This paper proposes a U-Net-based deep learning architecture for the task of super-resolution lower resolution brain magnetic resonance images (MRI). The proposed system, called MRI-Net, is designed to learn mapping between low-resolution and high-resolution MRI images. system trained using 50-800 2D scans, depending on architecture, evaluated peak signal-to-noise ratio (PSNR) metrics 10 random...

PURPOSE To perform a systematic review to compare FDG-PET, CT, and MRI imaging for diagnosis of local residual or recurrent nasopharyngeal carcinoma. MATERIALS AND METHODS MEDLINE, EMBASE, the CBMdisc databases and some other databases were searched for relevant original articles published from January 1990 to June 2007. Inclusion criteria were as follows: Articles were reported in English or...

Carotid-femoral pulse wave velocity (PWV) is considered the gold-standard measurement of arterial stiffness. Obesity, however, can render inaccurate the measurement of PWV by external noninvasive devices. Phase-contrast MRI allows the determination of aortic PWV in multiple aortic locations with intra-arterial distance measurements, as well as the assessment of aortic mechanical properties. The...

With the ambitious aim to exploit the specific advantages of ultra-wideband (UWB) radio sensors for medical applications the project ultraMEDIS has been designed. The project focuses on the combination of UWB radar with magnetic resonance imaging, UWB radar based breast cancer detection, identification of various physiological signatures and the development of appropriate UWB antennas to accomp...

Background Fractional Flow Reserve (FFR) is an invasively determined index of the functional severity of an intermediate coronary stenosis by measuring the pressure drop across the lesion [1]. Noninvasive pressure gradient (ΔP) measurements using phase-contrast (PC)-MRI have been attempted in the aorta, carotid, and renal arteries [2-4]. The purpose of this study is to assess the reproducibilit...

OBJECTIVE The purpose of this article is to determine the feasibility of using computer-assisted diagnosis (CAD) techniques to automatically identify, localize, and measure body fat tissue from a rapid whole-body MRI examination. CONCLUSION Whole-body MRI in conjunction with CAD allows a fast, automatic, and accurate approach to body fat measurement and localization and can be a useful altern...

Introduction: Advanced quantitative information such as radiomics features derived from magnetic resonance (MR) image may be useful for outcome prediction, prognostic models or response biomarkers in Glioblastoma (GBM). The main aim of this study was to evaluate MRI radiomics features for recurrence prediction in glioblastoma multiform.   Materials and Methods:</str...

PURPOSE To evaluate whether pretreatment magnetic resonance imaging (MRI)/MR spectroscopic imaging (MRSI) findings and molecular markers in surgical specimens correlate with each other and with pretreatment clinical variables (biopsy Gleason score, clinical stage, and prostate-specific antigen level) and whether they contribute incremental value in predicting prostate cancer recurrence. EXPER...

Background In patients with PAD, ankle-brachial index (ABI) does not correlate well with time to claudication and lacks the ability to quantify tissue perfusion, therefore limiting the development of new therapies. Arterial spin labeling (ASL) MRI is a novel non-contrast technique that measures peak calf muscle perfusion noninvasively at a microvascular level. We sought to analyze the relations...