Trabecular Bone Radiograph Characterization Using Lacunarity Measurement

被引：0

作者：

Slimi, Ines ^{[1
]}

Akkaril, Hanen ^{[1
]}

Ben Abdallahl, Asma ^{[1
]}

Bhouri, Imen ^{[2
]}

Lespessailles, Eric ^{[3
]}

Jennane, Rachid ^{[4
]}

Bedouil, Mohamed Hedi ^{[1
]}

机构：

[1] Univ Monastir, Fac Med, TIM, Lab Technol & Imagerie Med, Monastir, Tunisia

[2] Univ Monastir, Fac Sci, Unite Rech Ondelettes & Multifractals, Monastir, Tunisia

[3] Univ Orleans, Nouvel Hop, Ave Hop, F-45067 Orleans, France

[4] Univ Orleans, Lab I3MTO, EA 4708, Rue Chartres, F-45067 Orleans, France

来源：

2016 13TH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, IMAGING AND VISUALIZATION (CGIV) | 2016年

关键词：

Texture analysis; Lacunarity; Osteoporosis;

D O I：

10.1109/CGiV.2016.45

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Osteoporosis is a disease characterized by low bone mass and deterioration of micro-architectural bone tissue, which provokes an increased risk of fracture. This work treats the texture characterization of trabecular bone radiographs. The goal is to analyse according to clinical research a group of 174 subjects: 87 osteoporotic patients with various bone fracture types and 87 healthy subjects. In order to characterize osteoporosis, a method of lacunarity measurement for grayscale image is used. This approach allowed the discrimination between healthy subjects and patients with osteoporosis. The results show an improved classification rate compared to another work [1].

引用

页码：196 / 199

页数：4

共 14 条

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