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Dual-frequency Capsule Type Ultrasound Endoscopic System for Deep Learning-based High-resolution In-depth Imaging

Title
Dual-frequency Capsule Type Ultrasound Endoscopic System for Deep Learning-based High-resolution In-depth Imaging
Authors
Kim, Jae Seong
DGIST Authors
Kim, Jae Seong; Hwang, Jae YounIm, Sunghoon
Advisor(s)
황재윤
Co-Advisor(s)
Im, Sunghoon
Issue Date
2022
Available Date
2022-03-08
Degree Date
2022/02
Type
Thesis
Keywords
Ultrasound capsule endoscope, Ultrasound imaging, Dual-frequency, Deep learning
Description
Ultrasound capsule endoscope, Ultrasound imaging, Dual-frequency, Deep learning
Table Of Contents
I. Introduction 1 1.1 Motivation 1 1.2 Backgrounds 3 1.2.1 Basic principles of ultrasound 3 1.2.2 Ultrasound B-mode imaging 7 1.2.3 Image enhancement in ultrasound imaging 8 II. Materials and Methods 12 2.1 System configuration 12 2.2 Capsule design 15 2.3 Ultrasound transducer fabrication 17 2.4 Ultrasound imaging 20 2.5 Deep learning network 21 2.6 Quantitative analysis and Evaluation method 25 III. Results and Discussions 29 3.1 Evaluation of the proposed system 29 3.1.1 Penetration depth according to the center frequency 30 3.1.2 Spatial resolution 32 3.1.3 Quality improvement 33 3.1.4 Structural similarity index 36 IV. Conclusion 38 V. Reference 40 요 약 문 43
URI
http://dgist.dcollection.net/common/orgView/200000591941
http://hdl.handle.net/20.500.11750/16274
DOI
10.22677/thesis.200000591941
Degree
Master
Department
Information and Communication Engineering
University
DGIST
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
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Collection:
Department of Electrical Engineering and Computer ScienceThesesMaster


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