In this contribution we introduce adaptive finite element methods for forward modeling in fluorescence optical tomography. Adaptive local mesh refinement increases the accuracy of...
Amit Joshi, Eva M. Sevick-Muraca, Alan B. Thompson...
Cortical surface parameterization has several applications in visualization and analysis of the brain surface. Here we propose a scheme for parameterizing the surface of the cereb...
Anand A. Joshi, Richard M. Leahy, Paul M. Thompson...
We present a general framework for image discrimination based on identifying small, localized differences between images. Our novel matching scheme is based on an alternate inform...
Huzefa Neemuchwala, Alfred O. Hero, Paul L. Carson...
Response of the autonomic nervous system can be assessed by quantifying the dilation of the pupil of a human placed in darkness. When the intensity of the surrounding light is low...
The interpretation of the EM tomography of microtubules is challenging due to the low SNR and low contrast of the volume data. Therefore, image enhancement is crucial for the subs...
Fluorescence microscopy is widely used to analyze the distribution of proteins within cells. As currently practiced, the assignment of a protein to a particular organelle is done ...
A new approach is presented for partitioning an image database by classifying and indexing the convex hull shapes and the number of region concavities. The result is a significant...
Despite its potential advantages for fMRI analysis, fuzzy C-means (FCM) clustering suffers from limitations such as the need for a priori knowledge of the number of clusters, and ...
This study uses a similarity-based elastography method to reconstruct elastic modulus values in a simulation of cancerous tumors in the breast. Four similarity metrics were compar...
Michael I. Miga, Megan Rothney, Chad W. Washington