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
- Author(s)
- Kim, Jae Seong
- DGIST Authors
- Kim, Jae Seong ; Hwang, Jae Youn ; Im, Sunghoon
- Advisor
- 황재윤
- Co-Advisor(s)
- Im, Sunghoon
- Issued Date
- 2022
- Awarded Date
- 2022/02
- Type
- Thesis
- 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
- Degree
- Master
- Department
- Information and Communication Engineering
- Publisher
- DGIST
- Related Researcher
-
-
Hwang, Jae Youn
- Research Interests Multimodal Imaging; High-Frequency Ultrasound Microbeam; Ultrasound Imaging and Analysis; 스마트 헬스케어; Biomedical optical system
-
- Files in This Item:
-
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- Appears in Collections:
- Department of Electrical Engineering and Computer Science Theses Master
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