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Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences.
Punithakumar, Kumaradevan; Ben Ayed, Ismail; Afshin, Mariam; Goela, Aashish; Islam, Ali; Li, Shuo; Boulanger, Pierre; Becher, Harald; Noga, Michelle.
Afiliação
  • Punithakumar K; Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada. Electronic address: punithak@ualberta.ca.
  • Ben Ayed I; Ecole de Technologie Superieure (ETS), University of Quebec, Montreal, QC, Canada.
  • Afshin M; Dept. of Medical Imaging, Sunnybrook Health Science Centre, Toronto, ON, Canada.
  • Goela A; London Health Sciences Centre, London, ON, Canada.
  • Islam A; St. Joseph's Health Care, London, ON, Canada.
  • Li S; Department of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada.
  • Boulanger P; Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada; Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada.
  • Becher H; Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada.
  • Noga M; Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada; Department of Radiology & Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
Comput Methods Programs Biomed ; 124: 58-66, 2016 Feb.
Article em En | MEDLINE | ID: mdl-26614019
ABSTRACT
UNLABELLED Anatomical cine cardiovascular magnetic resonance (CMR) imaging is widely used to assess the systolic cardiac function because of its high soft tissue contrast. Assessment of diastolic LV function has not regularly been performed due the complex and time consuming procedures. This study presents a semi-automated assessment of the left ventricular (LV) diastolic function using anatomical short-axis cine CMR images. The proposed method is based on three main

steps:

(1) non-rigid registration, which yields a sequence of endocardial boundary points over the cardiac cycle based on a user-provided contour on the first frame; (2) LV volume and filling rate computations over the cardiac cycle; and (3) automated detection of the peak values of early (E) and late ventricular (A) filling waves. In 47 patients cine CMR imaging and Doppler-echocardiographic imaging were performed. CMR measurements of peak values of the E and A waves as well as the deceleration time were compared with the corresponding values obtained in Doppler-Echocardiography. For the E/A ratio the proposed algorithm for CMR yielded a Cohen's kappa measure of 0.70 and a Gwet's AC1 coefficient of 0.70.

CONCLUSION:

Semi-automated assessment of the left ventricular (LV) diastolic function using anatomical short-axis cine CMR images provides mitral inflow measurements comparable to Doppler-Echocardiography.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Volume Sistólico / Reconhecimento Automatizado de Padrão / Interpretação de Imagem Assistida por Computador / Técnica de Subtração / Disfunção Ventricular Esquerda / Imagem Cinética por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Evaluation_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Volume Sistólico / Reconhecimento Automatizado de Padrão / Interpretação de Imagem Assistida por Computador / Técnica de Subtração / Disfunção Ventricular Esquerda / Imagem Cinética por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Evaluation_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Ano de publicação: 2016 Tipo de documento: Article