Results 151 to 160 of about 8,831 (260)

Machine learning model for fast prediction and uncertainty quantification of needle deflection during prostate biopsy. [PDF]

Med Phys
Hoffman N, Al-Zogbi L, Krieger A, Tokuda J, Moreira P, Fuge M.   +5 more
europepmc   +1 more source

Respiratory Motion‐Corrected Model‐Based 3D Water‐Fat MRA of the Thorax at 0.55 T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The goal of this study was to develop a 5‐min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water‐fat separation. Methods For full data efficiency, the proposed method combined self‐gating with retrospective motion correction while ensuring a predictable 5‐min scan time.
Robert Stoll, Christoph Kolbitsch, Michaela Schmidt, Marcel Dominik Nickel, Tobias Schaeffter, Daniel Giese   +5 more
wiley   +1 more source

Evaluating Mineral Deposition in Bone-Regenerative Collagen-Based Scaffolds Using High-Resolution microCT and 3D Computational Segmentation. [PDF]

Curr Protoc
Kang Y, Shariati K, Cascavita CT, Ren X, Harley BAC, Xu S, Lee JC.   +6 more
europepmc   +1 more source

K‐CC‐MoCo: A Fast k‐Space‐Based Respiratory Motion Correction for Highly Accelerated First‐Pass Perfusion Cardiovascular MR

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose First‐pass perfusion cardiovascular MR (FPP‐CMR) enables the non‐invasive diagnosis of microcirculation and coronary artery disease. In free‐breathing FPP‐CMR, motion correction is usually performed in the image domain, requiring an initial reconstruction.
Elisa Moya‐Sáez, Rosa‐María Menchón‐Lara, Javier Sánchez‐González, Catarina N. Carvalho, Andreia S. Gaspar, Carlos Real, Carlos Galán‐Arriola, Rita G. Nunes, Borja Ibanez, Teresa M. Correia, Carlos Alberola‐López   +10 more
wiley   +1 more source

3D Whole-Heart Joint T₁/T_1ρ Mapping and Water-Fat Imaging on a Clinical 0.55-T Low-Field Scanner. [PDF]

NMR Biomed
Crabb MG, Kunze KP, Castillo-Passi C, Si D, Littlewood SJ, Prieto C, Botnar RM.   +6 more
europepmc   +1 more source

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul, Cecilia Liang, Isabelle Loster, Lavanya Umapathy, Bernd Kühn, Petros Martirosian, Ferdinand Seith, Sergios Gatidis, Thomas Küstner   +8 more
wiley   +1 more source

Toward fluorescence digital twins: multi-parameter experimental validation of fluorescence Monte Carlo simulations using solid phantoms. [PDF]

J Biomed Opt
Nguyen MH, LaRochelle EPM, Robledo EA, Ruiz AJ.   +3 more
europepmc   +1 more source

Free‐Running Three‐Dimensional Cardiac Extracellular Volume Mapping in a Single Scan With Mid‐Scan Contrast Injection

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a new method for free‐running three‐dimensional (3D) extracellular volume mapping of the heart in a single scan with mid‐scan contrast injection. Methods 3D cardiac MR imaging was performed with a single scan that acquired k‐space data continuously using an inversion recovery (IR) sequence with a spoiled gradient‐echo ...
Wonil Lee, Paul Kyu Han, Thibault Marin, Ismaël B. G. Mounime, Didi Chi, Felicitas J. Bijari, Marc D. Normandin, Georges El Fakhri, Chao Ma   +8 more
wiley   +1 more source

Computationally efficient 4D spectral-spatial EPR imaging. [PDF]

J Magn Reson
Tseytlin M, Tseytlin O.
europepmc   +1 more source

Rosette Cardiac MR Fingerprinting for Simultaneous T1, T2, T2*$$ {\mathrm{T}}_2^{\ast } $$, and Fat Fraction Mapping Using a Multi‐Echo Deep Image Prior Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantitative mapping of cardiac tissue properties is used clinically in diagnosis and monitoring of a wide variety of cardiac pathologies. Cardiac Magnetic Resonance Fingerprinting (cMRF) enables rapid and simultaneous quantification of multiple parameters in the myocardium from a single scan.
Evan Cummings, Gastao Cruz, Jacob Richardson, Sydney Kaplan, Jesse Hamilton, Nicole Seiberlich   +5 more
wiley   +1 more source