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학술지 Enhanced Optical Coherence Tomography Imaging Using a Histogram-Based Denoising Algorithm
Cited 6 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
김거식, 박형준, 강현서
발행일
201511
출처
Optical Engineering, v.54 no.11, pp.1-4
ISSN
0091-3286
출판사
SPIE
DOI
https://dx.doi.org/10.1117/1.OE.54.11.113110
협약과제
15ZI2100, 지역산업연계 ICT 융합기술 산업화 지원 사업, 강현서
초록
A histogram-based denoising algorithm was developed to effectively reduce ghost artifact noise and enhance the quality of an optical coherence tomography (OCT) imaging system used to guide surgical instruments. The noise signal is iteratively detected by comparing the histogram of the ensemble average of all A-scans, and the ghost artifacts included in the noisy signal are removed separately from the raw signals using the polynomial curve fitting method. The devised algorithm was simulated with various noisy OCT images, and >87% of the ghost artifact noise was removed despite different locations. Our results show the feasibility of selectively and effectively removing ghost artifact noise.
키워드
curve fitting, ghost artifact, histogram-based, Optical imaging
KSP 제안 키워드
Curve fitting method, Denoising algorithm, Different locations, Histogram-based, Noisy signal, OCT images, Optical Coherence Tomography(OCT), Optical imaging, Polynomial curve fitting, Surgical instruments, Tomography imaging