Study of an iterative super-resolution algorithm and its feasibility in high-resolution animal imaging with low-resolution SPECT cameras

IEEE Nuclear Science Symposium Conference Record

Volumn 6, Issue , 2007, Pages 4452-4456

  Caramelo, F J ^a   Almeida, G ^a   Mendes, L ^a   Ferreira, N C ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ENHANCEMENT; IMAGING TECHNIQUES; ITERATIVE METHODS; MEDICAL IMAGING; OPTICAL RESOLVING POWER; SET THEORY; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY;

ANIMAL IMAGING; HIGH RESOLUTIONS; HIGH-RESOLUTION IMAGING; ITERATIVE ALGORITHMS; LOW-RESOLUTION; NUCLEAR SCIENCES; SPECT IMAGING; SUPER RESOLUTIONS; TEST IMAGES;

LAWS AND LEGISLATION;

EID: 48149095666     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2007.4437099     Document Type: Conference Paper

References (4)

1. T S Huang et al., "Multiframe image restoration and registration", Adv Comput Vision Image Process 1:317-339, 1984
2. J. Kennedy et al., "Super-resolution in PET imaging", IEEE Trans. Medical Imaging vol 25, No. 2, Feb, 2006
3. A. Chatziioannou et al., "Techniques to Improve the Spatial Sampling of MicroPET - A High Resolution Animal PET Tomograph" IEEE Trans Nuclear Science, Vol 47, No 2, Apr 2000
4. F. J. Caramelo et al., "Image Reconstruction by Sinogram Decomposition into Sinusoidal Curves", Fully Three-Dimensional Image Reconstruction Meeting in Radiology and Nuclear Medicine, Salt Lake City, Utah, USA, July 6-9, 2005