Raman Spectroscopy for Prostate Cancer Detection and Characterization

Abstract

GPU-based nonlinear model fitting optimizer called GPU-LMFit. We demonstrate the applications of GPU-LMFit in super resolution localization microscopy, fluorescence lifetime imaging microscopy, diffusion-weighted MRI (DW-MRI) and myocardial longitudinal relaxation time (T1) MRI using modified Look-Locker inversion recovery (MOLLI) based techniques. The results show that the use of GPU-LMFit can readily result in more than tens of times of speedup of parametric analyses in these techniques, compared with the software using CPU-only processing. An important example will be presented that when GPU-LMFit was used with a medium level GPU like Quadro K2000 for a DW-MRI image data set to reconstruct non-Gaussian diffusion parametric images, the results show that the images can be constructed up to 240x faster than with CPU processing alone. In this application, GPU-LMFit helps to reduce the time for DW-MRI processing from hours to seconds. Our results show the performance of GPU-LMFit is excellent to significantly improve the efficiency of parametric analyses and can thus be a useful tool to enable automated parametric imaging for real-time visualization, analysis and diagnostics.