Paper Info
Title
A New Framework for the Integrative Analytics of Intravascular Ultrasound and Optical Coherence Tomography Images
Abstract
The integrative analysis of multimodal medical images plays an important role in the diagnosis of coronary artery disease by providing additional comprehensive information that cannot be found in an individual source image. Intravascular ultrasound (IVUS) and optical coherence tomography (IV-OCT) are two imaging modalities that have been widely used in the medical practice for the assessment of arterial health and the detection of vascular lumen lesions. IV-OCT has a high resolution and poor penetration, while IVUS has a low resolution and high detection depth. This paper proposes a new approach for the fusion of intravascular ultrasound and optical coherence tomography pullbacks to significantly improve the use of those two types of medical images. It also presents a new two-phase multimodal fusion framework using a coarse-to-fme registration and a wavelet fusion method. In the coarse-registration process, we define a set of new feature points to match the IVUS image and IV-OCT image. Then, the improved quality image is obtained based on the integration of the mutual information of two types of images. Finally, the matched registered images are fused with an approach based on the new proposed wavelet algorithm. The experimental results demonstrate the performance of the proposed new approach for significantly enhancing both the precision and computational stability. The proposed approach is shown to be promising for providing additional information to enhance the diagnosis and enable a deeper understanding of atherosclerosis.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2839694
IEEE ACCESS
Keywords
Field
DocType
Intravascular ultrasound (IVUS),optical coherence tomography (OCT),wavelet fusion,mutual information registration,feature registration
Computer vision,Optical coherence tomography,Intravascular ultrasound,Computer science,Medical imaging,Feature extraction,Mutual information,Artificial intelligence,Analytics,Image registration,Distributed computing,Wavelet
Journal
Volume
ISSN
Citations 
6
2169-3536
1
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Chenxi Huang133.14
Yuan Xie210.34
Yisha Lan352.74
Yongtao Hao4212.35
Fei Chen52116.74
Yongqiang Cheng613329.99
Yonghong Peng740033.39