Research Papers: Imaging

Neuromuscular disease classification system

[+] Author Affiliations
Aurora Sáez, Begoña Acha, Carmen Serrano

University of Seville, Department of Signal Theory and Communications, ETSI, 41092, Seville, Spain

Adoración Montero-Sánchez, Luis M. Escudero

Rocío/CSIC/Universidad de Sevilla, Hospital Universitario Virgen del, Instituto de Biomedicina de Sevilla, 41013, Seville, Spain

Eloy Rivas

Hospital Universitario Virgen del Rocío, Department of Pathology, 41013, Seville, Spain

J. Biomed. Opt. 18(6), 066017 (Jun 26, 2013). doi:10.1117/1.JBO.18.6.066017
History: Received January 30, 2013; Revised May 13, 2013; Accepted May 20, 2013
Text Size: A A A

Abstract.  Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and neurogenic atrophies through muscle biopsy images of fluorescence microscopy is presented. The procedure starts with an accurate segmentation of the muscle fibers using mathematical morphology and a watershed transform. A feature extraction step is carried out in two parts: 24 features that pathologists take into account to diagnose the diseases and 58 structural features that the human eye cannot see, based on the assumption that the biopsy is considered as a graph, where the nodes are represented by each fiber, and two nodes are connected if two fibers are adjacent. A feature selection using sequential forward selection and sequential backward selection methods, a classification using a Fuzzy ARTMAP neural network, and a study of grading the severity are performed on these two sets of features. A database consisting of 91 images was used: 71 images for the training step and 20 as the test. A classification error of 0% was obtained. It is concluded that the addition of features undetectable by the human visual inspection improves the categorization of atrophic patterns.

Figures in this Article
© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Aurora Sáez ; Begoña Acha ; Adoración Montero-Sánchez ; Eloy Rivas ; Luis M. Escudero, et al.
"Neuromuscular disease classification system", J. Biomed. Opt. 18(6), 066017 (Jun 26, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.6.066017


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.