Home
Registration
Super-Resolution
Bacteria Identification
Doppler analysis
MSL segmentation
CGMM
X-ray classification
Cervigrams
Image Clustering
Video Indexing
Object tracking
Gmm&Edge

 

Overview

MRI reconstruction using super-resolution is presented and shown to improve spatial resolution in cases when spatially-selective RF pulses are used for localization. In 2-D multislice MRI, the resolution in the slice direction is often lower than the in-plane resolution. For certain diagnostic imaging applications, isotropic resolution is necessary but true 3-D acquisition methods are not practical. In this case, if the imaging volume is acquired two or more times, with small spatial shifts between acquisitions, combination of the data sets using an iterative super-resolution algorithm gives improved resolution and better edge definition in the slice-select direction. Resolution augmentation in MRI is important for visualization and early diagnosis. The method also improves the signal-to-noise efficiency of the data acquisition.

 

  Examples of Super-Resolution in MRI

Pomegranate

Papaya

Comb

Head

Publications

bulletH. Greenspan, G. Oz, N. Kiryati  and S.  Peled,
``MRI Inter-Slice Reconstruction Using Super Resolution”, Magnetic Resonance Imaging 20: 437-446, 2002. (pdf)

 

horizontal rule

Home Registration Super-Resolution Bacteria Identification Doppler analysis MSL segmentation CGMM X-ray classification Cervigrams Image Clustering Video Indexing Object tracking Gmm&Edge

For problems or questions regarding this web page contact hayit@eng.tau.ac.il.
Last updated: 01/07/08.