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Automated segmentation and shape analysis for detecting early structural hip changes in osteoarthritis

thesis
posted on 2020-12-17, 23:01 authored by NAJINI SATHISHKA HARISCHANDRA KORALE ARACHCHIGE
This study presented a series of enhanced methodologies to automatically segment and analyze bone and the cartilage tissue of the hip joint from routine clinical MRIs taken from osteoarthritis patients. Further, the segmented 3D bone surfaces were used to explore the associations between bone shape and the early hip joint degeneration patterns. The proposed methods were able to automatically segment the hip bones and cartilage tissue with high accuracy from MRIs. The results indicated that the bone shape is a significant factor in early osteoarthritis.

History

Campus location

Malaysia

Principal supervisor

Anuja Dharmaratne

Additional supervisor 1

Flavia Cicuttini

Additional supervisor 2

Yuan Yuan Wang

Year of Award

2020

Department, School or Centre

School of Information Technology (Monash University Malaysia)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology