Document
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Automatic classification of atherosclerotic plaques imaged with intravascular OCT
type: Entity
page start: 4069
volume: 7
type: Thing
most specific type: Document
type: Article
abstract: Intravascular optical coherence tomography (IV-OCT) allows evaluation of atherosclerotic plaques; however, plaque characterization is performed by visual assessment and requires a trained expert for interpretation of the large data sets. Here, we present a novel computational method for automated IV-OCT plaque characterization. This method is based on the modeling of each A-line of an IV-OCT data set as a linear combination of a number of depth profiles. After estimating these depth profiles by means of an alternating least square optimization strategy, they are automatically classified to predefined tissue types based on their morphological characteristics. The performance of our proposed method was evaluated with IV-OCT scans of cadaveric human coronary arteries and corresponding tissue histopathology. Our results suggest that this methodology allows automated identification of fibrotic and lipid-containing plaques. Moreover, this novel computational method has the potential to enable high throughput atherosclerotic plaque characterization. © 2016 Optical Society of America.
origen: scopus
related by: authorship_27223
most specific type: Article
related by: authorship_27224
issue: 10
e iscopus: 2-s2.0-84990068240
chemicalscas: lipid, 66455-18-3
related by: authorship_27225
crisid: 4632
freetext keyword: Image analysis; Medical and biological imaging; Optical coherence tomography; Pattern recognition; Tissue characterization Characterization; Computational methods; Image analysis; Image classification; Medical imaging; Pattern recognition; Tissue; Alternating least squares; Automated identification; Automatic classification; Human coronary arteries; Medical and biological imaging; Morphological characteristic; Plaque characterizations; Tissue characterization; Optical tomography; lipid; algorithm; Article; atherosclerotic plaque; cell structure; coronary artery; entropy; histopathology; human; human tissue; mathematical computing; optical coherence tomography; polarization; process optimization; sensitivity and specificity; validation process
page end: 4085
doi: 10.1364/BOE.7.004069
related by: authorship_27226
type: Document
type: Generically Dependent Continuant
artnum: #272452
has funding vehicle: National Institute of Biomedical Imaging and Bioengineering, NIBIB: P41EB015903
related by: authorship_27227
type: Continuant
related by: authorship_27228
accesstype: All Open Access, Bronze, Green
estado: published
type: Information Content Entity
has publication venue: Biomedical Optics Express
has funding vehicle: National Heart, Lung, and Blood Institute, NHLBI: 1R01HL111361
date time value: article date 4632

Continuant
type: Class

National Institute of Biomedical Imaging and Bioengineering, NIBIB: P41EB015903
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type: BFO_0000020
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type: Thing
type: Grant
type: Continuant
funding vehicle for: Automatic classification of atherosclerotic plaques imaged with intravascular OCT

Entity
type: Class

National Heart, Lung, and Blood Institute, NHLBI: 1R01HL111361
type: Relationship
type: BFO_0000020
type: Entity
type: Thing
type: Grant
type: Continuant
funding vehicle for: Automatic classification of atherosclerotic plaques imaged with intravascular OCT

Generically Dependent Continuant
type: Class

RDF description of Automatic classification of atherosclerotic plaques imaged with intravascular OCT - http://orbis.uaslp.mx/vivo/individual/scopus4631
rights: termsOfUse
date: 2026-08-27T06:05:17
publisher: vivo
type: Document

Article
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Information Content Entity
type: Class

Biomedical Optics Express
type: Collection
type: Periodical
type: Continuant
type: Generically Dependent Continuant
type: Information Content Entity
type: Journal
type: Thing
type: Entity
publication venue for: Automatic classification of atherosclerotic plaques imaged with intravascular OCT
type: Document