Distortion-free 3D diffusion imaging of the prostate using a multishot diffusion-prepared phase-cycled acquisition and dictionary matching.

Purpose: To achieve three-dimensional (3D) distortion-free apparent diffusion coefficient (ADC) maps for prostate imaging using a multishot diffusion prepared-gradient echo (msDP-GRE) sequence and ADC dictionary matching.

Methods: The msDP-GRE sequence is combined with a 3D Cartesian, centric k-space trajectory with center oversampling. Oversampled k-space center averaging and phase cycling are used to address motion- and eddy current-induced magnitude corruption.

Accelerated 3D T w-imaging of the prostate with 1-millimeter isotropic resolution in less than 3 minutes.

Purpose: To achieve 3D T w imaging of the prostate with 1-mm isotropic resolution in less than 3 min.

Methods: We devised and implemented a 3D T -prepared multishot balanced steady state free precession (T prep-bSSFP) acquisition sequence with a variable density undersampled trajectory combined with a total variation regularized iterative SENSE (TV-SENSE) reconstruction. Prospectively undersampled images of the prostate (acceleration factor R = 3) were acquired in 11 healthy subjects in an institutional review board-approved study.

Quantifying Brain [F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data.

Full quantification of regional cerebral metabolic rate of glucose (rCMRglu) with [F]fluorodeoxy-glucose ([F]FDG) positron emission tomography (PET) imaging requires measurement of an arterial input function (AIF) curve, which is obtained with an invasive arterial blood sampling procedure during the scan. We previously proposed a non-invasive simultaneous estimation (nSIME) method that quantifies binding of a PET radioligand by combining individual electronic health records information and a pharmacokinetic AIF (PK-AIF) model. Initially applied only to [C]DASB data, in this study we validate nSIME for a different radioligand, [F]FDG, adapting the algorithm to the specific distribution and metabolism of this radioligand.

Accelerated 3D T mapping with dictionary-based matching for prostate imaging.

Purpose: To develop a fast and accurate method for 3D T mapping of prostate cancer using undersampled acquisition and dictionary-based fitting.

Methods: 3D high-resolution T -weighted images (0.9 × 0.

Imaging biomarkers in oncology: Basics and application to MRI.

Unlabelled: Cancer remains a global killer alongside cardiovascular disease. A better understanding of cancer biology has transformed its management with an increasing emphasis on a personalized approach, so-called "precision cancer medicine." Imaging has a key role to play in the management of cancer patients.

Non-invasive quantification of brain [¹⁸F]-FDG uptake by combining medical health records and dynamic PET imaging data.

Quantification of regional cerebral metabolic rate of glucose (rCMRglu) via positron emission tomography (PET) imaging requires measuring the arterial input function (AIF) via invasive arterial blood sampling. In this study we describe a non-invasive approach, the non-invasive simultaneous estimation (nSIME), for the estimation of rCMRglu that considers a pharmacokinetic input function model and constraints derived from machine learning applied to a fusion of individual medical health records and dynamic [(18)F]-FDG-PET brain images data. The results obtained with our data indicate potential for future clinical application of nSIME, with correlation measures of 0.