Meeting Banner
Abstract #0011

Joint Reconstruction of Under-Sampled Multiple Contrast Images Using Mutual Information

Eric Wong1

1Radiology/Psychiatry, UC San Diego, La Jolla, CA, United States

In clinical MRI, images are often acquired of the same anatomy with multiple forms of contrast. Mutual information has long been used as a criterion for aligning images with different contrast, as it is high for any pair of aligned images. We explore here the maximization of mutual information as a criterion in the joint reconstruction of pairs of under-sampled images with different contrasts. For T1 and T2 weighted images that were under-sampled by a factor of 1.9, maximizing mutual information resulted in excellent reconstructions in less than one second of reconstruction time.

Abstract PDF Presentation Video

Keywords

addition aging anatomy avoid back beginning brain calculation chosen collected contain contrast contrasts currently decreasing demons density early easily entropy errors estimation even exam exists fast field form fully generate gradient gradients help hods imagined individual inform initial intensities intensity intro introduce investigation iterates iteration iterations joint jointly many marginal mates minim modified motivation move moving mutual note occurs origin pair parse partial pattern property psychiatry recently replaces residual resolution rows sampled scale scaled scanning schedules sensitivity simple smooth space step third turn types unction volume widely