Matada Mallikarjunaswamy Shivagangadharaiah, Holi Mallikarjun Sayabanna, Raman Rajesh, Jayaramu Suvarna Sujana Theja
Department of Electronics and Instrumentation, Sri Jayachamarajendra College of Engineering, J.S.S. Science and Technology University, Mysuru-570006, India.
Department of Electrical Instrumentation, University B.D.T. College of Engineering, Constituent College of VTU, Belagavi, Davangere-577 004, Karnataka, India.
Curr Med Imaging Rev. 2019;15(6):565-572. doi: 10.2174/1573405614666181018123251.
Osteoarthritis (OA) is a degenerative disease of joint cartilage affecting the elderly people around the world. Visualization and quantification of cartilage is very much essential for the assessment of OA and rehabilitation of the affected people. Magnetic Resonance Imaging (MRI) is the most widely used imaging modality in the treatment of knee joint diseases. But there are many challenges in proper visualization and quantification of articular cartilage using MRI. Volume rendering and 3D visualization can provide an overview of anatomy and disease condition of knee joint. In this work, cartilage is segmented from knee joint MRI, visualized in 3D using Volume of Interest (VOI) approach.
Visualization of cartilage helps in the assessment of cartilage degradation in diseased knee joints. Cartilage thickness and volume were quantified using image processing techniques in OA affected knee joints. Statistical analysis is carried out on processed data set consisting of 110 of knee joints which include male (56) and female (54) of normal (22) and different stages of OA (88). The differences in thickness and volume of cartilage were observed in cartilage in groups based on age, gender and BMI in normal and progressive OA knee joints.
The results show that size and volume of cartilage are found to be significantly low in OA as compared to normal knee joints. The cartilage thickness and volume is significantly low for people with age 50 years and above and Body Mass Index (BMI) equal and greater than 25. Cartilage volume correlates with the progression of the disease and can be used for the evaluation of the response to therapies.
The developed methods can be used as helping tool in the assessment of cartilage degradation in OA affected knee joint patients and treatment planning.
骨关节炎(OA)是一种影响全球老年人的关节软骨退行性疾病。软骨的可视化和量化对于评估OA以及受影响人群的康复至关重要。磁共振成像(MRI)是膝关节疾病治疗中使用最广泛的成像方式。但是,使用MRI对关节软骨进行适当的可视化和量化存在许多挑战。体绘制和三维可视化可以提供膝关节的解剖结构和疾病状况的概述。在这项工作中,从膝关节MRI中分割出软骨,使用感兴趣体积(VOI)方法进行三维可视化。
软骨的可视化有助于评估患病膝关节中软骨的退化情况。在OA受累的膝关节中,使用图像处理技术对软骨厚度和体积进行量化。对由110个膝关节组成的处理数据集进行统计分析,其中包括正常(22个)和不同阶段OA(88个)的男性(56个)和女性(54个)。在正常和进展性OA膝关节中,观察基于年龄、性别和BMI分组的软骨厚度和体积差异。
结果表明,与正常膝关节相比,OA患者的软骨大小和体积明显较低。年龄在50岁及以上且体重指数(BMI)等于或大于25的人群,其软骨厚度和体积明显较低。软骨体积与疾病进展相关,可用于评估治疗反应。
所开发的方法可作为评估OA受累膝关节患者软骨退化和治疗规划的辅助工具。