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Ultrasound B-scan image simulation, segmentation, and analysis of the equine tendon.
Meghoufel, Ali; Cloutier, Guy; Crevier-Denoix, Nathalie; de Guise, Jacques A.
Afiliação
  • Meghoufel A; Laboratoire de Recherche en Imagerie et Orthopédic, University of Montreal Hospital (CRCHUM), Montréal, Québec H2L 2W5, Canada. ali.meghoufel@etsmtl.ca
Med Phys ; 37(3): 1038-46, 2010 Mar.
Article em En | MEDLINE | ID: mdl-20384239
ABSTRACT

PURPOSE:

The hypothesis is that an imaging technique based on decompression and segmentation of B-scan images with morphological operators can provide a measurement of the integrity of equine tendons.

METHODS:

Two complementary approaches were used (i) Simulation of B-scan images to better understand the relationship between image properties and their underlying biological structural contents and (ii) extraction and quantification from B-scan images of tendon structures identified in step (i) to diagnose the status of the superficial digital flexor tendon (SDFT) by using the proposed imaging technique.

RESULTS:

The simulation results revealed that the interfascicular spaces surrounding fiber fascicle bundles were the source of ultrasound reflection and scattering. By extracting these fascicle bundles with the proposed imaging technique, quantitative results from clinical B-scan images of eight normal and five injured SDFTs revealed significant differences in fiber bundle number and areas mean values were 50 (+/- 11) and 1.33(+/- 0.36) mm2 for the normal SDFT data set. Different values were observed for injured SDFTs where the intact mean fiber bundle number decreased to 40 (+/- 7) (p = 0.016); inversely, mean fiber bundle areas increased to 1.83 (+/- 0.25) mm2 (p = 0.008), which indicate disruption of the thinnest interfascicular spaces and of their corresponding fiber fascicle bundles where lesions occurred.

CONCLUSIONS:

To conclude, this technique may provide a tool for the rapid assessment and characterization of tendon structures to enable clinical identification of the integrity of the SDFT.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tendões / Reconhecimento Automatizado de Padrão / Inteligência Artificial / Interpretação de Imagem Assistida por Computador / Imageamento Tridimensional / Modelos Biológicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals Idioma: En Revista: Med Phys Ano de publicação: 2010 Tipo de documento: Article País de afiliação: Canadá
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tendões / Reconhecimento Automatizado de Padrão / Inteligência Artificial / Interpretação de Imagem Assistida por Computador / Imageamento Tridimensional / Modelos Biológicos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals Idioma: En Revista: Med Phys Ano de publicação: 2010 Tipo de documento: Article País de afiliação: Canadá