Results 111 to 120 of about 8,952 (260)

A multimodal mutual information‐guided feature selection framework for predicting rehabilitation response in Parkinson's disease with postural instability and gait disorder

Journal of Intelligent Medicine, EarlyView.
A mutual information–guided sequential forward selection framework applied to multimodal baseline data identified key EEG and MRI features, which showed robust predictive performance across multiple machine learning models. Abstract Postural instability and gait disorder (PIGD) subtype of Parkinson's disease (PD) is marked by heterogeneous motor and ...
Yu Shi, Hongbo Zhao, Deyu Wang, Jun Pang, Hanna Lu, Xiaodong Zhu, Lin Meng   +6 more
wiley   +1 more source

T2‐Weighted T1 Mapping and Automated Segmentation of CSF: Assessment of Solute Gradients in the Healthy Brain

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Cerebrospinal fluid (CSF) serves as a medium for nutrient delivery and waste clearance. The T1 relaxation rate, R1, can be used to measure the concentration of intrinsic solutes and extrinsic contrast agents. Purpose To implement a method for R1 mapping and segmentation of CSF and to use this method to explore how R1 of CSF relates ...
Tryggve Holck Storås, Sofie Lysholm Lian, Ingrid Mossige, Jørgen Riseth, Siri Fløgstad Svensson, Grethe Løvland, Geir Ringstad, Kent‐André Mardal, Kyrre Eeg Emblem, Kaja Nordengen   +9 more
wiley   +1 more source

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H. Kwon, Ting‐Yu Su, Nancy A. Obuchowski, Mark A. Griswold, Zhong Irene Wang, Dan Ma   +8 more
wiley   +1 more source

Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Intravoxel incoherent motion (IVIM) MRI allows for simultaneous assessment of tissue microcirculation (perfusion) and diffusion of water. In single‐center studies, IVIM has shown great potential for diagnosis, treatment outcome prediction, and treatment monitoring for many different diseases and organs.
Eric E. Sigmund, Susanne S. Rauh, Mami Iima, Christian Federau, Diego Hernando, Oscar Jalnefjord, Jacobus F. A. Jansen, Jonas Jasse, Neil Peter Jerome, Misha P. T. Kaandorp, Sila Kurugol, Frederik B. Laun, Mira M. Liu, Alexandra Ljimani, Thoralf Niendorf, David A. Reiter, Mohammed Salman Shazeeb, Amita Shukla‐Dave, Julia Stabinska, Andreas Wetscherek, Peter T. While, Dan Wu, Denis Le Bihan, Oliver J. Gurney‐Champion   +23 more
wiley   +1 more source

A Comparative Study of IVIM‐MRI Fitting Techniques in Glioma Grading: Conventional, Bayesian, and Voxel‐Wise and Spatially‐Aware Deep Learning Approaches

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp, Andras Jakab, Christian Federau, Peter T. While   +3 more
wiley   +1 more source

Benchmarking Hybrid CNN‐Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized 129Xe MRI Reconstruction

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour, Matthew S. Fox, Grace Parraga, Alexei Ouriadov   +3 more
wiley   +1 more source

Recent advances and current landscape of software tools for image analysis and dosimetry in nuclear medicine. [PDF]

EJNMMI Phys
Banda K, Qebetu M, Goorhoo P, Legodi K, van Staden J, Sathekge M, Ramonaheng K.   +6 more
europepmc   +1 more source

A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Magnetic resonance fingerprinting (MRF) is an emerging quantitative imaging technique that enables multiparametric tissue characterization, but its adoption has been hindered by the complexity of data acquisition and post‐processing. These technical and implementation challenges have limited its broader clinical deployment.
Rasim Boyacioglu, Thomas Kluge, Guido Buonincontri, Wei‐Ching Lo, Stephan Kannengiesser, Mathias Nittka, Arashdeep Kaur, Andrew Dupuis, Dan Ma, Chaitra Badve, Mark A. Griswold, Yong Chen   +11 more
wiley   +1 more source

MIRD Pamphlet No. 34, Part 1: MIRDct-A Customizable Software Tool for CT Dosimetry. [PDF]

J Nucl Med
Ocampo Ramos JC, Kofler C, Dawson R, Baggett J, Dinwiddie LE, Domal SJ, Carter LM, Marquis H, Kayal G, Zanzonico PB, Bolch WE, Kesner AL.   +11 more
europepmc   +1 more source

Mapping Neurodegenerative Changes in Clinically Uncertain Parkinsonian Syndrome Patients Using Fast MR Spin TomogrAphy in Time‐Domain (MR‐STAT) Relaxometry at 3T

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background MR Spin TomogrAphy in Time‐domain (MR‐STAT) enables accelerated multiparametric relaxometry (T1/T2). Previous relaxometry studies predominantly compared Parkinson's disease patients with healthy controls (HC). The potential of relaxometry to distinguish neurodegenerative from non‐neurodegenerative parkinsonism in clinically ...
Martin B. Schilder, Elon D. Wallert, Stefano Mandija, Oscar van der Heide, Hongyan Liu, Miha Fuderer, Edwin Versteeg, Jan Booij, Rob M. A. de Bie, Martijn Beudel, Henk W. Berendse, Tom van Mierlo, Jeroen Blankevoort, Cornelis A. T. van den Berg, Elsmarieke van de Giessen, Alessandro Sbrizzi   +15 more
wiley   +1 more source