Rapid image recognition of body parts scanned in computed tomography datasets

International Journal of Computer Assisted Radiology and Surgery

Volumn 5, Issue 5, 2010, Pages 527-535

  Dicken, Volker ^a   Lindow, B ^a   Bornemann, L ^a   Drexl, J ^a   Nikoubashman, A ^a   Peitgen, H O ^a  

^a FRAUNHOFER MEVIS   (Germany)

Author keywords

Anatomy; Body region; Classification; Computed tomography; Content based image retrieval; Database; Segmentation

Indexed keywords

ARTICLE; AUTOMATION; BODY REGIONS; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FEASIBILITY STUDY; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE RETRIEVAL; NOISE MEASUREMENT; PRIORITY JOURNAL; VALIDATION PROCESS; WHOLE BODY IMAGING;

EID: 77958151579     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-009-0403-1     Document Type: Article

References (6)

1. Greenspan H, Goldberger J, Ridel L (2001) A Continuous probabilistic framework for image matching. J Comput Vis Image Underst 84(3):384-406
2. Pinhas A, Greenspan H (2004) A continuous and probabilistic framework for medical image representation and categorization. In: Proceedings of SPIE, vol 5371, pp 230-238
3. Lehmann T, Wein B, Keysers D, Kohnen M, Schubert H (2002) A mono-hierarchical multi-axial classification code for medical images in content-based retrieval. In: Proceedings of the 1st IEEE International Symposium on biomedical imaging, pp 313-316
4. Deselaers T, Müller H, Clough P, Ney H, Lehmann TM (2007) The CLEF 2005 automatic medical image annotation task. Int J Comput Vis 74(1):51-58
5. Zhou X, Kamiya N, Hara T, Fujita H,YokoyamaR,Kiryu T, HoshiH (2004) Automated Recognition of Human Structure From Torso CT Images, VIIP. In: International Conference on Visualization, imaging and image processing. Marbella, Spain
6. MeVisLab, Software for Medical Image Processing and Visualization. http://www.mevislab.de