DocumentCode :
739306
Title :
Digital Topology and Geometry in Medical Imaging: A Survey
Author :
Saha, Punam K. ; Strand, Robin ; Borgefors, Gunilla
Author_Institution :
Depts. of Electr. & Comput. Eng. & Radiol., Univ. of Iowa, Iowa City, IA, USA
Volume :
34
Issue :
9
fYear :
2015
Firstpage :
1940
Lastpage :
1964
Abstract :
Digital topology and geometry refers to the use of topologic and geometric properties and features for images defined in digital grids. Such methods have been widely used in many medical imaging applications, including image segmentation, visualization, manipulation, interpolation, registration, surface-tracking, object representation, correction, quantitative morphometry etc. Digital topology and geometry play important roles in medical imaging research by enriching the scope of target outcomes and by adding strong theoretical foundations with enhanced stability, fidelity, and efficiency. This paper presents a comprehensive yet compact survey on results, principles, and insights of methods related to digital topology and geometry with strong emphasis on understanding their roles in various medical imaging applications. Specifically, this paper reviews methods related to distance analysis and path propagation, connectivity, surface-tracking, image segmentation, boundary and centerline detection, topology preservation and local topological properties, skeletonization, and object representation, correction, and quantitative morphometry. A common thread among the topics reviewed in this paper is that their theory and algorithms use the principle of digital path connectivity, path propagation, and neighborhood analysis.
Keywords :
geometry; image registration; image segmentation; medical image processing; reviews; topology; boundary detection; centerline detection; digital topology; enhanced fidelity; enhanced stability; geometric properties; image interpolation; image manipulation; image registration; image segmentation; image visualization; local topological properties; medical imaging applications; neighborhood analysis; object representation; path propagation; principle of digital path connectivity; quantitative morphometry; reviews; surface-tracking; topology preservation; Biomedical imaging; Cavity resonators; Digital images; Geometry; Interpolation; Topology; Transforms; Connected operators; connectivity and tracking; digital topology and geometry; distance transform; local topology; minimal path; object characterization; simple point; skeletonization; watersheds;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2015.2417112
Filename :
7086076
Link To Document :
بازگشت