서지주요정보
심혈관 질환 진단을 위한 초고속/다기능 광간섭단층촬영 시스템 개발 = Development of high-speed/multi-functional optical coherence tomography system for diagnosis of coronary artery disease
서명 / 저자 심혈관 질환 진단을 위한 초고속/다기능 광간섭단층촬영 시스템 개발 = Development of high-speed/multi-functional optical coherence tomography system for diagnosis of coronary artery disease / 조한샘.
발행사항 [대전 : 한국과학기술원, 2016].
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8028617

소장위치/청구기호

학술문화관(문화관)B1층 보존서고

DME 16022

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One of the leading causes of death is heart diseases and investigating of coronary artery wall is very important to diagnose these diseases. Intravascular optical coherence tomography(OCT) enables imaging of the three-dimensional structure of the vessel wall. However, the speed of wavelength swept laser and the rotational speed of scanning part in OCT system is not enough for get image frames densely. Also, imaging speed remains insufficient to avoid detrimental cardiac motion artifacts in images. A vulnerable plaque(lipid-rich and inflamed plaque) is difficult to be distinguished from intensity image of OCT because OCT cannot provides accurate chemical information of coronary artery wall. For overcoming these limitations, in this paper, we developed high-speed/high-resolution OCT system and OCT/NIRF fusion imaging system. As a result, the rotational speed of scanning part in high-speed OCT system is up to 350 RPS and we got the OCT images from in vivo rabbit stented aorta. It can provide the denser longitudinal imaging pitch (34 μm) pitch and it is about five times higher than the present commercial system’s longitudinal imaging pitch size in the same imaging time. To minimize the effect of cardiac motion in images, ECG-triggering device was invented and ultrahigh-speed scanning part(500 RPS) was developed. We got OCT images from in vivo swine stented coronary artery(70 mm pullback 0.7 s). The 3D reconstructions permitted detailed visualization of 3D architecture of the coronary arterial wall and fine structure of the implanted stent. To prove the OCT/NIRF fusion imaging system, we also imaged aorta of rabbit atheroma model in vivo and lipid-rich and inflamed plaques in aorta were detected well. Also, we got the OCT/NIRF images from in vivo diabetic swine coronary artery and it was verified that OCT/NIRF imaging system can classify atherosclerotic plaque types.

세계 주요사망원인중 하나로 심장 질환이 꼽히며 이 질환을 진단하기 위해서는 관상동맥 혈관벽을 잘 관찰하는 것이 중요하다. 혈관 내 광간섭단층촬영 시스템은 혈관벽을 3차원적으로 이미징이 가능하다. 하지만 파장가변레이저의 속도 및 스캐닝부의 속도가 빠르지 않아서 촘촘히 이미지 프레임을 얻기에 충분하지 않다. 또한 이미지 상에서 심장 박동에 의한 움직임을 피해 이미징 속도가 충분하지 않다. 한편 OCT는 혈관벽의 정확한 화학적 정보를 제공해주지 못하기 때문에 취약성 경화반(지질이 풍부하고 염증성이 있는 경화반)을 OCT 이미지로 구별하기는 쉽지 않다. 이러한 한계점을 극복하기 위해 본 연구에서는 고속/고해상도 OCT 이미징 시스템과 OCT/NIRF 융합 이미징 시스템을 개발하였다. 결과적으로 고속 OCT 이미징 시스템 내 스캐닝부의 속도는 350 RPS로 구현이 가능하였으며 살아있는 토끼 대동맥에 스텐트를 장착하여 이미징하였다. 이것은 촘촘한 혈관 종방향으로 이미징 간격(34 μm)을 제공하였고 이는 현재 상용 시스템보다 5배 빠른 속도이다. 또한 심장 박동에 의한 영향을 최소화하기 위해 심전도 트리거링 장치를 개발하고, 500 RPS의 빠른 속도의 스캐닝부를 구현하였다. 그 결과 살아있는 돼지 관상동맥에서 OCT 이미지(70mm 풀백, 0.7초)를 얻을 수 있었다. 3차원적 랜더링을 통해 관상동맥 혈관벽의 3차원 구조를 가시화하였고 장착된 스텐트의 미세 구조가 잘 보이는 것을 확인할 수 있었다. OCT/NIRF 융합 이미징 시스템을 검증하기 위해 살아있는 토끼 당뇨 모델을 이용하여 지질이 풍부하고 염증성이 있는 경화반을 잘 검출하는 것을 확인할 수 있었다. 또한 OCT/NIRF 이미지를 살아있는 돼지 당뇨 모델의 관상동맥 내에서도 이미지를 얻었고 OCT/NIRF 이미징 시스템으로 동맥경화반의 종류를 분류할 수 있음을 확인하였다.

