Paper Info
Title
Liver whole slide image analysis for 3D vessel reconstruction
Abstract
The emergence of digital pathology has enabled numerous quantitative analyses of histopathology structures. However, most pathology image analyses are limited to two-dimensional datasets, resulting in substantial information loss and incomplete interpretation. To address this, we have developed a complete framework for three-dimensional whole slide image analysis and demonstrated its efficacy on 3D vessel structure analysis with liver tissue sections. The proposed workflow includes components on image registration, vessel segmentation, vessel cross-section association, object interpolation, and volumetric rendering. For 3D vessel reconstruction, a cost function is formulated based on shape descriptors, spatial similarity and trajectory smoothness by taking into account four vessel association scenarios. An efficient entropy-based Relaxed Integer Programming (eRIP) method is proposed to identify the optimal inter-frame vessel associations. The reconstructed 3D vessels are both quantitatively and qualitatively validated. Evaluation results demonstrate high efficiency and accuracy of the proposed method, suggesting its promise to support further 3D vessel analysis with whole slide images.
Year
DOI
Venue
2015
10.1109/ISBI.2015.7163845
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Keywords
Field
DocType
Whole Slide Image Analysis,3D Vessel Analysis,Vessel Reconstruction,Digital Pathology
Iterative reconstruction,Computer vision,Volume rendering,Pattern recognition,Computer science,Interpolation,Digital pathology,Image segmentation,Artificial intelligence,Smoothness,Image registration,Trajectory
Conference
Volume
ISSN
Citations 
2015
1945-7928
4
PageRank 
References 
Authors
0.43
6
7
Name
Order
Citations
PageRank
Yanhui Liang1166.50
Fusheng Wang2173.14
Darren Treanor312113.20
Derek R. Magee436335.94
George Teodoro515022.18
Yangyang Zhu650.79
Jun Kong710617.74