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Updated: Oct 3, 2026

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
Published on: June 24, 2025
Segmentation of avascular necrosis of the femoral head using 3-D MR images
R A Zoroofi1, T Nishii, Y Sato
1Department of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, PO Box 14395/515, Tehran, Iran. reza@image.med.osaka-u.ac.jp
Abstract:
Avascular necrosis of the femoral head (ANFH) is a common clinical disorder in the orthopedic field. Traditional approaches to study the extent of ANFH rely primarily on manual segmentation of clinical magnetic resonance images (MRI). However, manual segmentation is insufficient for quantitative evaluation and staging of ANFH. This paper presents a new computerized approach for segmentation of necrotic lesions of the femoral head. The segmentation method consists of several steps including histogram based thresholding, 3-D morphological operations, oblique data reconstruction, and 2-D ellipse fitting. The proposed technique is rapid and efficient. In addition, it is available as a Microsoft Windows free software package on the Internet. Feasibility of the method is demonstrated on the data sets of 30 patients (1500 MR images).
Insights
This study introduces a new computerized method for segmenting femoral head avascular necrosis (ANFH) from MRI scans. The technique offers a rapid and efficient solution for quantitative evaluation and staging of ANFH.
Area of Science:
- Orthopedics
- Medical Imaging
- Computer-Aided Diagnosis
Background:
- Avascular necrosis of the femoral head (ANFH) is a prevalent orthopedic condition.
- Current manual segmentation of MRI for ANFH lacks quantitative accuracy and efficiency.
- Accurate segmentation is crucial for disease staging and treatment planning.
Purpose of the Study:
- To develop and present a novel computerized approach for segmenting necrotic lesions in the femoral head.
- To provide an efficient and rapid tool for quantitative evaluation of ANFH.
- To offer a freely available software solution for ANFH segmentation.
Main Methods:
- The segmentation method integrates histogram-based thresholding, 3-D morphological operations, oblique data reconstruction, and 2-D ellipse fitting.
- The technique was applied to a dataset of 1500 MR images from 30 patients.
- A Microsoft Windows-compatible free software package was developed.
Main Results:
- The proposed computerized segmentation method is demonstrated to be rapid and efficient.
- The technique successfully segmented necrotic lesions in the femoral head.
- Feasibility was validated using a substantial dataset of patient MR images.
Conclusions:
- The developed computerized approach offers a significant improvement over manual segmentation for ANFH.
- This method enables more accurate quantitative evaluation and staging of avascular necrosis of the femoral head.
- The availability of the free software facilitates wider clinical adoption and research.
