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Wide-Field 3D Ultrasound Imaging Platform with a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears

Title
Wide-Field 3D Ultrasound Imaging Platform with a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears
Authors
Lee, Moon HwanKim, Jun-YoungLee, KyungsuChoi, Chang-HyukHwang, Jae Youn
DGIST Authors
Lee, Moon Hwan; Kim, Jun-Young; Lee, Kyungsu; Choi, Chang-Hyuk; Hwang, Jae Youn
Issue Date
2020-04
Citation
IEEE Access, 8, 65472-65487
Type
Article
Article Type
Article
Author Keywords
Three-dimensional displaysUltrasonic imagingImage segmentationActive contoursMagnetic resonance imagingProbes3D ultrasoundrotator cuff tear3D image segmentationactive contour
Keywords
CAROTID PLAQUE VOLUMEDIAGNOSTIC-ACCURACYMR ARTHROGRAPHYBREAST-TUMORSHOULDERULTRASONOGRAPHYQUANTIFICATION
ISSN
2169-3536
Abstract
Rotator cuff tear (RCT) is a common injury that causes pain and disability in adults. The quantitative diagnosis of the RCT can be crucial in determining a treatment plan or monitoring treatment efficacy. Currently, only a few diagnosis tools, such as magnetic resonance imaging (MRI) and ultrasound imaging (US), are utilized for the diagnosis. Specifically, US exhibited comparable performance with MRI while offering a readily available diagnosis of RCTs at a lower cost. However, three-dimensional(3D) US and analysis of the regions are necessary to enable a better diagnosis of RCTs. Therefore, we developed a wide-field 3D US platform with a semi-automatic 3D image segmentation algorithm for 3D quantitative diagnosis of RCTs. The 3D US platform is built based on a conventional 2D US system and obtains 3D US images via linear scanning. With respect to 3D segmentation algorithm based on active contour model, frequency compounding and anisotropic diffusion methods were applied, and their effects on segmentation were discussed. The platform was used for clinical examination after evaluating the platform via the RCT-mimicking phantoms. As verified by the Dice coefficient(average DC: 0.663, volume DC: 0.723), which was approximately up to 50% higher than that obtained with conventional algorithms, the RCT regions segmented by the developed algorithm significantly matched the ground truth. The results indicated that the wide-field 3D US platform with the 3D segmentation algorithm can constitute a useful tool for improving the accuracy in the diagnosis of RCTs, and can eventually lead to better determination of treatment plans and surgical planning.
URI
http://hdl.handle.net/20.500.11750/11882
DOI
10.1109/ACCESS.2020.2985858
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Hwang, Jae Youn MBIS(Multimodal Biomedical Imaging and System) Laboratory
  • Research Interests Multimodal Imaging; High-Frequency Ultrasound Microbeam; Ultrasound Imaging and Analysis; 스마트 헬스케어; Biomedical optical system
Files:
Collection:
Department of Information and Communication EngineeringMBIS(Multimodal Biomedical Imaging and System) Laboratory1. Journal Articles


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