeva, Petia
AU - Laird, John R.
AU - Suri, Jasjit S.
AU - Fellow AIMBE
PY - 2017/5/1
Y1 - 2017/5/1
N2 - Background Accurate and fast quantitative assessment of calcium volume is required during the planning of percutaneous coronary interventions procedures. Low resolution in intravascular ultrasound (IVUS) coronary videos poses a threat to calcium detection causing over-estimation in volume measurement. We introduce a correction block that counter-balances the bias introduced during the calcium detection process. Method Nineteen patients image dataset (around 40,090 frames), IRB approved, were collected using 40 MHz IVUS catheter (Atlantis® SR Pro, Boston Scientific®, pullback speed of 0.5 mm/sec). A new set of 20 generalized and well-balanced systems each consisting of three stages: (i) calcium detection, (ii) calibration and (iii) measurement, while ensuring accuracy of four soft classifiers (Threshold, FCM, K-means and HMRF) and workflow speed using five multiresolution techniques (bilinear, bicubic, wavelet, Lanczos, Gaussian Pyramid) were designed. Results of the three calcium detection methods were benchmarked against the Threshold-based method. Results All 20 well-balanced systems with calibration block show superior performance. Using calibration block, FCM versus Threshold-based method shows the highest cross-correlation 0.99 (P<0.0001), Jaccard index 0.984±0.013 (P<0.0001), and Dice similarity 0.992±0.007 (P<0.0001). The corresponding area under the curve for four calcium detection techniques is: 1.0, 1.0, 0.97 and 0.93, respectively. The mean overall performance improvement is 38.54% and when adapting calibration block. The mean workflow speed improvement is 62.14% when adapting multiresolution paradigm. Three clinical tests shows consistency, reliability, and stability of our well-balanced system. Conclusions A well-balanced system with a combination of Threshold embedded with Lanczos multiresolution was optimal and can be useable in clinical settings.
AB - Background Accurate and fast quantitative assessment of calcium volume is required during the planning of percutaneous coronary interventions procedures. Low resolution in intravascular ultrasound (IVUS) coronary videos poses a threat to calcium detection causing over-estimation in volume measurement. We introduce a correction block that counter-balances the bias introduced during the calcium detection process. Method Nineteen patients image dataset (around 40,090 frames), IRB approved, were collected using 40 MHz IVUS catheter (Atlantis® SR Pro, Boston Scientific®, pullback speed of 0.5 mm/sec). A new set of 20 generalized and well-balanced systems each consisting of three stages: (i) calcium detection, (ii) calibration and (iii) measurement, while ensuring accuracy of four soft classifiers (Threshold, FCM, K-means and HMRF) and workflow speed using five multiresolution techniques (bilinear, bicubic, wavelet, Lanczos, Gaussian Pyramid) were designed. Results of the three calcium detection methods were benchmarked against the Threshold-based method. Results All 20 well-balanced systems with calibration block show superior performance. Using calibration block, FCM versus Threshold-based method shows the highest cross-correlation 0.99 (P<0.0001), Jaccard index 0.984±0.013 (P<0.0001), and Dice similarity 0.992±0.007 (P<0.0001). The corresponding area under the curve for four calcium detection techniques is: 1.0, 1.0, 0.97 and 0.93, respectively. The mean overall performance improvement is 38.54% and when adapting calibration block. The mean workflow speed improvement is 62.14% when adapting multiresolution paradigm. Three clinical tests shows consistency, reliability, and stability of our well-balanced system. Conclusions A well-balanced system with a combination of Threshold embedded with Lanczos multiresolution was optimal and can be useable in clinical settings.
KW - Calibration
KW - Classification
KW - Coronary calcium volume
KW - Low-resolution IVUS
KW - Multiresolution
KW - Speed
UR - http://www.scopus.com/inward/record.url?scp=85017104292&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017104292&partnerID=8YFLogxK
U2 - 10.1016/j.compbiomed.2017.03.026
DO - 10.1016/j.compbiomed.2017.03.026
M3 - Article
VL - 84
SP - 168
EP - 181
JO - Computers in Biology and Medicine
JF - Computers in Biology and Medicine
SN - 0010-4825
ER -