Related Experiment Video
Updated: Feb 23, 2026

09:31
In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
Published on: March 30, 2015
9.3K
Tissue characterization with depth-resolved attenuation coefficient and backscatter term in intravascular optical
Shengnan Liu1, Yohei Sotomi2, Jeroen Eggermont1
1Leiden University Medical Center, Division of Imaging Processing, Department of Radiology, Leiden, The Netherlands.
Journal of Biomedical Optics
|September 14, 2017
Summary
This study introduces a depth-resolved (DR) model for intravascular optical coherence tomography (IVOCT) to analyze atherosclerotic plaque. The DR model effectively distinguishes six tissue types using attenuation, backscatter, and intensity for improved plaque characterization.
Area of Science:
- Biomedical Imaging
- Cardiovascular Research
- Optical Engineering
Background:
- Intravascular optical coherence tomography (IVOCT) is crucial for atherosclerotic tissue analysis.
- Estimating attenuation and backscatter coefficients is key for characterizing plaque composition.
- Current methods may lack precision in differentiating diverse tissue types within atherosclerotic plaques.
Purpose of the Study:
- To explore the potential of attenuation coefficient, a novel backscatter term, and image intensities in distinguishing atherosclerotic tissue types.
- To implement a robust depth-resolved (DR) approach for pixel-level estimation of these parameters.
- To develop an automated method for excluding noisy regions and accurately delineating tissue boundaries.
Main Methods:
- Introduced a depth-resolved (DR) model to estimate attenuation and backscatter coefficients in IVOCT images.
- Developed an automated algorithm to identify and exclude signal-weak, noisy regions.
- Analyzed local statistical values of attenuation coefficient, backscatter term, and image intensity in pathologically defined regions of interest.
- Utilized a two-sample t-test to compare distributions and evaluate tissue differentiation capabilities.
Main Results:
- The implemented DR model successfully estimated pixel-level attenuation and backscatter terms without prior delineation.
- An automated algorithm effectively determined cut-off borders, excluding noisy image regions.
- Analysis revealed that IVOCT intensity, DR attenuation coefficient, and backscatter term are complementary.
- These parameters demonstrated significant potential in characterizing six distinct tissue types: mixed, calcification, fibrous, lipid-rich, macrophages, and necrotic core.
Conclusions:
- The proposed DR model and associated parameters offer a robust method for detailed atherosclerotic plaque characterization using IVOCT.
- The complementary nature of intensity, attenuation, and backscatter enhances the ability to differentiate specific tissue components within plaques.
- This approach holds promise for improving diagnostic accuracy and guiding therapeutic strategies in cardiovascular disease.
Keywords:
attenuation coefficientbackscatter termcalcificationdepth-resolvedfibrousintravascular optical coherence tomographylipidnecrotic coreMore Related Videos
Related Concept Videos
Imaging Studies VII: Vascular Imaging
403
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
403
Imaging Studies for Cardiovascular System V: CT
406
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
406

