Results 141 to 150 of about 8,952 (260)

Survey of normalized CTDI_vol values across four major computed tomography vendors for use in the MIRDct software. [PDF]

J Appl Clin Med Phys
Dinwiddie LE, Baggett JM, Kofler JM, Kofler CB, Long DJ, Dawson RJ, Wehmeier SK, Wang Y, Ocampo-Ramos JC, Carter LM, Marquis H, Kayal G, Kesner AL, Bolch WE.   +13 more
europepmc   +1 more source

Enhanced Quantitative Phosphocreatine MR Imaging of Skeletal Muscle Using a Global–Local Two‐Branch Deep Learning Model

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Phosphocreatine (PCr) is an essential marker of muscle metabolism, and accurate quantification of its (fs) and its exchange rate (ksw) is essential for diagnosing various muscular and neuromuscular diseases. Although chemical exchange saturation transfer (CEST) MRI can detect the saturation transfer effect from PCr, quantification of ...
Malvika Viswanathan, Leqi Yin, Yashwant Kurmi, Shuyang Chai, Xiaoyu Jiang, Yuankai Huo, Junzhong Xu, Limin Chen, John C. Gore, Zhongliang Zu   +9 more
wiley   +1 more source

Corrigendum: Comparison of 3DCRT and IMRT out-of-field doses in pediatric patients using Monte Carlo simulations with treatment planning system calculations and measurements

Frontiers in Oncology
Ana Cravo Sá, Ana Cravo Sá, Ana Cravo Sá, Andreia Barateiro, Bryan P. Bednarz, Pedro Almeida, Pedro Vaz, Tiago Madaleno   +7 more
doaj   +1 more source

Biomimetic Phantoms in X-Ray-Based Radiotherapy Research: A Narrative Review. [PDF]

Biomimetics (Basel)
Schültke E.
europepmc   +1 more source

Real‐Time, Inline Quantitative MRI Enabled by Scanner‐Integrated Machine Learning: A Proof of Principle With NODDI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The clinical feasibility and translation of many advanced quantitative MRI (qMRI) techniques are inhibited by their restriction to ‘research mode’, due to resource‐intensive, offline parameter estimation. This work aimed to achieve ‘clinical mode’ qMRI, by real‐time, inline parameter estimation with a trained neural network (NN) fully ...
Samuel Rot, Iulius Dragonu, Christina Triantafyllou, Matthew Grech‐Sollars, Anastasia Papadaki, Laura Mancini, Stephen Wastling, Jennifer Steeden, John S. Thornton, Tarek Yousry, Claudia A. M. Gandini Wheeler‐Kingshott, David L. Thomas, Daniel C. Alexander, Hui Zhang   +13 more
wiley   +1 more source

A Magnetic Resonance Fingerprinting Approach for Simultaneous T1$$ {T}_1 $$‐ and PRFS‐Based 3D MR‐Thermometry

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1$$ {T}_1 $$ thermometry during microwave ablation with T1$$ {T}_1 $$ improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere ...
Moritz Gutt, Dominik Horstmann, Othmar Belker, Simon Schröer, Daniel Düx, Frank Wacker, Marcel Gutberlet, Bennet Hensen   +7 more
wiley   +1 more source

Development of anatomically variable digital Wistar rat phantoms for small animal imaging research. [PDF]

Med Phys
Segars HE, Nadkarni R, Badea CT, Badea A, Chin B, Johnson GA, Payne J, Samei E, Segars WP.   +8 more
europepmc   +1 more source

Physics‐Guided Neural Network for Quantitative Parameter Mapping Using Balanced Steady State Free Precession MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi, Huan Minh Luu, Sung‐Hong Park   +2 more
wiley   +1 more source

Ultra-Miniaturized Dual-Band MIMO Antenna for Biomedical Implantable Devices in Wireless Health Monitoring Systems. [PDF]

Biosensors (Basel)
Bashir T, Chen S, Feng G, Cao Y, Li W.
europepmc   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

Remote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin, Lauri Korhonen, Topi Tanhuanpää, Mikko Kukkonen, Matti Maltamo, Timo Kumpula   +5 more
wiley   +1 more source