Near-Infrared Spectroscopy (NIRS): A Novel Tool for Intravascular Coronary Imaging

Bertrand, M; Lavoie-L'Allier, P.; Jean-ClaudeTardif,

doi:10.5772/67196

Cited by 3 publications

(3 citation statements)

References 118 publications

(179 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since fluorescence lifetime measurements are insensitive to light intensity sensing artifact, a potential technology for quantifying superficial macrophage infiltration based on FLIM would have significant advantage over other optical methods, including intravascular near infrared spectroscopy (NIRS) [34].…”

Section: Discussionmentioning

confidence: 99%

Automated detection of superficial macrophages in atherosclerotic plaques using autofluorescence lifetime imaging

et al. 2019

View full text Add to dashboard Cite

Background and aims-Macrophages play an important role in the development and destabilization of advanced atherosclerotic plaques. Hence, the clinical imaging of macrophage content in advanced plaques could potentially aid in identifying patients most at risk of future clinical events. The lifetime of the autofluorescence emission from atherosclerotic plaques has been correlated with lipids and macrophage accumulation in ex vivo human coronary arteries, suggesting the potential of intravascular endogenous fluorescence lifetime imaging (FLIM) for macrophage imaging. The aim of this study was to quantify the accuracy of the coronary intima autofluorescence lifetime to detect superficial macrophage accumulation in atherosclerotic plaques.

show abstract

Section: Discussionmentioning

confidence: 99%

Automated detection of superficial macrophages in atherosclerotic plaques using autofluorescence lifetime imaging

et al. 2019

View full text Add to dashboard Cite

show abstract

Section: Near-infrared Spectroscopy (Nirs)mentioning

confidence: 99%

“…© 2017 Bertrand MJ, Lavoie-L'Allier P, Tardif JC. Published in [15] under CC BY 3.0 license. Available from: http://dx.d.oi.org/10.5772/67196 morphology and composition have been found to have a high chance of being linked with ACSs in medical studies [22].…”

Section: Photoacoustic Imagingmentioning

confidence: 99%

Optical imaging techniques for vulnerable plaque detection

Eldomi

Zafar

Sengupta

et al. 2020

Transl Biophotonics

View full text Add to dashboard Cite

Vulnerable plaque rupture is the most important cause of myocardial infarction and acute coronary syndrome. Therefore, identifying vulnerable plaques is of prime importance, which will in turn aid in the development of treatments to stabilise them. Currently, there are a number of techniques to detect vulnerable plaques. This review article gives a brief understanding about the current optical imaging techniques used to detect vulnerable plaques. The methods used currently are spectroscopy, angioscopy, near-infrared spectroscopy, photoacoustic imaging and, optical coherence tomography. Moreover, this article aims at assessing the state-of-the-art optical imaging techniques used for vulnerable plaque detection.

show abstract

Cross-sectional angle prediction of lipid-rich and calcified tissue on computed tomography angiography images

Zhang,

Broersen,

Sokooti

et al. 2024

Int J CARS

View full text Add to dashboard Cite

Purpose The assessment of vulnerable plaque characteristics and distribution is important to stratify cardiovascular risk in a patient. Computed tomography angiography (CTA) offers a promising alternative to invasive imaging but is limited by the fact that the range of Hounsfield units (HU) in lipid-rich areas overlaps with the HU range in fibrotic tissue and that the HU range of calcified plaques overlaps with the contrast within the contrast-filled lumen. This paper is to investigate whether lipid-rich and calcified plaques can be detected more accurately on cross-sectional CTA images using deep learning methodology. Methods Two deep learning (DL) approaches are proposed, a 2.5D Dense U-Net and 2.5D Mask-RCNN, which separately perform the cross-sectional plaque detection in the Cartesian and polar domain. The spread-out view is used to evaluate and show the prediction result of the plaque regions. The accuracy and F1-score are calculated on a lesion level for the DL and conventional plaque detection methods. Results For the lipid-rich plaques, the median and mean values of the F1-score calculated by the two proposed DL methods on 91 lesions were approximately 6 and 3 times higher than those of the conventional method. For the calcified plaques, the F1-score of the proposed methods was comparable to those of the conventional method. The median F1-score of the Dense U-Net-based method was 3% higher than that of the conventional method. Conclusion The two methods proposed in this paper contribute to finer cross-sectional predictions of lipid-rich and calcified plaques compared to studies focusing only on longitudinal prediction. The angular prediction performance of the proposed methods outperforms the convincing conventional method for lipid-rich plaque and is comparable for calcified plaque.

show abstract

Near-Infrared Spectroscopy (NIRS): A Novel Tool for Intravascular Coronary Imaging

Cited by 3 publications

References 118 publications

Automated detection of superficial macrophages in atherosclerotic plaques using autofluorescence lifetime imaging

Automated detection of superficial macrophages in atherosclerotic plaques using autofluorescence lifetime imaging

Optical imaging techniques for vulnerable plaque detection

Cross-sectional angle prediction of lipid-rich and calcified tissue on computed tomography angiography images

Contact Info

Product

Resources

About