Atlas-based approach to MR intensity normalization, contrast synthesis, and inhomogeneity correction
Speaker: Jerry L. Prince , Johns Hopkins University
Date: October 7 2010
Time: 4:00PM to 5:00PM
Location: 32-D507
Host: Polina Golland, CSAIL
Contact: Polina Golland, x38005, polina@csail.mit.edu
Relevant URL: The intensity range and values of magnetic resonance images are not
standardized, are often corrupted by intensity inhomogeneities, and
have a tremendous variety of tissue contrasts created by different
pulse sequences. It is a constant challenge to design MR image
analysis algorithms that behave in a similar fashion within a given
scanner, across scanners, and between manufacturers. Although some
standardization is possible using special pulse sequences, it is rare
to find these in clinical or scientific use. We have developed an
atlas-based patch matching technique called MIMECS that promises to
break this problem wide open, first by finding a solution to the
normalization problem, and then by taking this basic idea much
farther. This talk goes over the basics of patch matching, revealing
how multi-image atlases provide the means to normalize data, change
tissue contrast (for example between pulse sequences), and remove
intensity inhomogeneities (in this case for challenging 7T images).
Currently, the methods are intended as a preprocessing stage for image
analysis, facilitating reliable results and permitting algorithm
reuse. The implications for developing new imaging techniques within
this context are intriguing, however, and thoughts and discussion on
this idea will be encouraged.
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