Title

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

DGIST Authors

Kim, Jae Seong ; Hwang, Jae Youn ; Im, Sunghoon

Advisor

황재윤

Co-Advisor(s)

Im, Sunghoon

Issued Date

2022

Awarded Date

2022/02

Citation

Kim, Jae Seong. (2022). Dual-frequency Capsule Type Ultrasound Endoscopic System for Deep Learning-based High-resolution In-depth Imaging. doi: 10.22677/thesis.200000591941

Type

Thesis

Subject

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

Publisher

DGIST

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