Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches

Tadashi Araki, P. Krishna Kumar, Harman S. Suri, Nobutaka Ikeda, Ajay Gupta, Luca Saba, Jeny Rajan, Francesco Lavra, Aditya M. Sharma, Shoaib Shafique, Andrew Nicolaides, John R. Laird, Jasjit S. Suri

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The degree of stenosis in the carotid artery can be predicted using automated carotid lumen diameter (LD) measured from B-mode ultrasound images. Systolic velocity-based methods for measurement of LD are subjective. With the advancement of high resolution imaging, image-based methods have started to emerge. However, they require robust image analysis for accurate LD measurement. This paper presents two different algorithms for automated segmentation of the lumen borders in carotid ultrasound images. Both algorithms are modeled as a two stage process. Stage one consists of a global-based model using scale-space framework for the extraction of the region of interest. This stage is common to both algorithms. Stage two is modeled using a local-based strategy that extracts the lumen interfaces. At this stage, the algorithm-1 is modeled as a region-based strategy using a classification framework, whereas the algorithm-2 is modeled as a boundary-based approach that uses the level set framework. Two sets of databases (DB), Japan DB (JDB) (202 patients, 404 images) and Hong Kong DB (HKDB) (50 patients, 300 images) were used in this study. Two trained neuroradiologists performed manual LD tracings. The mean automated LD measured was 6.35 ± 0.95 mm for JDB and 6.20 ± 1.35 mm for HKDB. The precision-of-merit was: 97.4 % and 98.0 % w.r.t to two manual tracings for JDB and 99.7 % and 97.9 % w.r.t to two manual tracings for HKDB. Statistical tests such as ANOVA, Chi-Squared, T-test, and Mann-Whitney test were conducted to show the stability and reliability of the automated techniques.

Original languageEnglish (US)
Article number182
JournalJournal of Medical Systems
Volume40
Issue number7
DOIs
StatePublished - Jul 1 2016

Fingerprint

Hong Kong
Japan
Databases
Ultrasonics
Statistical tests
Carotid Stenosis
Analysis of variance (ANOVA)
Image analysis
Analysis of Variance
Imaging techniques

Keywords

  • B-mode ultrasound
  • Boundary-based
  • Carotid artery
  • Classification
  • Level set segmentation
  • Lumen diameter
  • Region-based
  • Scale-space

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management

Cite this

Araki, T., Kumar, P. K., Suri, H. S., Ikeda, N., Gupta, A., Saba, L., ... Suri, J. S. (2016). Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches. Journal of Medical Systems, 40(7), [182]. https://doi.org/10.1007/s10916-016-0543-0

Two Automated Techniques for Carotid Lumen Diameter Measurement : Regional versus Boundary Approaches. / Araki, Tadashi; Kumar, P. Krishna; Suri, Harman S.; Ikeda, Nobutaka; Gupta, Ajay; Saba, Luca; Rajan, Jeny; Lavra, Francesco; Sharma, Aditya M.; Shafique, Shoaib; Nicolaides, Andrew; Laird, John R.; Suri, Jasjit S.

In: Journal of Medical Systems, Vol. 40, No. 7, 182, 01.07.2016.

Research output: Contribution to journalArticle

Araki, T, Kumar, PK, Suri, HS, Ikeda, N, Gupta, A, Saba, L, Rajan, J, Lavra, F, Sharma, AM, Shafique, S, Nicolaides, A, Laird, JR & Suri, JS 2016, 'Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches', Journal of Medical Systems, vol. 40, no. 7, 182. https://doi.org/10.1007/s10916-016-0543-0
Araki, Tadashi ; Kumar, P. Krishna ; Suri, Harman S. ; Ikeda, Nobutaka ; Gupta, Ajay ; Saba, Luca ; Rajan, Jeny ; Lavra, Francesco ; Sharma, Aditya M. ; Shafique, Shoaib ; Nicolaides, Andrew ; Laird, John R. ; Suri, Jasjit S. / Two Automated Techniques for Carotid Lumen Diameter Measurement : Regional versus Boundary Approaches. In: Journal of Medical Systems. 2016 ; Vol. 40, No. 7.
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