Exploring the complementarity of THz pulse imaging and DCE-MRIs: Toward a unified multi-channel classification and a deep learning framework

This work aims to establish first the application of THz pulse imaging and DCE-MRI imaging as complementary modalities to identify and assess disease proliferation. Examples from the literature are used to show the unique advantages but also limitations associated with each imaging technique. Second, the work aims to provide an account of recent advances in time series analysis and imaging, for both THz pulse and DCE-MRI imaging modalities, this establishes that both communities are facing similar problems at the pre-processing de-noising stage so that software standardization may be possible through the universal application of some of these algorithms.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research