서지기타정보

서지기타정보
청구기호 {DME 16022
형태사항 vi, 105 p. : 삽화 ; 30 cm
언어 한국어
일반주기 저자명의 영문표기 : Han Saem Cho
지도교수의 한글표기 : 오왕열
지도교수의 영문표기 : Wang-Yuhl Oh
학위논문 학위논문(박사) - 한국과학기술원 : 기계공학과,
서지주기 참고문헌 : p. 103-105
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이 주제의 인기대출도서

(a) The leading causes of death in Korea, 2014 (b) The specific causes of death in circulatory disease, 2014 (unit: person) [3]

The imaging techniques for coronary artery disease (a)Angiography (b)IVUS (c)OCT [4]

Features of vulnerable plaque[5]

Impact of pullback speed and frame rate on 3D image (A)pullback speed: 20 mm/s and frame rate: 160 f/s (B) pullback speed: 40 mm/s and frame rate: 160 f/s (C) pullback speed: 20 mm/s and frame rate: 100 f/s (D) pullback speed: 20 mm/s and frame rate:160 f/s[12]

Correlation between optical coherence tomography images (A, C, E) and histologic findings (B, D, F) of human coronary artery plaques (A) OCT image of a plaque consists mainly of fibrous tissue documented by histology (B) with subintimal calcifications (c). (C) OCT image of a predominantly fibrous plaque documented by histology (D). (E) OCT image of a plaque with a lipid pool (Ip) and an overlying

The Michelson Interferometel

Optical frequency domain imaging

The method for sweeping laser in wavelength domain

Sensitivity of 1G-OCT and 2G-OCT

The path of light in Fabry-Perot etalon

Phase difference between the successive rays in Fabry-Perot filter

Graphs of the Airy function giving the intensity distribution of fringes in multiple-beam interference

Ring shaped and tunable Fabry-Perot filter based Wavelength swept laser

Intravascular near-infrared fluorescence imaging system (NIRF imaging system)

Development and complications of atherosclerotic plaques. Illustration of longitudinal and transversal sections of an artery from the initiation of the lesion (1) to the thrombotic complications of atherosclerosis (5-7).[28]

Absorption and penetration depth in water and other biological tissue constituents for different wavelengths[23]

The scattering coefficient of tissue[24

Schematics of high-speed/high-resolution OCT system

Schematics of OCT/NIRF hybrid imaging system

Wavelength swept laser part

Scheme of fiber delay line

Modulated wavelength swept laser trace

Schematics of interferometer and detection part

The effect of frequency shifter

Balanced detection

Image processing part

The algorithm of intensity image generation

Core part of rotary junction

Drawings of imaging catheter

The result of the simulation by using ZEMAX

16 (a) Scheme of ECG-triggering circuit (b) Algorithm for auto-pullback

Optical design of hybrid rotary junction for OCT/NIRF system

Drawing of core part of hybrid rotary junction for OCT/NIRF system

Wavelength swept laser part

The spectrum of wavelength swept laser

Laser trace of wavelength swept laser

(a)lnterferometer (b) The result of measuring electrical spectrum(f=85 Mhz)

(a) Detection part (b) Interferogram

(a) Workstation for data acquisition (b) Real-time image software

7 (a) Alignment tool for rotary junction (b) Method for alignment of stationary part

(a) Core part of rotary junction (b) Rotary junction in case

(a) Core part of rotary junction (b) Rotary junction in pullback stage

(a) Polished ball lens (b) Imaging catheter (c) Sheath with cap

11 (a) Modified cap (b) Coronary artery phantom

12 (a)Device for controlling the exposed length of torque coil (b) Modified cap

13 (a) Cap adaptor (b) Inner part of Modified cap

14 (a)OCT/NIRF imaging system (b)OCT imaging system in OCT/NIRF system

(a) Laser trace and (b) Spectrum of OCT/NIRF imaging system

(a) core part of hybrid RJ and (b) Hybrid RJ for OCT/NIRF system

17 (a) Hybrid OCT/NIRF imaging catheter (b) Adaptor and cap

Measurement of sensitivity with calibration mirror

OCT image of human finger

3D volume-rendered intravascular OCT images acquired in vivo. (a) Longitudinal cutaway view of a 45-mm-long rabbit aorta acquired in 3.7 S with an imaging pitch of 34 nm (350 frames/s). Longitudinal cutaway views of the stented vessel segment with (b) 34 nm and (c) 200 nm longitudinal pitches, respectively. (d) Fly-through vieWS of the same stented vessel segment with (d) 34 in m and (e) 200 nm lo

Transverse and longitudinal OCT images: ECG-triggered high-speed protocol VS. conventional protocol (A)Angiography of a swine left anterior descending artery. Pullback segment (yellow double arrow) and stented segment (blue dashed line) are indicated. (B)Cross-sectional OCT images acquired with the ECG-triggered high-speed (500 RPS) protocol(493 A-lines/frame). (C) Cross-sectional OCT images acqui

(a) The relationship between the distance from catheter to fluorochromes and fluorescence intensity (b) NIRF imaigng with discretely filled NIR fluorochromes to ascertain axial resolution

assessment of synchronization between OCT and NIRF imaging system

Animal atheroma model for in vivo OCT/NIRF imaging

OCT/NIRF images of the aorta in an atheroma rabbit

In Vivo VS. ex Vivo signal co-localization

10 Diabetic swine model for OCT/NIRF imaging experiment

11 OCT/NIRF hybrid images of diabetic swine mode

Ex vivo FRI(Fluorescence reflectance Image) of swine coronary artery

13 Ex vivo FRI VS. in vivo NIRF signal of swine coronary artery

Classification of plaque type with OCT/NIRF hybrid images

15 Registration of OCT/NIRF and FM(fluorescence microscopy) onto histological sections

16 Stent-associated inflammation in OCT/NIRF hybrid images

OCT/NIRF image, FM image, and histological sections of stent-associated Inflammation