3D Detection of Spheric and Aspheric Femoral Heads in Coronal MR Images of Patients with Legg-Calve-Perthes Disease Using the Spherical Hough Transform

Abbas Memiş, S. Albayrak, F. Bilgili
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引用次数: 6

Abstract

This paper presents a study of 3D femoral head detection in coronal magnetic resonance (MR) imaging sequences to detect the spheric and aspheric femoral heads using the Spherical Hough Transform (SHT). Shape structure and functionality of the femoral head can be affected by a wide range of hip disorders. In most of the computerized analysis and assessment cases of the hip joint, segmentation of the proximal femur and femoral head is performed on the image sequences that are provided by the several medical imaging modalities. Determination of initial points, detection of the tissue boundaries and segmentation of the tissues are important challenges in automatic or semi-automatic proximal femur segmentation methods. In this paper, we aimed to perform a preliminary study based on 3D femoral head detection in bilateral MR hip images in coronal plane of patients with Legg-Calve-Perthes disease (LCPD). Firstly, MR sections are divided vertically into two equal halves automatically to separate the healthy and pathological hip joints and then Canny's edge detection method is performed to obtain edge images. Finally, 3D SHT is performed to detect the spherical structure of femoral heads. Automatic detection of the femoral head with SHT provides a starting point for the segmentation of the femoral head ball and proximal femur. Furthermore, it also allows for 3D segmentation of the femoral head sphere with the radius information that it provides with the 3D sphere center coordinates. Performance evaluations and experimental results observed on 8 bilateral MR imaging sequences belong to 6 subjects show that proposed method has promising results.
球面霍夫变换在legg - calf - perthes病患者冠状面MR图像中三维检测球形和非球面股骨头
本文研究了利用球面霍夫变换(SHT)在冠状磁共振(MR)成像序列中检测球形和非球面股骨头的三维方法。股骨头的形状、结构和功能可受到多种髋关节疾病的影响。在大多数髋关节的计算机分析和评估病例中,股骨近端和股骨头的分割是根据几种医学成像方式提供的图像序列进行的。在自动或半自动股骨近端分割方法中,初始点的确定、组织边界的检测和组织的分割是一个重要的挑战。在本文中,我们旨在对Legg-Calve-Perthes病(LCPD)患者的双侧MR髋关节冠状面三维股骨头检测进行初步研究。首先,将MR切片垂直自动分成两等分,将健康和病变的髋关节分开,然后使用Canny边缘检测方法获得边缘图像。最后,进行三维SHT检测股骨头的球形结构。用SHT自动检测股骨头为股骨头球和股骨近端分割提供了一个起点。此外,它还允许对股骨头球体进行三维分割,并提供三维球体中心坐标的半径信息。对6个受试者的8个双侧磁共振成像序列进行性能评价和实验结果表明,该方法具有良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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