NDLI: Octree-Path-Chain Data Structure in a Knowledge-Based ICAS forNose-Nasal Surgery in Otolaryngology

Content Provider	IEEE Xplore Digital Library
Author	Ying Chen Jiadong Wang Jun Ni Lu Zhang
Copyright Year	2007
Description	Author affiliation: Shanghai Jiao Tong Univ., Shanghai (Ying Chen)
Abstract	Image-guided computer-aided surgery (ICAS) contributes to the safety and success of surgical operations by means of displaying anatomical structures and showing correlative information to surgeons while they perform an operation. Based on the analysis of the requirements for ICAS, this paper proposes a new concept of a medical-knowledge-based ICAS. The traditional data structure is limited in expressing and reusing the medical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative medical attributes. This paper outlines a data structure of the octree-path-chain, which can be linked to the relational graphics of anatomical structures and text databases of medical knowledge, and be used to efficiently locate an anatomical object in a given medical-image data set. The computing complexity and the efficiency of the data structures mentioned above were analyzed in theory and tested in experiments. Here, it is revealed that the octree-path-chain is superior to traditional data structures in real-time operations such as search, retrieval and measuring.
Starting Page	123
Ending Page	128
File Size	173792
Page Count	6
File Format	PDF
ISBN	9780769530390
DOI	10.1109/IMSCCS.2007.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics Computer displays Surgery Independent component analysis Anatomical structure Relational databases Data structures Safety Biomedical imaging Testing
Content Type	Text
Resource Type	Article

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