Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images

J. R. Harish Kumar, Chandra Sekhar Seelamantula, Jasbon Andrade, K. V. Rajagopal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Pages3493-3497
Number of pages5
ISBN (Electronic)9781479970612
DOIs
Publication statusPublished - 29-08-2018
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: 07-10-201810-10-2018

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
CountryGreece
CityAthens
Period07-10-1810-10-18

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All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Harish Kumar, J. R., Seelamantula, C. S., Andrade, J., & Rajagopal, K. V. (2018). Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings (pp. 3493-3497). [8451549] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2018.8451549
Harish Kumar, J. R. ; Seelamantula, Chandra Sekhar ; Andrade, Jasbon ; Rajagopal, K. V. / Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images. 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings. IEEE Computer Society, 2018. pp. 3493-3497 (Proceedings - International Conference on Image Processing, ICIP).
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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{\%}.",
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Harish Kumar, JR, Seelamantula, CS, Andrade, J & Rajagopal, KV 2018, Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images. in 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings., 8451549, Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 3493-3497, 25th IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, 07-10-18. https://doi.org/10.1109/ICIP.2018.8451549

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 proceedingConference contribution

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Harish Kumar JR, Seelamantula CS, Andrade J, Rajagopal KV. Automatic Segmentation of Lumen Intima Layer in Transverse Mode Ultrasound Images. In 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). https://doi.org/10.1109/ICIP.2018.8451549