Paper Info
Title
Enhanced vascular and osseous information fusion: disagreement of quantitative and qualitative analysis
Abstract
The computer-aided algorithms are becoming indispensable in the field of digital subtraction angiography for better subsequent clinician diagnosis and feature extraction. These tools find widespread application for localization and highlighting potential malfunctioned sites and abnormal vascular pathology. For this purpose, an enhancement filter function based on Hessian matrix is often employed which produces a response close to ideal enhancement function in the literature. However, while predicting the abnormal pathology, both vessel and osseous details are elementary to patient diagnosis and treatment. In this manuscript, with an aim to parallelize the visualization of enhanced vessel details and osseous information for quick diagnosis, an image fusion algorithm is proposed based on the pre-enhancement of source images which generates highly pleasant visual results free from noise and ghostly artefacts outperforming the ten other image fusion techniques. Besides, this study presents a potential research challenge of disagreement between objective and subjective evaluation of fused image.
Year
DOI
Venue
2020
10.1007/s00521-019-04259-w
NEURAL COMPUTING & APPLICATIONS
Keywords
DocType
Volume
Osseous,Vascular,Aneurysms,Fusion,DSA,Hessian matrix
Journal
32.0
Issue
ISSN
Citations 
SP20
0941-0643
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Ayush Dogra1141.87
Bhawna Goyal2303.56
Sunil Agrawal3458.58
Urcun John Tanik451.44
Sanjeev Kumar500.34
Ramesh Sunder Nayak6121.59