Publication detail

Interactive segmentation of Hip Joint Cartilage

DVOŘÁK, P. JURÁŠ, V. VOGL, W. CHYTIL, J.

Original Title

Interactive segmentation of Hip Joint Cartilage

English Title

Interactive segmentation of Hip Joint Cartilage

Type

conference paper

Language

en

Original Abstract

This work deals with hip joint cartilage segmentation, which is an important task in joint diseases diagnosis. Since the manual segmentation commonly used nowadays, is a tedious and lengthy task, this work brings a new idea into its automation and simplification of the medical expert work. The proposed method is an interactive algorithm for hip joint cartilage segmentation, and hence it requires some user interaction, which is common and usually desired in medical image processing. The first step of the method is a selection of several points in several slices lying inside the cartilage. The purpose is a rough delimitation of the cartilage area. This delimitation is based on the assumption that the femoral head has approximately circular shape. The cartilage is then segmented using the combination of Graph Cut segmentation and K-means clustering techniques. The algorithm was tested on 3D isotropic True-FISP volumes of patients with femoroacetabular impingement and the results were evaluated by commonly used Dice Similarity Coefficient (0.62). The results of the segmentation will be prospectively used for the segmentation of quantitative MR maps (T1 and T2) in femoro-acetabular impingement (FAI) investigation.

English abstract

This work deals with hip joint cartilage segmentation, which is an important task in joint diseases diagnosis. Since the manual segmentation commonly used nowadays, is a tedious and lengthy task, this work brings a new idea into its automation and simplification of the medical expert work. The proposed method is an interactive algorithm for hip joint cartilage segmentation, and hence it requires some user interaction, which is common and usually desired in medical image processing. The first step of the method is a selection of several points in several slices lying inside the cartilage. The purpose is a rough delimitation of the cartilage area. This delimitation is based on the assumption that the femoral head has approximately circular shape. The cartilage is then segmented using the combination of Graph Cut segmentation and K-means clustering techniques. The algorithm was tested on 3D isotropic True-FISP volumes of patients with femoroacetabular impingement and the results were evaluated by commonly used Dice Similarity Coefficient (0.62). The results of the segmentation will be prospectively used for the segmentation of quantitative MR maps (T1 and T2) in femoro-acetabular impingement (FAI) investigation.

Keywords

Cartilage Segmentation, Hip Joint, MRI

RIV year

2014

Released

25.08.2014

Location

Guangzhou

ISBN

978-1-934142-28-8

Book

PIERS 2014 Guangzhou Proceedings

Pages from

2369

Pages to

2372

Pages count

4

BibTex


@inproceedings{BUT109142,
  author="Pavel {Dvořák} and Vladimír {Juráš} and Wolf-Dieter {Vogl} and Jiří {Chytil}",
  title="Interactive segmentation of Hip Joint Cartilage",
  annote="This work deals with hip joint cartilage segmentation, which is an important task in joint diseases diagnosis. Since the manual segmentation commonly used nowadays, is a tedious and lengthy task, this work brings a new idea into its automation and simplification of the medical expert work. The proposed method is an interactive algorithm for hip joint cartilage segmentation, and hence it requires some user interaction, which is common and usually desired in medical image processing. The first step of the method is a selection of several points in several slices lying inside the cartilage. The purpose is a rough delimitation of the cartilage area. This delimitation is based on the assumption that the femoral head has approximately circular shape. The cartilage is then segmented using the combination of Graph Cut segmentation and K-means clustering techniques. The algorithm was tested on 3D isotropic True-FISP volumes of patients with femoroacetabular impingement and the results were evaluated by commonly used Dice Similarity Coefficient (0.62). The results of the segmentation will be prospectively used for the segmentation of quantitative MR maps (T1 and T2) in femoro-acetabular impingement (FAI) investigation.",
  booktitle="PIERS 2014 Guangzhou Proceedings",
  chapter="109142",
  howpublished="online",
  year="2014",
  month="august",
  pages="2369--2372",
  type="conference paper"
}