DocumentCode :
2813510
Title :
Epiphyses Extraction Method Using Shape Information for Left Hand Radiography
Author :
Lee, Jong-Min ; Kim, Whoi-Yul
Author_Institution :
Div. of Electron. & Comput. Eng., Hanyang Univ., Seoul
fYear :
2008
fDate :
28-30 Aug. 2008
Firstpage :
319
Lastpage :
326
Abstract :
This paper details a epiphyseal/metaphyseal region of interest (EMROI) extraction method used for automated TW2 RUS. Several methods for automated bone age assessment using image processing have been developed but they have some limitations in assisting physicians efficiently. Also, a method is required that can extract the feature region robustly to gray value variation of background and the position and orientation of the hand. In order to overcome the limitation of previous methods and achieve robust feature region extraction, we propose an EMROI extraction method which contains the procedures from background removal to EMROI extraction. Each procedure is designed to resolve problems which may occur by variation of the position and orientation of the hand and bones. Through experiments, the proposed method resulted in over 91% correct extraction for TW2 RUS from 296 left hand radiograph data.
Keywords :
bone; diagnostic radiography; feature extraction; medical image processing; orthopaedics; TW2 RUS; background removal; bone age assessment; epiphyses extraction; feature region extraction; gray value variation; hand orientation; hand position; image processing; left hand radiography; metaphyseal region of interest extraction; shape information; Bones; Data mining; Feature extraction; Fingers; Humans; Image processing; Information technology; Radiography; Robustness; Shape; Bone age; EMROI; epiphysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICHIT '08. International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-0-7695-3328-5
Type :
conf
DOI :
10.1109/ICHIT.2008.232
Filename :
4622845
Link To Document :
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