Bat-inspired ultrasound 3D imaging system박쥐를 모방한 3차원 초음파 이미징 시스템

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In this paper, a bat-inspired high-resolution ultrasound 3D imaging system is presented. Live bats demonstrate that the properly used ultrasound can be used to perceive 3D space. With this in mind, a neural network referred to as a Bat-G network is implemented to reconstruct the 3D representation of target objects from the hyperbolic FM (HFM) chirped ultrasonic echoes. The Bat-G network consists of an encoder emulating a bat's central auditory pathway, and a 3D graphical visualization decoder. For the acquisition of the ultrasound data, a custom-made Bat-I sensor module is used. The Bat-G network shows the uniform 3D reconstruction results and achieves precision, recall, and F1-score of 0.896, 0.899, and 0.895, respectively. The experimental results demonstrate the implementation feasibility of a high-resolution non-optical sound-based imaging system being used by live bats.
Advisors
Bae, Hyeon-Minresearcher배현민researcher
Description
한국과학기술원 :전기및전자공학부,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2020.2,[v, 53 p. :]

Keywords

Bat▼aUltrasound Imaging▼a3D Imaging▼aArtificial Intelligence (AI)▼aNeural Network▼aDeep Learning; 박쥐▼a초음파 이미징▼a3차원 이미징▼a인공지능▼a뉴럴 네트워크▼a딥러닝

URI
http://hdl.handle.net/10203/284211
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=909448&flag=dissertation
Appears in Collection
EE-Theses_Ph.D.(박사논문)
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