Abstract
We propose an elliptical active disc technique for the segmentation of common carotid artery lumen intima layer from transverse mode ultrasound images. The segmentation and subsequent outlining problem is posed as one of optimization of a local energy function with respect to the five degrees-of-freedom that characterize the elliptical active disc. Gradient descent technique is used to find the minimum of the energy function with respect to the five parameters that describe the disc. In addition, we use Green's theorem to optimize the computation of the partial derivatives. For automatic initialization of the active disc, we use the normalized crosscorrelation technique. We report results of experimental validation on SPLab, Brno university database, which contains 971 transverse mode ultrasound images of the carotid artery. We achieve accurate carotid artery lumen intima detection in 97.63% of cases. In addition, for lumen intima layer segmentation we achieve an average Dice index of 94.83%.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings |
| Publisher | IEEE Computer Society |
| Pages | 3493-3497 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479970612 |
| DOIs | |
| Publication status | Published - 29-08-2018 |
| Event | 25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece Duration: 07-10-2018 → 10-10-2018 |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
|---|---|
| ISSN (Print) | 1522-4880 |
Conference
| Conference | 25th IEEE International Conference on Image Processing, ICIP 2018 |
|---|---|
| Country | Greece |
| City | Athens |
| Period | 07-10-18 → 10-10-18 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Vision and Pattern Recognition
- Signal Processing
Cite this
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Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images. / Harish Kumar, J. R.; Seelamantula, Chandra Sekhar; Andrade, Jasbon; Rajagopal, K. V.
2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society, 2018. p. 3493-3497 8451549 (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images
AU - Harish Kumar, J. R.
AU - Seelamantula, Chandra Sekhar
AU - Andrade, Jasbon
AU - Rajagopal, K. V.
PY - 2018/8/29
Y1 - 2018/8/29
N2 - We propose an elliptical active disc technique for the segmentation of common carotid artery lumen intima layer from transverse mode ultrasound images. The segmentation and subsequent outlining problem is posed as one of optimization of a local energy function with respect to the five degrees-of-freedom that characterize the elliptical active disc. Gradient descent technique is used to find the minimum of the energy function with respect to the five parameters that describe the disc. In addition, we use Green's theorem to optimize the computation of the partial derivatives. For automatic initialization of the active disc, we use the normalized crosscorrelation technique. We report results of experimental validation on SPLab, Brno university database, which contains 971 transverse mode ultrasound images of the carotid artery. We achieve accurate carotid artery lumen intima detection in 97.63% of cases. In addition, for lumen intima layer segmentation we achieve an average Dice index of 94.83%.
AB - We propose an elliptical active disc technique for the segmentation of common carotid artery lumen intima layer from transverse mode ultrasound images. The segmentation and subsequent outlining problem is posed as one of optimization of a local energy function with respect to the five degrees-of-freedom that characterize the elliptical active disc. Gradient descent technique is used to find the minimum of the energy function with respect to the five parameters that describe the disc. In addition, we use Green's theorem to optimize the computation of the partial derivatives. For automatic initialization of the active disc, we use the normalized crosscorrelation technique. We report results of experimental validation on SPLab, Brno university database, which contains 971 transverse mode ultrasound images of the carotid artery. We achieve accurate carotid artery lumen intima detection in 97.63% of cases. In addition, for lumen intima layer segmentation we achieve an average Dice index of 94.83%.
UR - http://www.scopus.com/inward/record.url?scp=85062917896&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062917896&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2018.8451549
DO - 10.1109/ICIP.2018.8451549
M3 - Conference contribution
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 3493
EP - 3497
BT - 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PB - IEEE Computer Society
ER -