Results 91 to 100 of about 6,599 (190)

Diffusion Kurtosis Imaging and Radiomics in Diffuse Axonal Injury

Radiology - Practice
This study aimed to assess the feasibility of radiomic features derived from diffusion kurtosis imaging (DK MRI) in identifying microstructural brain damage in diffuse axonal injury (DAI) and predicting its outcome. We hypothesized that radiomic features, computed from parametric DK MRI maps, may differ between healthy individuals and those with trauma ...
R. M. Afandiev, N. E. Zakharova, G. V. Danilov, E. L. Pogosbekyan, S. A. Goryaynov, Ya. A. Latyshev, A. V. Kosyr’kova, A. D. Kravchuk, D. Yu. Usachev, I. N. Pronin   +9 more
openaire   +1 more source

Phenolic composition and multi‐target bioactivities of Globularia alypum extracts across seasons

JSFA reports, Volume 6, Issue 8, Page 314-330, August 2026.
Abstract Background This study investigates the influence of seasonal variation on the phytochemical profile and biofunctional activities of ethanolic leaf extracts from Globularia alypum. Leaves collected across four seasons were extracted with a hydroethanolic solvent (80:20, v/v) and analyzed by LC‐ESI‐MS/MS.
Mohammed Messaoudi, Khalil Guelift, Mokhtar Benmohamed, Khaled Kherraz, Latifa Khattabi, Afaf Khadra Bendrihem, Khaled Aggoun, Barbara Sawicka, Lilya Harchaoui, Mohamed Amine Ferhat, Salah Neghmouche Nacer, Stefania Garzoli   +11 more
wiley   +1 more source

Accurate estimation of intravoxel incoherent motion parameters based on implicit neural representation

Medical Physics, Volume 53, Issue 8, August 2026.
Abstract BackgroundIntravoxel incoherent motion (IVIM) diffusion‐weighted imaging has important value in treatment response monitoring. However, traditional voxel‐wise independent fitting methods are highly sensitive to noise and do not utilize spatial correlation, resulting in unstable parameter estimation. Although existing deep learning methods have
Yunxiang Li, Yen‐Peng Liao, Yan Dai, Jie Deng, You Zhang   +4 more
wiley   +1 more source

Diagnostic performance of amide proton transfer-weighted imaging and four advanced diffusion-weighted MRI models for meningioma grading and subtyping

Cancer Imaging
Objective To compare the diagnostic performance of amide proton transfer-weighted (APTw), diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), and mean apparent propagator (MAP) in ...
Hua Zhang, Hongjie Huang, Yuwei Pan, Minxuan Tian, Guoqi Lin, Lukui Xiong, Yan Su, Xiance Zhao, Wei Guo, Dejun She   +9 more
doaj   +1 more source

Self‐Supervised Deep Learning Framework for Rician Distribution Based Denoising and Modeling of Multi‐b Prostate Diffusion MRI

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 928-942, August 2026.
ABSTRACT Purpose Convolutional neural networks (CNNs) are evaluated for improved and accelerated denoising and Rician bias correction in multi‐b DW images with simultaneous signal modeling. Methods Prostate diffusion images from 46 individuals acquired at 20 linearly distributed b‐values (bmax=2000s/mm2) without averaging were used for self‐supervised ...
Mustafa Abbas, Wenyin Zhou, Stephan E. Maier, Fredrik Langkilde, Stefan Kuczera   +4 more
wiley   +1 more source

Investigating the Sensitivity of the Diffusion MRI Signal to Magnetization Transfer and Permeability via Monte‐Carlo Simulations

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 960-974, August 2026.
ABSTRACT Purpose Magnetization transfer (MT) and water exchange via permeability operate on a similar spatiotemporal scale to water diffusion. In this study, we use a simulation‐based approach to characterize how MT and permeability impact (1) diffusion‐weighted MRI (dMRI) measurements from cylindrical substrates and (2) parameter estimation using a ...
Zhiyu Zheng, Karla L. Miller, Benjamin C. Tendler, Michiel Cottaar   +3 more
wiley   +1 more source

Diffusion kurtosis versus diffusion-weighted magnetic resonance imaging in differentiating clear cell renal cell carcinoma and renal angiomyolipoma with minimal fat: a comparative study

Diagnostic and Interventional Radiology
PURPOSE: To quantitatively compare the diagnostic values of conventional diffusion-weighted imaging and diffusion kurtosis imaging (DKI) in differentiating clear cell renal cell carcinoma (ccRCC) and renal angiomyolipoma with minimal fat (RAMF ...
Yarong Lin, Wenrong Zhu, Qingqiang Zhu
doaj   +1 more source

Restriction‐Weighted Q‐Space Trajectory Imaging (ResQ): Toward Mapping Diffusion‐Time Effects With Tensor‐Valued Diffusion Encoding in Human Prostate Cancer Xenografts

NMR in Biomedicine, Volume 39, Issue 8, August 2026.
Tensor‐valued diffusion MRI enables microstructure characterization but can be confounded by the presence of restricted diffusion. We introduce ResQ, a framework that incorporates restriction weighting into q‐space trajectory imaging and we evaluate it in a longitudinal study of prostate cancer xenografts treated by external radiotherapy. ResQ revealed
Filip Szczepankiewicz, Malwina Molendowska, Samo Lasič, Marcella E. Safi, Michael Gottschalk, Evangelia Sereti, Anders Bjartell, Linda Knutsson, Oskar Vilhelmsson Timmermand, Crister Ceberg, Joanna Strand   +10 more
wiley   +1 more source

Assessment of chemotherapy response in non-Hodgkin lymphoma involving the neck utilizing diffusion kurtosis imaging: a preliminary study

Diagnostic and Interventional Radiology, 2017
PURPOSE:We aimed to examine the utility of non-Gaussian diffusion kurtosis imaging (DKI) for assessment of chemotherapy response in patients with cervical (neck) non-Hodgkin lymphoma (NHL).METHODS:Patients with cervical NHL underwent 3.0 T magnetic ...
Rui Wu, Shi-Teng Suo, Lian-Ming Wu, Qiu-Ying Yao, Hong-Xia Gong, Jian-Rong Xu   +5 more
doaj   +1 more source

Differentiating between Alzheimer’s disease, amnestic mild cognitive impairment, and normal aging via diffusion kurtosis imaging

Neural Regeneration Research, 2019
Diffusion kurtosis imaging can be used to assess pathophysiological changes in tissue structure and to diagnose central nervous system diseases. However, its sensitivity in assessing hippocampal differences between patients with Alzheimer’s disease and ...
Guo-Ping Song, Ting-Ting Yao, Dan Wang, Yue-Hua Li   +3 more
doaj   +1 more source