Knee cartilage segmentation using active shape models and contrast enhancement from magnetic resonance images

被引：2

作者：

Gonzalez, German ^{[1
]}

Escalante-Ramirez, Boris ^{[2
]}

机构：

[1] Univ Nacl Autonoma Mexico, Posgrad Ingn Elect, Mexico City 04510, DF, Mexico

[2] Univ Nacl Autonoma Mexico, Fac Ingn, Dept Procesamiento Senales, Mexico City, DF, Mexico

来源：

IX INTERNATIONAL SEMINAR ON MEDICAL INFORMATION PROCESSING AND ANALYSIS | 2013年 / 8922卷

关键词：

Segmentation; Active Shape Models; Contrast Enhancement; Gaussian and Laplacian Pyramids; Image Fusion; OSTEOARTHRITIS; THICKNESS; MRI;

D O I：

10.1117/12.2035529

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, we take advantage from contrast characteristics of our magnetic resonance images improving the performance of Active Shape Models (ASM) applied on knee cartilage segmentation. We perform an image fusion-based contrast enhancement method using time series MRI T2. Then, we apply ASM algorithm and we compare results with ASM without contrast enhancement. The results show that the ASM with contrast enhancement performs better and is consistent. We validate these results using Dice coefficient and Hausdorff distance.

引用

页数：10

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