Results 51 to 60 of about 2,863,637 (184)

Whole-lesion histogram analysis of multiple diffusion metrics for differentiating lung cancer from inflammatory lesions

Frontiers in Oncology, 2023
BackgroundWhole-lesion histogram analysis can provide comprehensive assessment of tissues by calculating additional quantitative metrics such as skewness and kurtosis; however, few studies have evaluated its value in the differential diagnosis of lung ...
Jiaxin Li, Baolin Wu, Zhun Huang, Yixiang Zhao, Sen Zhao, Shuaikang Guo, Shufei Xu, Xiaolei Wang, Tiantian Tian, Zhixue Wang, Jun Zhou   +10 more
doaj   +1 more source

Clinical Soma and Neurite Density Imaging (SANDI): Translational Microstructure Mapping on Clinical 3T MRI Scanners

Magnetic Resonance in Medicine, Volume 96, Issue 6, Page 2780-2794, December 2026.
ABSTRACT Purpose The Soma and Neurite Density Imaging (SANDI) model enables characterization of gray matter (GM) microstructure by estimating soma and neurite signal fractions, but its clinical applicability is limited by the need for multi‐shell acquisitions (at least five b‐values up to 6000 s/mm2), requiring high‐gradient MRI systems. We developed a
Hansol Lee, Kwok‐Shing Chan, Yixin Ma, Dongsuk Sung, Sohyun Han, DongKyu Lee, Eva A. Krijnen, Laleh Eskandarian, Aneri Bhatt, Julianna Gerold, HyungJoon Cho, Susie Y. Huang, Hong‐Hsi Lee   +12 more
wiley   +1 more source

Diffusion MRI of the Body: Beyond PGSE‐EPI

Journal of Magnetic Resonance Imaging, Volume 64, Issue 4, Page 881-897, October 2026.
ABSTRACT Diffusion magnetic resonance imaging (dMRI) is a widely used clinical imaging technique which is sensitive to changes in tissue microstructure including cellularity, perfusion, and tissue damage. DMRI has been used in whole‐body imaging as well as in targeted imaging of every major anatomical region.
Matthew T. Cherukara, Wenbo Sun, David Leitão, Shaihan Malik, Radhouene Neji, Joseph V. Hajnal, Andrada Ianus   +6 more
wiley   +1 more source

Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging

, 2016
Diffusion-derived parameters find application in characterizing pathological and developmental changes in living tissues. Robust estimation of these parameters is important because they are used for medical diagnosis. An optimal gradient encoding scheme (
Maier, Stephan E, Kahl, Fredrik, Maier, Stephan E., Starck, G\uf6ran, Maier, Stephan E,, Alipoor, Mohammad,, Gu, Irene Y.H.,, Mehnert, Andrew, Maier, Stephan E.,, Kahl, Fredrik,, Alipoor, Mohammad, Starck, Göran, Gu, Irene Yu-Hua,, Gu, Irene Y.H., Gu, Irene Yu-Hua, Mehnert, Andrew,, Starck, Göran,   +16 more
core   +1 more source

Diffusion kurtosis imaging of gliomas grades II and III - a study of perilesional tumor infiltration, tumor grades and subtypes at clinical presentation

Radiology and Oncology, 2017
Diffusion kurtosis imaging (DKI) allows for assessment of diffusion influenced by microcellular structures. We analyzed DKI in suspected low-grade gliomas prior to histopathological diagnosis.
Delgado Anna F., Fahlström Markus, Nilsson Markus, Berntsson Shala G., Zetterling Maria, Libard Sylwia, Alafuzoff Irina, van Westen Danielle, Lätt Jimmy, Smits Anja, Larsson Elna-Marie   +10 more
doaj   +1 more source

Value of diffusion kurtosis imaging in assessing low-grade gliomas

, 2018
Background Diffusion kurtosis imaging (DKI) measures have been shown to provide increased sensitivity relative to diffusion tensor imaging (DTI) in detecting pathologies.
Efrat Saraf-Lavi, Sheriff, Sulaiman, Ricardo J. Komotar, Sulaiman Sheriff, Saraf‐Lavi, Efrat, Deborah O. Heros, Andrew A. Maudsley, Goryawala, Mohammed Z, Komotar, Ricardo J, Maudsley, Andrew A, Mohammed Z. Goryawala, Heros, Deborah O   +11 more
core   +1 more source

Harmonized Acquisition of Connectome MRI and Clinical Data for Stroke, Parkinson's Disease and Glioma: Delphi‐Derived Protocol Recommendations by the European Academy of Neurology

European Journal of Neurology, Volume 33, Issue 9, September 2026.
In the context of the Horizon Europe EBRAINS 2.0 research consortium, Delphi‐derived, consented protocol recommendations from European Academy of Neurology Scientific Panel experts provide a pragmatic framework for harmonizing multi‐scale data acquisition for connectome analyses in stroke, Parkinson's Disease, and glioma.
Thomas Berger, Lorenzo Pini, Alessandro Salvalaggio, Simone Cauzzo, Christine Klein, Maria Lolich, Alberto Picca, Dauren Ramankulov, Maria A. Rocca, Roberta Rudà, Alessandro Sodero, Alessandro Tessitore, Thomas Truelsen, Roland Wiest, Gereon R. Fink, Elena Moro, Philippe Ryvlin, Maurizio Corbetta   +17 more
wiley   +1 more source

In Vivo Imaging Markers for Prediction of Radiotherapy Response in Patients with Nasopharyngeal Carcinoma: RESOLVE DWI versus DKI

Scientific Reports, 2018
In this prospective study, we compared the performance of readout segmentation of long variable echo trains of diffusion-weighted imaging (RESOLVE DWI) and diffusion kurtosis imaging (DKI) for the prediction of radiotherapy response in patients with ...
Wei-Yuan Huang, Meng-Meng Li, Shao-Min Lin, Feng Chen, Kai Yang, Xiao-Lei Zhu, Gang Wu, Jian-Jun Li   +7 more
doaj   +1 more source

Application of magnetic resonance diffusion kurtosis imaging for distinguishing histopathologic subtypes and grades of rectal carcinoma

Cancer Imaging, 2019
Background To evaluate the diagnostic performance of diffusion kurtosis imaging (DKI) for distinguishing different histopathological subtypes and grades of rectal carcinoma and to compare DKI with conventional diffusion-weighted imaging (DWI).
Ziqiang Wen, Yan Chen, Xinyue Yang, Baolan Lu, Yiyan Liu, Bingqi Shen, Shenping Yu   +6 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