Intravascular optical coherence tomography [Invited]

Bouma, Brett E.; Villiger, Martin; Otsuka, Kenichiro; Oh, Wang‐Yuhl

doi:10.1364/boe.8.002660

Cited by 73 publications

(48 citation statements)

References 113 publications

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“…Cardiovascular diseases (CVDs) are the leading cause of death worldwide . Introduction of intravascular optical coherence tomography (IVOCT) has largely advanced understanding and treatment of one of the most common CVDs, the coronary artery disease . Design of IVOCT enables visualization of superficial tissue structures of the arteries with resolution as high as 5–10 μm.…”

Section: Introductionmentioning

confidence: 99%

“…The use of IVOCT in clinical studies increases exponentially . Because of its high resolution, IVOCT contributed to confirmation of pathological findings on progression of (neo)atherosclerosis by visualizing morphologies like intimal erosion, fibrous plaque, calcified nodule, lipid pool, macrophages distribution, intraluminal thrombus, etc .…”

Section: Introductionmentioning

confidence: 99%

“…1 Introduction of intravascular optical coherence tomography (IVOCT) has largely advanced understanding and treatment of one of the most common CVDs, the coronary artery disease. [2][3][4][5] Design of IVOCT enables visualization of superficial tissue structures of the arteries with resolution as high as 5-10 lm. The wavelength of its light source is around 1300 nm, which permits a relatively deep penetration into the vessel wall.…”

Section: Introductionmentioning

confidence: 99%

“…The use of IVOCT in clinical studies increases exponentially. 2 Because of its high resolution, IVOCT contributed to confirmation of pathological findings on progression of (neo) atherosclerosis by visualizing morphologies like intimal erosion, fibrous plaque, calcified nodule, lipid pool, macrophages distribution, intraluminal thrombus, etc. [6][7][8][9][10][11][12] Attracted by the conspicuous clinical prospects, many efforts were paid to detection and characterization of IVOCT morphologies, such as fibrous, lipid-rich and calcified plaques, 13 macrophages distributions, 7 thrombus, 14 side branches, 15,16 struts [17][18][19] , and struts embedding 20 with image intensities, and/or optical parameters.…”

Section: Introductionmentioning

confidence: 99%

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Histogram‐based standardization of intravascular optical coherence tomography images acquired from different imaging systems

et al. 2018

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Purpose: Intravascular optical coherence tomography (OCT) is widely used for analysis of the coronary artery disease. Its high spatial resolution allows for visualization of arterial tissue components in detail. There are different OCT systems on the market, each of which produces data characterized by its own intensity range and distribution. These differences should be taken into account for the development of image processing algorithms. In order to overcome this difference in the intensity range and distribution, we developed a framework for matching intensities based on the exact histogram matching technique. Methods: In our method, the key step for using the exact histogram matching is to determine the target histogram. For this, we proposed two schemes: a global scheme that uses a single histogram as the target histogram for all the pullbacks, and a local scheme that selects for each single image a target histogram from a predefined database. These two schemes are compared on a unique dataset containing pairs of pullbacks that were acquired shortly after each other with systems from two vendors, St. Jude and Terumo. Pullbacks were aligned according to anatomical landmarks, and a database of matched histogram pairs was created. A leave-one-out cross validation was used to compare performance of the two schemes. The matching accuracy was evaluated by comparing: (a) histograms using Euclidean (d x2 ) and Kolmogorov-Smirnov (d KS ) distances, and (b) median intensity level within anatomical regions of interest. Results: Leave-one-out validation indicated that both matching schemes yield comparably high accuracies across the entire validation dataset. The local scheme outperforms the global scheme with marginally lower dissimilarities at both histogram level and intensity level. High visual similarity was observed when comparing the matched images to their aligned counterparts. Conclusion: Both local and global schemes are robust and produce accurate intensity matching. While local scheme performs marginally better than the global scheme, it requires a predefined histogram dataset and is more time consuming. Thus, for offline standardization of the images, the local scheme should be preferred for being more accurate. For online standardization or when another system is involved, the global scheme can be used as a simple and nearly-as-accurate alternative.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Histogram‐based standardization of intravascular optical coherence tomography images acquired from different imaging systems

et al. 2018

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“…While OCT has technological origins traceable to ultrafast laser development and fiber optic system test instrumentation of the 1980's, innovations in low coherence interferometry for optical ranging and imaging for biomedical applications in the U.S., Europe and Japan by the early 1990's led to coinage of the now widely known term OCT in 1991 [1]. As discussed in the following cited Invited Review and Invited Research articles in this issue, remarkable strides have since been made in OCT technology encompassing novel light sources [2], imaging system architectures [3,4], and sample/patient interface technologies including endoscopic [5], catheter-based [6], intra-operative [7], adaptive-optic [8][9][10], computational [11] and microscope-based [12] implementations. Functional extensions of OCT have been developed featuring polarization-based [13], Doppler [14], elastographic [15], tractographic [16], spectroscopic [17,18] multi-modal [19] and angiographic [8,20,21] contrast, the latter of which has taken on particular current excitement and topically comprises the plurality of articles published in this Issue.…”

mentioning

confidence: 99%

Introduction to the feature issue on the 25 year anniversary of optical coherence tomography

Izatt

Boppart

Bouma

et al. 2017

Biomed. Opt. Express

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Quantum Dots Emitting in the Third Biological Window as Bimodal Contrast Agents for Cardiovascular Imaging

Ortgies

Torres

et al. 2017

Adv Funct Materials

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Physicians are demanding innovative technologies for multimodal imaging of the cardiovascular system that would lead to the appearance of advanced diagnosis and therapy procedures. This implies the simultaneous development of new imaging techniques and contrast agents whose synergy would make it possible. Optical coherence tomography (OCT) has recently emerged as a versatile and high-resolution clinical technique for cardiovascular imaging. Unfortunately, the lack of adequate contrast agents impedes the use of OCT for intracoronary multimodal imaging. In this work, the hitherto unexplored capability of semiconductor quantum dots (IR-QDs) emitting in the third infrared biological window (1.55-1.87 µm) to act as multimodal agents for intracoronary imaging is demonstrated. Under single line laser excitation at 1.3 µm, IR-QDs are capable of providing simultaneous backscattering contrast and efficient luminescence at 1.6 µm. In this work, backscattered radiation is successfully employed to construct OCT images in both fluids and tissues whereas the infrared luminescence of the IR-QDs provides the possibility for simultaneous acquisition of high penetrating fluorescence images. The first multimodal (fluorescence + OCT) imaging of an artery using IR-QDs as contrast agents is provided herein demonstrating their outstanding potential for future clinical applications.

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Intravascular optical coherence tomography [Invited]

Cited by 73 publications

References 113 publications

Histogram‐based standardization of intravascular optical coherence tomography images acquired from different imaging systems

Histogram‐based standardization of intravascular optical coherence tomography images acquired from different imaging systems

Introduction to the feature issue on the 25 year anniversary of optical coherence tomography

Quantum Dots Emitting in the Third Biological Window as Bimodal Contrast Agents for Cardiovascular Imaging

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