Paper Info
Title
Boundary Delineation of Breast Lesions in Series of 2D Sonography by Modeling the Spatial-Temporal Prior and Cell-Based MAP Approach
Abstract
This paper proposes a general boundary delineation method for 2D serial US images by modeling the spatial-temporal dynamics and generating the object boundary in each slice under the cell-based MAP scheme. The modeling of the spatial-temporal dynamics can serve as a prior to guide the cell-based MAP process and potentially maintain the contextual coherence. Experiments have been conducted on 8 sets of compression breast series and 5 sets of freehand breast acquisitions. The computer-generated results by our algorithm are compared to manual delineations prepared by experts. The experimental results suggest that the boundaries of the proposed method are not significantly different to manual outlines and are quite stable in terms of reproducibility.
Year
DOI
Venue
2013
10.1109/ICIG.2013.183
ICIG
Keywords
Field
DocType
kalman filter,spatial-temporal prior,cell-based map approach,manual delineation,spatial-temporal dynamic,image segmentation,object boundary,biomedical ultrasonics,breast lesions,freehand breast acquisition,cancer,breast cancer,contextual coherence,image segmentation algorithm,computer-generated result,boundary delineation,ultrasound,cell-based map process,2d serial us images,medical image processing,2d sonography,map,spatial-temporal dynamic modeling,compression breast series,general boundary delineation method,cell-based map scheme,labeling,coherence
Computer vision,Reproducibility,Breast cancer,Pattern recognition,Computer science,Kalman filter,Image segmentation,Coherence (physics),Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Jie-Zhi Cheng110213.00
Chung-Ming Chen217616.17
Yi-Hong Chou3315.47
Wen-huang Cheng471573.78