Using Marker‑Controlled Watershed Transform to Detect Baker’s Cyst in Magnetic Resonance Imaging Images: A Pilot Study
سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 57
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شناسه ملی سند علمی:
JR_JMSI-12-1_008
تاریخ نمایه سازی: 28 تیر 1402
چکیده مقاله:
Nowadays, magnetic resonance imaging (MRI) has a high ability to distinguish between soft
tissues because of high spatial resolution. Image processing is extensively used to extract clinical
data from imaging modalities. In the medical image processing field, the knee’s cyst (especially
Baker) segmentation is one of the novel research areas. There are different methods for image
segmentation. In this paper, the mathematical operation of the watershed algorithm is utilized
by MATLAB software based on marker‑controlled watershed segmentation for the detection of
Baker’s cyst in the knee’s joint MRI sagittal and axial T۲‑weighted images. The performance
of this algorithm was investigated, and the results showed that in a short time Baker’s cyst can
be clearly extracted from original images in axial and sagittal planes. The marker‑controlled
watershed segmentation was able to detect Baker’s cyst reliable and can save time and current
cost, especially in the absence of specialists it can help us for the easier diagnosis of MRI
pathologies.
کلیدواژه ها:
نویسندگان
Sadegh Ghaderian
Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran
Kayvan Ghaderi Daneshmand
Department of Information Technology and Computer Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj ۶۶۱۷۷-۱۵۱۷۵
Hamidreza Ghaznavi
Department of Radiology, Faculty of Paramedical Sciences, Kurdistan University of Medical Sciences, Sanandaj, Iran