Automatic hip abductor muscle fat fraction estimation and association with early OA cartilage degeneration biomarkers

Autor: Alan L. Zhang, Jinhee Lee, Sharmila Majumdar, Valentina Pedoia, Thomas M. Link, Richard B. Souza, Carla Kinnunen, Tijana Popovic, Radhika Tibrewala
Rok vydání: 2020
Předmět:
Zdroj: Journal of orthopaedic research : official publication of the Orthopaedic Research SocietyREFERENCES. 39(11)
ISSN: 1554-527X
Popis: The aim of this study was to develop an automatic segmentation method for hip abductor muscles and find their fat fraction associations with early stage hip osteoarthritis (OA) cartilage degeneration biomarkers. This Institutional Review Board approved, Health Insurance Portability and Accountability Act compliant prospective study recruited 61 patients with evidence of hip OA or Femoroacetabular Impingement (FAI). Magnetic Resonance (MR) images were acquired for cartilage segmentation, T1ρ and T2 relaxation times computation and grading of cartilage lesion scores. A 3D V-Net (Dice loss, Adam optimizer, learning rate=1e-4 , batch size=3) was trained to segment the 3 muscles (gluteus medius, gluteus minimus and tensor fascia latae). The V-Net performance was measured using Dice, distance maps between manual and automatic masks, and Bland-Altman plots of the fat fractions and volumes. Associations between muscle fat fraction and T1ρ , T2 relaxation times values were found using voxel based relaxometry (VBR). A p-value
Databáze: OpenAIRE