OBJECTIVE The purpose of this article is to review the many evolving facets of MRI in the evaluation of prostate cancer. We will discuss the roles of multiparametric MRI, including diffusion-weighted MRI, dynamic contrast-enhanced MRI, and MR spectroscopy, as adjuncts to morphologic T2-weighted imaging in detection, staging, treatment planning, and surveillance of prostate cancer. CONCLUSION ...

Recent progress in imaging technologies leads to a continuous growth in biomedical data, which can provide better insight into important clinical and biological questions. Advanced machine learning techniques, such as artificial neural networks are brought to bear on addressing fundamental medical image computing challenges such as segmentation, classification and reconstruction, required for m...

Recent progress in imaging technologies leads to a continuous growth in biomedical data, which can provide better insight into important clinical and biological questions. Advanced machine learning techniques, such as artificial neural networks are brought to bear on addressing fundamental medical image computing challenges such as segmentation, classification and reconstruction, required for m...

INTRODUCTION: Quantification of cerebral blood flow using dynamic contrast enhanced (DCE) MRI [1] has several advantages over conventional dynamic susceptibility contrast (DSC) MRI [2]. Most importantly, DCE-MRI avoids the inherent susceptibility artifacts of DSC-MRI, thus allowing for more reliable measurement of the arterial input function (AIF) and quantification of blood brain barrier leaka...

OBJECTIVE This article is a primer on the technical aspects of performing a high-quality dynamic contrast-enhanced MRI (DCE-MRI) examination of the prostate gland. CONCLUSION DCE-MRI is emerging as a useful clinical technique as part of a multi-parametric approach for evaluating the extent of primary and recurrent prostate cancer. Performing a high-quality DCE-MRI examination requires a good ...

Compressed sensing (CS) has produced promising results on dynamic cardiac MR imaging by exploiting the sparsity in image series. In this paper, we propose a new method to improve the CS reconstruction for dynamic cardiac MRI based on the theory of structured sparse representation. The proposed method user the PCA subdictionaries for adaptive sparse representation and suppresses the sparse codin...

Objective: To determine if diffusion-weighted imaging (DWI) combined with conventional dynamic contrast-enhanced MRI examination is more sensitive than dynamic contrast-enhanced MRI alone in the detection of small hepatocellular carcinomas (HCCs). Design: Prospective analysis. Participants/Methods: This study was comprised of 37 patients with chronic liver disease suspected of having small HCCs...