Literature DB >> 22733861

Fully automated dual-snake formulation for carotid intima-media thickness measurement. A new approach.

Filippo Molinari1, Kristen M Meiburger, Luca Saba, Guang Zeng, U Rajendra Acharya, Mario Ledda, Andrew Nicolaides, Jasjit S Suri.   

Abstract

Automated computer-aided detection systems for measurement of the carotid intima-media thickness (IMT) are becoming popular. These systems yield lumen-intima (LI) and media-adventitia (MA) borders. In this work, we developed and validated a novel and patented completely automated IMT measurement system called carotid measurement using dual snakes (CMUDS): a class of AtheroEdge system (Global Biomedical Technologies, Inc, Roseville, CA). CMUDS is modeled as a dual parametric system corresponding to LI and MA borders with initialization from the far adventitia layer. The novelty of CMUDS is the first-order absolute moment-based external energy, which provides stable deformation. The dual snakes evolve simultaneously and are forced to maintain a regularized distance to prevent collapsing or bleeding. Two independent readers manually traced the LI/MA boundaries of a multi-institutional, multi-ethnic, and multi-scanner database of 665 longitudinal images for performance evaluation. CMUDS was also benchmarked against a previously developed automated technique. CMUDS correctly processed 660 images (99.2% success). The differences between the CMUDS and two manual IMT measurements (mean ± SD) were 0.013 ± 0.216 and -0.021 ± 0.197 mm, respectively. The corresponding figures of merit for CMUDS compared to reader tracings were 98.4% and 97.5%. Compared to the previous technique (IMT differences, 0.022 ± 0.276 and -0.012 ± 0.266 mm), CMUDS improved accuracy (Wilcoxon P < 0.009) and variability (Fisher P < 10(-8)). Among different resolution images from original equipment manufacturer ultrasound scanners, CMUDS performed best with high-resolution images corresponding to 0.0789 mm/pixel. Accuracy in IMT measurement with the proposed automated CMUDS technique makes this system adaptable to large multi-center studies, in which such an IMT measurement system would be very useful tool.

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Year:  2012        PMID: 22733861     DOI: 10.7863/jum.2012.31.7.1123

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  4 in total

1.  Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.

Authors:  Luca Saba; Pankaj K Jain; Harman S Suri; Nobutaka Ikeda; Tadashi Araki; Bikesh K Singh; Andrew Nicolaides; Shoaib Shafique; Ajay Gupta; John R Laird; Jasjit S Suri
Journal:  J Med Syst       Date:  2017-05-13       Impact factor: 4.460

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

Authors:  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
Journal:  J Med Syst       Date:  2016-06-14       Impact factor: 4.460

3.  Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.

Authors:  P Krishna Kumar; Tadashi Araki; Jeny Rajan; Luca Saba; Francesco Lavra; Nobutaka Ikeda; Aditya M Sharma; Shoaib Shafique; Andrew Nicolaides; John R Laird; Ajay Gupta; Jasjit S Suri
Journal:  Med Biol Eng Comput       Date:  2016-12-10       Impact factor: 2.602

4.  Ultrasound-based carotid stenosis measurement and risk stratification in diabetic cohort: a deep learning paradigm.

Authors:  Luca Saba; Mainak Biswas; Harman S Suri; Klaudija Viskovic; John R Laird; Elisa Cuadrado-Godia; Andrew Nicolaides; N N Khanna; Vijay Viswanathan; Jasjit S Suri
Journal:  Cardiovasc Diagn Ther       Date:  2019-10
  4 in total

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