Results 21 to 30 of about 6,599 (190)
Neurological deficits after stroke are closely related to white matter microstructure damage. However, secondary changes in white matter microstructure after pontine infarction (PI) in the whole brain remain unclear.
Ying Wei +11 more
doaj +1 more source
Diffusion kurtosis imaging of white matter in bipolar disorder [PDF]
Abstract Objectives White matter pathology is thought to contribute to the pathogenesis of bipolar disorder (BD). However, most studies of white matter in BD have used the simple diffusion tensor imaging (DTI) model, which has several limitations.
Vina M Goghari +7 more
openaire +3 more sources
Diffusion kurtosis imaging: An efficient tool for evaluating age‐related changes in rat brains
Purpose To evaluate and determine age‐related changes in rat brains by studying the diffusion kurtosis imaging results among different age groups of rats.
Xue‐Fang Han +4 more
doaj +1 more source
Diffusion Kurtosis Imaging: A Possible MRI Biomarker for AD Diagnosis? [PDF]
Abstract 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 whole brain voxel-based ...
Struyfs +14 more
openaire +4 more sources
Diffusion kurtosis imaging as a biomarker of breast cancer
Diffusion kurtosis imaging (DKI) is a diffusion-weighted imaging method that describes non-Gaussian signal behavior using a relatively simple mathematical model. A parameter, kurtosis K, describes the deviation of the diffusion signal decay from a Gaussian pattern.
Maya Honda +3 more
openaire +2 more sources
Objective: The objective of this study was to observe the correlation between multiple quantitative parameters of magnetic resonance diffusion kurtosis imaging and expression of proliferation-related antigen Ki-67 in nasopharyngeal carcinoma.
Yingning Wu +3 more
doaj +2 more sources
Quantitative evaluation of brain myelination has drawn considerable attention. Conventional diffusion-based magnetic resonance imaging models, including diffusion tensor imaging and diffusion kurtosis imaging (DKI),11 AD: Axial diffusivity; AK: Axial ...
Zihan Zhou +9 more
doaj +1 more source
An efficient deep learning model for brain tumour detection with privacy preservation
Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
Diffusion-kurtosis magnetic resonance imaging of the brain in the differential diagnostics of metastases of tumors of various primary localization [PDF]
Background: Metastatic brain lesions lead to the most unfavorable prognosis for the course of an oncological disease. Most often, brain metastases arise from primary tumors such as lung cancer, breast cancer, and melanoma.
Natalia V. Garanina +6 more
doaj +1 more source
To understand brain function it is necessary to characterize both the underlying structural connectivity between neurons and the physiological integrity of these connections.
Syed Salman Shahid +3 more
doaj +1 more source

