Title :
Context-based interpolation of 3-D medical images
Author :
Alipour, Sahar ; Wu, Xiaolin ; Shirani, Shahram
Author_Institution :
Electr. & Comput. Eng. Program, McMaster Univ., Hamilton, ON, Canada
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
A context-based 3D interpolation technique is proposed to enhance the out-of plane resolution of 3D medical images. The proposed technique represents a new approach of aiding 3D interpolation and improving its performance by efficient use of domain knowledge about the anatomy, objects and imaging modalities. In the new approach a family of adaptive 3D interpolation filters are designed and conditioned on different spatial contexts (classes of feature vectors). Training is used to incorporate the domain knowledge into the design of these interpolators. Experimental results show significant improvement of the new approach over some existing 3D interpolation techniques.
Keywords :
feature extraction; image reconstruction; interpolation; medical image processing; 3D medical images; anatomy; context-based 3D interpolation; domain knowledge; feature vectors; imaging modalities; out-of plane resolution; Algorithm design and analysis; Biomedical imaging; Brain; Context; Interpolation; Three dimensional displays; Training; Humans; Imaging, Three-Dimensional; Magnetic Resonance Imaging;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627331