Results 141 to 150 of about 87,413 (321)

Highly Reproducible, Vendor‐Agnostic, Motion‐Insensitive Liver PDFF Mapping at 0.55T, 1.5T, and 3T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and validate a vendor‐agnostic, motion‐insensitive proton‐density fat‐fraction (PDFF) quantification method. Methods Flip‐angle‐modulated (FAM) 2D chemical‐shift‐encoded (CSE) MRI for PDFF quantification was implemented in both the vendor‐agnostic platform Pulseq (“Pulseq‐FAM”) and one vendor‐specific platform (“GE‐specific ...
Jiayi Tang, Daiki Tamada, Jon‐Fredrik Nielsen, Jitka Starekova, Julius F. Heidenreich, Felix Schön, Alexandra A. Anagnostopoulos, Amirhossein Roshanshad, Lu Mao, Shohei Fujita, Pengcheng Xu, Christopher Keen, Imam Ahmed Shaik, Eugene Milshteyn, Seonghwan Yee, Andrew J. Ellison, David Rutkowski, Jeff Kammerman, Jean H. Brittain, Xiaodong Zhong, William A. Grissom, Maxim Zaitsev, Aaron L. Carrel, Yogesh Rathi, Yun Jiang, Berkin Bilgic, Scott B. Reeder, Diego Hernando   +27 more
wiley   +1 more source

Deep learning-based diffusion tensor image generation model: a proof-of-concept study

Scientific Reports
This study created an image-to-image translation model that synthesizes diffusion tensor images (DTI) from conventional diffusion weighted images, and validated the similarities between the original and synthetic DTI.
Hiroyuki Tatekawa, Daiju Ueda, Hirotaka Takita, Toshimasa Matsumoto, Shannon L. Walston, Yasuhito Mitsuyama, Daisuke Horiuchi, Shu Matsushita, Tatsushi Oura, Yuichiro Tomita, Taro Tsukamoto, Taro Shimono, Yukio Miki   +12 more
doaj   +1 more source

Accelerating Multiparametric Quantitative MRI Using Self‐Supervised Scan‐Specific Implicit Neural Representation With Model Reinforcement

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng, Albert Jang, Xingxin He, Fang Liu   +3 more
wiley   +1 more source

ShinyBA.plot: An R Shiny Application for Bland-Altman Plots to Visualize Agreement between Two Quantitative Measures in Medical Research

Asian Journal of Advanced Research and Reports
In medical research, Bland-Altman analysis is a popular technique for determining the boundaries of agreement between two quantitative values. This article presents ‘ShinyBA.plot’ an interactive and intuitive application designed to automate the creation of Bland-Altman plots using the Shiny R platform.
Kalesh M Karun, Amitha Puranik
openaire   +1 more source

Comparison of Signal‐ and Volume‐Based Ventilation‐Weighted Assessment Using 3D FLORET UTE MRI in Patients With Various Pulmonary Disease

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose 3D free‐breathing, proton, contrast‐agent‐free MR methods are increasingly used for pulmonary ventilation‐weighted measurements. The methods are split between: (1) signal‐based, which rely on lung parenchyma signal changes during respiration, and (2) volume‐based that utilize the Jacobian determinant of deformation fields from the ...
Filip Klimeš, Joseph W. Plummer, Andreas Voskrebenzev, Marcel Gutberlet, Marius M. Klein, Matthew M. Willmering, Alexander M. Matheson, Abdullah S. Bdaiwi, Frank Wacker, Jason C. Woods, Zackary I. Cleveland, Laura L. Walkup, Jens Vogel‐Claussen   +12 more
wiley   +1 more source

Bicomponent Mapping of Cortical Bone Using a New Interleaved UTE Imaging Sequence

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultrashort echo time (UTE) MRI enables direct imaging of cortical bone and quantification of its water compartments via bicomponent T2* modeling. However, conventional approaches require multiple separate dual‐echo scans due to limitations in gradient power. This approach is prone to inter‐scan inconsistencies such as motion and signal
Soo Hyun Shin, Jiyo S. Athertya, Arya Suprana, James Lo, Jiaji Wang, Dina Moazamian, Fanny Chapelin, Yajun Ma   +7 more
wiley   +1 more source

Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation

, 2016
The size of nuclei in histological preparations from excised breast tumors is predictive of patient outcome (large nuclei indicate poor outcome). Pathologists take into account nuclear size when performing breast cancer grading.
D Cireşan, DC Cireşan, EC Mommers, HR Roth, M Veta, M Veta, P Kronqvist   +6 more
core   +1 more source

Inter‐Individual Differences in T1, T2, and Proton Density Using Quantitative Synthetic Imaging for 1H‐MRS Quantification

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Metabolite concentrations can be determined from proton magnetic resonance spectroscopy (1H‐MRS) data using water as an internal reference. This calculation requires tissue‐specific water T1 and T2 relaxation constants and proton density (PD).
Samantha A. Leech, Sarah L. Manske, Paul G. Mullins, Tiffany K. Bell, Ashley D. Harris   +4 more
wiley   +1 more source

Cross-cultural adaptation of the Activities of Daily Living Questionnaire-Brazil in Parkinson’s disease

Arquivos de Neuro-Psiquiatria
Background: Culturally adapted measures to assess the performance of activities of daily living (ADL) in individuals with Parkinson’s disease (PD) are limited in Brazil.
Walter Luis Teixeira ALVES, Iza de FARIA-FORTINI, Ana Carolina Daher Ribas GALVÃO, Francisco Eduardo Costa CARDOSO, Paula Luciana SCALZO   +4 more
doaj   +1 more source

Effects and Correction of Patient Bulk Motion in Cranial DENSE MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Applications of DENSE to measure cardiac driven brain tissue pulsations are highly sensitive to bulk patient motion due to the sub‐millimeter displacement encoding required, limiting its accuracy, reproducibility, and use in pediatric and aging populations.
Caroline A. Doctor, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Sterling C. Johnson, Kevin M. Johnson   +4 more
wiley   +1 more source