TY - JOUR
T1 - Tissue characterization with depthresolved attenuation coefficient and backscatter term in intravascular optical coherence tomography images
AU - Liu, Shengnan
AU - Sotomi, Yohei
AU - Eggermont, Jeroen
AU - Nakazawa, Gaku
AU - Torii, Sho
AU - Ijichi, Takeshi
AU - Onuma, Yoshinobu
AU - Serruys, Patrick W.
AU - Lelieveldt, Boudewijn P.F.
AU - Dijkstra, Jouke
PY - 2017
Y1 - 2017
N2 - An important application of intravascular optical coherence tomography (IVOCT) for atherosclerotic tissue analysis is using it to estimate attenuation and backscatter coefficients. This work aims at exploring the potential of the attenuation coefficient, a proposed backscatter term, and image intensities in distinguishing different atherosclerotic tissue types with a robust implementation of depth-resolved (DR) approach. Therefore, the DR model is introduced to estimate the attenuation coefficient and further extended to estimate the backscatter-related term in IVOCT images, such that values can be estimated per pixel without predefining any delineation for the estimation. In order to exclude noisy regions with a weak signal, an automated algorithm is implemented to determine the cut-off border in IVOCT images. The attenuation coefficient, backscatter term, and the image intensity are further analyzed in regions of interest, which have been delineated referring to their pathology counterparts. Local statistical values were reported and their distributions were further compared with a two-sample t -test to evaluate the potential for distinguishing six types of tissues. Results show that the IVOCT intensity, DR attenuation coefficient, and backscatter term extracted with the reported implementation are complementary to each other on characterizing six tissue types: mixed, calcification, fibrous, lipid-rich, macrophages, and necrotic core.
AB - An important application of intravascular optical coherence tomography (IVOCT) for atherosclerotic tissue analysis is using it to estimate attenuation and backscatter coefficients. This work aims at exploring the potential of the attenuation coefficient, a proposed backscatter term, and image intensities in distinguishing different atherosclerotic tissue types with a robust implementation of depth-resolved (DR) approach. Therefore, the DR model is introduced to estimate the attenuation coefficient and further extended to estimate the backscatter-related term in IVOCT images, such that values can be estimated per pixel without predefining any delineation for the estimation. In order to exclude noisy regions with a weak signal, an automated algorithm is implemented to determine the cut-off border in IVOCT images. The attenuation coefficient, backscatter term, and the image intensity are further analyzed in regions of interest, which have been delineated referring to their pathology counterparts. Local statistical values were reported and their distributions were further compared with a two-sample t -test to evaluate the potential for distinguishing six types of tissues. Results show that the IVOCT intensity, DR attenuation coefficient, and backscatter term extracted with the reported implementation are complementary to each other on characterizing six tissue types: mixed, calcification, fibrous, lipid-rich, macrophages, and necrotic core.
KW - attenuation coefficient
KW - backscatter term
KW - calcification
KW - depth-resolved
KW - fibrous
KW - intravascular optical coherence tomography
KW - lipid necrotic core
KW - macrophages
UR - http://www.scopus.com/inward/record.url?scp=85029799162&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:c8a45a09-a07f-468d-9f1f-4f4e33ebce12
U2 - 10.1117/1.JBO.22.9.096004
DO - 10.1117/1.JBO.22.9.096004
M3 - Article
C2 - 28901053
AN - SCOPUS:85029799162
SN - 1083-3668
VL - 22
SP - 1
EP - 16
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
IS - 9
M1 - 096004
ER -