메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Myoung Hwan Choi (Kangwon National University)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2008
발행연도
2008.10
수록면
909 - 912 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

이 논문의 연구 히스토리 (3)

초록· 키워드

오류제보하기
Spatial compounding has been used in ultrasonic imaging for suppressing speckle noise. The technique generally involves electronically steering the ultrasonic beams. In this paper, we present a spatial compounding approach where the component image is acquired by mechanically rotating the probe element. A linear transducer array is rotated about an axis in the plane of the image. The goal is to avoid the problems associated with the electronic beam steering at a large angle such as decrease in the effective aperture size, grating lobe effect, and decrease in transducer sensitivity caused by obliquity factor. In the computation of the ultrasound image, we need the values of the axis of rotation and angular position of the transducer array. However, the construction of the rotation mechanism and the control system accompanies the inevitable uncertainties in these values. These parameter errors result in the target position error, and the consequence is the blurry compounded image. We present the spatial compounding for rotating linear probe in the presence of parameter error using image registration. The effect of the uncertainty in the mechanical parameters was compensated by registering the wire target images before spatial compounding. An efficient registration algorithm was developed to compute the transformation matrix required for the registration. The component images were registered by the transformation matrix before spatial compounding and the effect of the parameter errors were removed.

목차

Abstract
1. INTRODUCTION
2. SPATIAL COMPOUNDING SCHEME
3. EXPERIMENTAL RESULTS
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2014-569-000984042