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Computer-based assessment for facioscapulohumeral dystrophy diagnosis.

Abstract：

:The paper presents a computer-based assessment for facioscapulohumeral dystrophy (FSHD) diagnosis through characterisation of the fat and oedema percentages in the muscle region. A novel multi-slice method for the muscle-region segmentation in the T1-weighted magnetic resonance images is proposed using principles of the live-wire technique to find the path representing the muscle-region border. For this purpose, an exponential cost function is used that incorporates the edge information obtained after applying the edge-enhancement algorithm formerly designed for the fingerprint enhancement. The difference between the automatic segmentation and manual segmentation performed by a medical specialists is characterised using the Zijdenbos similarity index, indicating a high accuracy of the proposed method. Finally, the fat and oedema are quantified from the muscle region in the T1-weighted and T2-STIR magnetic resonance images, respectively, using the fuzzy c-mean clustering approach for 10 FSHD patients.

journal_name

Comput Methods Programs Biomed

journal_title

Computer methods and programs in biomedicine

authors

Chambers O,Milenković J,Pražnikar A,Tasič JF

doi

10.1016/j.cmpb.2015.03.006

subject

Has Abstract

pub_date

2015-06-01 00:00:00

pages

37-48

issue

1

eissn

0169-2607

issn

1872-7565

pii

S0169-2607(15)00060-7

journal_volume

120

pub_type

杂志文章

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