Results 11 to 20 of about 7,745 (211)

Characteristic Mean Kurtosis Values in Simple Diffusion Kurtosis Imaging of Dentigerous Cysts [PDF]

Diagnostics, 2023
We evaluated the usefulness of simple diffusion kurtosis (SD) imaging, which was developed to generate diffusion kurtosis images simultaneously with an apparent diffusion coefficient (ADC) map for 27 cystic disease lesions in the head and neck region ...
Yuka Fukumura, Masahiro Kuroda, Suzuka Yoshida, Yoshihide Nakamura, Yuki Nakamitsu, Wlla E. Al-Hammad, Kazuhiro Kuroda, Ryo Kamizaki, Yudai Shimizu, Yoshinori Tanabe, Kohei Sugimoto, Masataka Oita, Irfan Sugianto, Majd Barham, Nouha Tekiki, Nurul N. Kamaruddin, Yoshinobu Yanagi, Junichi Asaumi   +17 more
doaj   +7 more sources

Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project [PDF]

Frontiers in Human Neuroscience, 2021
Diffusion-weighted magnetic resonance imaging (dMRI) measurements and models provide information about brain connectivity and are sensitive to the physical properties of tissue microstructure.
Rafael Neto Henriques, Marta M. Correia, Maurizio Marrale, Maurizio Marrale, Elizabeth Huber, John Kruper, Serge Koudoro, Jason D. Yeatman, Jason D. Yeatman, Eleftherios Garyfallidis, Ariel Rokem   +10 more
doaj   +9 more sources

Performances of diffusion kurtosis imaging and diffusion tensor imaging in detecting white matter abnormality in schizophrenia

NeuroImage: Clinical, 2015
Diffusion kurtosis imaging (DKI) is an extension of diffusion tensor imaging (DTI), exhibiting improved sensitivity and specificity in detecting developmental and pathological changes in neural tissues.
Jiajia Zhu, Chuanjun Zhuo, Wen Qin, Di Wang, Xiaomei Ma, Yujing Zhou, Chunshui Yu   +6 more
doaj   +4 more sources

Diffusion kurtosis imaging as a biomarker of breast cancer [PDF]

BJR|Open, 2023
Diffusion kurtosis imaging (DKI) is a diffusion-weighted imaging method that describes non-Gaussian signal behavior using a relatively simple mathematical model.
Le Bihan, Denis, Iima, Mami, Honda, Maya, Maya Honda, Mami Iima, Denis Le Bihan, Masako Kataoka, Kataoka, Masako   +7 more
core   +4 more sources

Toward more robust and reproducible diffusion kurtosis imaging [PDF]

Magnetic Resonance in Medicine, 2021
Purpose The general utility of diffusion kurtosis imaging (DKI) is challenged by its poor robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis values.
Sune N. Jespersen, Rafael N. Henriques, Henriques, Rafael N., Jones, Derek K., Jelle Veraart, Derek K. Jones, Jespersen, Sune N., Veraart, Jelle   +7 more
core   +8 more sources

Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis [PDF]

Diagnostics
Background/Objectives: Mean kurtosis (MK) values in simple diffusion kurtosis imaging (SDI)—a type of diffusion kurtosis imaging (DKI)—have been reported to be useful in the diagnosis of head and neck malignancies, for which pre-processing with smoothing
Suzuka Yoshida, Masahiro Kuroda, Yoshihide Nakamura, Yuka Fukumura, Yuki Nakamitsu, Wlla E. Al-Hammad, Kazuhiro Kuroda, Yudai Shimizu, Yoshinori Tanabe, Masataka Oita, Irfan Sugianto, Majd Barham, Nouha Tekiki, Nurul N. Kamaruddin, Miki Hisatomi, Yoshinobu Yanagi, Junichi Asaumi   +16 more
doaj   +4 more sources

Quantitative measurement of diffusion-weighted imaging signal using expression-controlled aquaporin-4 cells: Comparative study of 2-compartment and diffusion kurtosis imaging models.

PLoS ONE, 2022
The purpose of this study was to compare parameter estimates for the 2-compartment and diffusion kurtosis imaging models obtained from diffusion-weighted imaging (DWI) of aquaporin-4 (AQP4) expression-controlled cells, and to look for biomarkers that ...
Akiko Imaizumi, Takayuki Obata, Jeff Kershaw, Yasuhiko Tachibana, Yoichiro Abe, Sayaka Shibata, Nobuhiro Nitta, Ichio Aoki, Masato Yasui, Tatsuya Higashi   +9 more
doaj   +2 more sources

Diffusion kurtosis imaging based on adaptive spherical integral [PDF]

IEEE Signal Processing Letters, 2011
Diffusion kurtosis imaging (DKI) is a recent approach in medical engineering that has potential value for both neurological diseases and basic neuroscience research. In this letter, we develop a robust method based on adaptive spherical integral that can
Liu, Y, Yizhou Yu, Chen, L, Yugang Liu, Yu, Y, Leiting Chen   +5 more
core   +4 more sources

Diffusion Kurtosis imaging: a possible MRI biomarker for AD diagnosis? [PDF]

Journal of Alzheimer’s Disease, 2015
The purpose of this explorative study was to investigate whether diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) parameter changes are reliable measures of white matter integrity changes in Alzheimer's disease (AD) patients using a ...
Peters, B, Engelborghs, Sebastiaan, Veraart, Jelle, Sijbers, J, Slaets, Sylvie, Struyfs, H, Wuyts, L, Wuyts, Laura, Parizel, Paul M., De Belder, Maya, De Belder, F, Robberecht, Caroline, Sijbers, Jan, Peters, Benjamin, Slaets, S, Veraart, J, De Belder, Frank, Struyfs, Hanne, Van Broeckhoven, C, Sleegers, Kristel, Sleegers, K, Parizel, PM, van Hecke, Wim, Robberecht, C, Van Broeckhoven, Christine, Van Hecke, W, Engelborghs, S   +26 more
core   +5 more sources

Survival Prediction Analysis in Glioblastoma With Diffusion Kurtosis Imaging [PDF]

Frontiers in Oncology, 2021
Simple SummaryGlioblastoma (GBM) is the most common and aggressive primary brain tumor. Diffusion kurtosis imaging (DKI) has characterized non-Gaussian diffusion behaviors in brain normal tissue and gliomas, but there are very limited efforts in ...
Yuan Li, Yuan Li, Michelle M. Kim, Daniel R. Wahl, Theodore S. Lawrence, Hemant Parmar, Yue Cao, Yue Cao, Yue Cao   +8 more
doaj   +3 more sources