Results 121 to 130 of about 2,367 (150)

Development of voxel-based optimization diffusion kurtosis imaging (DKI) and comparison with conventional DKI

Radiological Physics and Technology, 2019
The aims of this study were to implement voxel-based optimization diffusion kurtosis imaging (DKI) and evaluate the accuracy of the method for the analysis of diffusion imaging data in comparison with conventional DKI. Conventional DKI and voxel-based optimization DKI were tested on a phantom and a human in a 1.5 T whole-body scanner.
exaly   +3 more sources

DTI - DKI fitting: a graphical toolbox for estimation and visualization of diffusion tensor and diffusion kurtosis imaging

Proceedings of SPIE, 2015
Diffusion weighted magnetic resonance images(DW-MRI) such as diffusion tensor imaging(DTI) and diffusion kurtosis imaging(DKI) are widely used in understanding the complex cellular microstructures non-invasively. With the increased usage of DTI and DKI in the recent years, the need for software packages for processing magnetic resonance(MR) diffusion ...
Neelam Sinha, Rajikha Raja
exaly   +2 more sources

T2*-weighted imaging and diffusion kurtosis imaging (DKI) of rectal cancer: correlation with clinical histopathologic prognostic factors

Abdominal Radiology, 2021
Histopathologic prognostic factors of rectal cancer are closely associated with local recurrence and distant metastasis. We aim to investigate the feasibility of T2*WI in assessment of clinical prognostic factors of rectal cancer, and compare with DKI.This retrospective study enrolled 50 out of 205 patients with rectal cancer according to the inclusion
Shan, Hu, Yang, Peng, Qiushi, Wang, Bin, Liu, Ihab, Kamel, Zaiyi, Liu, Changhong, Liang   +6 more
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MR Diffusion Kurtosis Imaging (DKI) of the Normal Human Uterus in Vivo During the Menstrual Cycle

Journal of Magnetic Resonance Imaging, 2023
BackgroundThe uterus undergoes dynamic changes throughout the menstrual cycle. Diffusion kurtosis imaging (DKI) is based on the non‐Gaussian distribution of water molecules and can perhaps represent the changes of uterine microstructure.PurposeTo investigate the temporal changes in DKI‐parameters of the normal uterine corpus and cervix during the ...
Yajie Li, Ye Chen, Caixia Fu, Qing Li, Hanqiu Liu, Qi Zhang   +5 more
openaire   +2 more sources

Evaluation of diffuse glioma grade and proliferation activity by different diffusion-weighted-imaging models including diffusion kurtosis imaging (DKI) and mean apparent propagator (MAP) MRI

Neuroradiology, 2022
To evaluate two advanced diffusion models, diffusion kurtosis imaging and the newly proposed mean apparent propagation factor-magnetic resonance imaging, in the grading of gliomas and the assessing of their proliferative activity.Fifty-nine patients with clinically diagnosed and pathologically proven gliomas were enrolled in this retrospective study ...
Sheng-hui Xie, Rui Lang, Bo Li, He Zhao, Peng Wang, Jin-long He, Xue-ying Ma, Qiong Wu, Shao-yu Wang, Hua-peng Zhang, Yang Gao, Jian-lin Wu   +11 more
openaire   +2 more sources

Tumor Multiregional Mean Apparent Propagator (MAP) Features in Evaluating Gliomas—A Comparative Study With Diffusion Kurtosis Imaging (DKI)

Journal of Magnetic Resonance Imaging, 2023
BackgroundGlioma classification affects treatment and prognosis. Reliable imaging methods for preoperatively evaluating gliomas are essential.PurposeTo evaluate tumor multiregional mean apparent propagator (MAP) features in glioma diagnosis and to compare those with diffusion‐kurtosis imaging (DKI).Study TypeRetrospective study.Subjects70 untreated ...
Shanmei Zeng, Hui Ma, Dingxiang Xie, Yingqian Huang, Jia Yang, Fangzeng Lin, Zuliwei Ma, Mengzhu Wang, Zhiyun Yang, Jing Zhao, Jianping Chu   +10 more
openaire   +2 more sources

Prostate cancer aggressive prediction: preponderant diagnostic performances of intravoxel incoherent motion (IVIM) imaging and diffusion kurtosis imaging (DKI) beyond ADC at 3.0 T scanner with gleason score at final pathology

Abdominal Radiology, 2019
To explore the preponderant diagnostic performances of IVIM and DKI in predicting the Gleason score (GS) of prostate cancer.Diffusion-weighted imaging data were postprocessed using monoexponential, lVIM and DK models to quantitate the apparent diffusion coefficient (ADC), molecular diffusion coefficient (D), perfusion-related diffusion coefficient ...
Yingchan, Shan, Xiaoshan, Chen, Kai, Liu, Mengsu, Zeng, Jianjun, Zhou   +4 more
openaire   +2 more sources

Diffusion Kurtosis Imaging (DKI): measurement optimization on the basis of a quantitative diffusion phantom

Physica Medica, 2021
L. Noferini, S. Busoni, G. Belli, S. Bettarini, P. Tortoli, S. Ono, T.L. Chenevert, D.I. Malyarenko, S.D. Swanson   +8 more
openaire   +1 more source

tDKI-Net: A Joint q-t Space Learning Network for Diffusion-Time-Dependent Kurtosis Imaging

IEEE Journal of Biomedical and Health Informatics
Time-dependent diffusion magnetic resonance imaging (TDDMRI) is useful for the non-invasive characterization of tissue microstructure. These models require densely sampled q-t space data for microstructural fitting, leading to very time-consuming acquisition protocols.
Tianshu Zheng, Ruicheng Ba, Yongquan Huang, Dan Wu   +3 more
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Comparison between dynamic contrast enhanced MRI (DCE) and diffusion kurtosis imaging (DKI) in the characterization and differentiation of the breast lesions

2017
Aims and objectives: Introduction Breast MRI is a well-established method for the evaluation of breast pathologies. It is widely used as supplementary modality to mammography and ultrasound, mainly for local staging of recently diagnosed breast cancers and recently as a...
openaire   +1 more source