Results 1 to 10 of about 16,306 (215)

Parsimonious Continuous Time Random Walk Models and Kurtosis for Diffusion in Magnetic Resonance of Biological Tissue [PDF]

Frontiers in Physics, 2015
In this paper, we provide a context for the modeling approaches that have been developed to describe non-Gaussian diffusion behavior, which is ubiquitous in diffusion weighted magnetic resonance imaging of water in biological tissue.
Carson eIngo, Yi eSui, Yufen eChen, Todd eParrish, Andrew eWebb, Itamar eRonen   +5 more
doaj   +5 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
Chen, L, Liu, Y, Yu, Y
core   +4 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   +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

Characteristic Mean Kurtosis Values in Simple Diffusion Kurtosis Imaging of Dentigerous Cysts

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   +4 more sources

Characterization of breast tumors using diffusion kurtosis imaging (DKI). [PDF]

PLoS ONE, 2014
The aim of this study was to investigate and evaluate the role of magnetic resonance (MR) diffusion kurtosis imaging (DKI) in characterizing breast lesions.One hundred and twenty-four lesions in 103 patients (mean age: 57 ± 14 years) were evaluated by MR
Dongmei Wu, Guanwu Li, Junxiang Zhang, Shixing Chang, Jiani Hu, Yongming Dai   +5 more
doaj   +4 more sources

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

Diagnostics (Basel)
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
Yoshida S, Kuroda M, Nakamura Y, Fukumura Y, Nakamitsu Y, Al-Hammad WE, Kuroda K, Shimizu Y, Tanabe Y, Oita M, Sugianto I, Barham M, Tekiki N, Kamaruddin NN, Hisatomi M, Yanagi Y, Asaumi J.   +16 more
europepmc   +2 more sources

Glioma-Specific Diffusion Signature in Diffusion Kurtosis Imaging [PDF]

Journal of Clinical Medicine, 2021
Purpose: This study aimed to assess the relationship between mean kurtosis (MK) and mean diffusivity (MD) values from whole-brain diffusion kurtosis imaging (DKI) parametric maps in preoperative magnetic resonance (MR) images from 2016 World Health Organization Classification of Tumors of the Central Nervous System integrated glioma groups.
Johann-Martin Hempel, Cornelia Brendle, Sasan Darius Adib, Felix Behling, Ghazaleh Tabatabai, Salvador Castaneda Vega, Jens Schittenhelm, Ulrike Ernemann, Uwe Klose   +8 more
openaire   +2 more sources

Toward more robust and reproducible diffusion kurtosis imaging [PDF]

Magnetic Resonance in Medicine, 2021
AbstractPurposeThe 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.Theory and MethodsA robust scalar kurtosis index can be estimated from powder‐averaged diffusion‐weighted data.
Henriques, Rafael N., Jespersen, Sune N., Jones, Derek K., Veraart, Jelle   +3 more
openaire   +7 more sources

Diffusion Kurtosis Imaging [PDF]

, 2020
Diffusion Kurtosis Imaging (DKI) is an advanced imaging technique that expands the utility of diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI). Kurtosis is a measure of skewness of the shape of a probability distribution, which reflects the deviation of a given distribution from the normal Gaussian distribution.
Jiachen Zhuo, Rao P. Gullapalli
openaire   +2 more sources