Results 81 to 90 of about 2,875,040 (196)

Research progress on application of diffusion weighted imaging and introvoxel incoherent motion in the diagnosis of diabetic nephropathy

Linchuang shenzangbing zazhi, 2020
Diabetic nephropathy(DN)is one of main chronic microvascular complications of diabetes mellitus(DM).Previous early diagnosis of DN mainly relied on medical history,laboratory examination and renal biopsy,but laboratory examination was easily affected by ...
ZHENG Zai-qiong, WANG Deng-wei, LI Huan, XIE Xi-sheng, FENG Jie   +4 more
doaj  

Simultaneous T2, T2*, and R2′ Mapping for Multiple Sclerosis Using Nonlinear Model‐Based Reconstruction of Undersampled Radial RARE‐EPI MRI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1872-1892, October 2026.
ABSTRACT Purpose To demonstrate the synergy of undersampled radial 2in1‐RARE‐EPI acquisition and nonlinear model‐based reconstruction for accelerated and simultaneous T2, T2*, and R2′ mapping in brains of patients with multiple sclerosis (MS). Methods 2in1‐RARE‐EPI combines a RARE module with an EPI module to capture T2 and T2* information.
Jose Raul Velasquez Vides, Carl J. J. Herrmann, Thomas Gladytz, Hoby P. Hetherington, Hendrik Mattern, Xiaoqing Wang, Jason M. Millward, Shahriar Shalikar, Igor Fabian Tellez Ceja, Beate Endemann, Sonia Waiczies, Joseph Kuchling, Friedemann Paul, Georg Rose, Min‐Chi Ku, Franz Schmitt, Thoralf Niendorf   +16 more
wiley   +1 more source

Technical Feasibility of IVIM for Prostate Cancer Imaging Using High‐Amplitude Whole‐Body Gradient System With Spiral Readout and Velocity‐Compensated Diffusion Encoding

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
The combination of velocity‐compensated diffusion encoding, spiral readout and strong gradients enabled high‐quality prostate IVIM imaging, offering a promising framework for the development of reliable IVIM‐based biomarkers for prostate cancer detection, characterisation and monitoring.
Malwina Molendowska, Ivan A. Rashid, Kieran Foley, Lars Mueller, Lars E. Olsson, Patrik Brynolfsson, Filip Szczepankiewicz   +6 more
wiley   +1 more source

Supplemental material for Detecting impaired function of renal allografts at the early stage after transplantation using intravoxel incoherent motion imaging

, 2018
Supplemental Material for Detecting impaired function of renal allografts at the early stage after transplantation using intravoxel incoherent motion imaging by Lihua Chen, Tao Ren, Panli Zuo, Yingxin Fu, Shuang Xia and Wen Shen in Acta ...
Lihua Chen (141443), Yingxin Fu (559302), Panli Zuo (5992286), Wen Shen (624469), Shuang Xia (290415), Tao Ren (72849)   +5 more
core   +1 more source

Reply to: The Physical Foundation of CSF‐IVIM

Magnetic Resonance in Medicine, EarlyView.
Yoshitaka Bito, Tomohiro Otani, Shigeki Yamada, Yoshiyuki Watanabe, Shigeo Wada   +4 more
wiley   +1 more source

Empirical noise mapping guides optimal region‐of‐interest selection for accurate noise estimation in prostate DWI

Journal of Applied Clinical Medical Physics, Volume 27, Issue 9, September 2026.
Abstract Background Signal‐to‐noise ratio (SNR) measurements are important for quality assurance, especially when quantitative MRI markers or new hardware are being developed or evaluated. Regions of low signal or assumed uniform signal are used for SNR estimation in a variety of MR image types, but this is unreliable due to spatial heterogeneity of ...
Milica Medved, Aritrick Chatterjee, Ambereen Yousuf, Batuhan Gundogdu, Aytekin Oto, Gregory S. Karczmar   +5 more
wiley   +1 more source

Accurate estimation of intravoxel incoherent motion parameters based on implicit neural representation

Medical Physics, Volume 53, Issue 8, August 2026.
Abstract BackgroundIntravoxel incoherent motion (IVIM) diffusion‐weighted imaging has important value in treatment response monitoring. However, traditional voxel‐wise independent fitting methods are highly sensitive to noise and do not utilize spatial correlation, resulting in unstable parameter estimation. Although existing deep learning methods have
Yunxiang Li, Yen‐Peng Liao, Yan Dai, Jie Deng, You Zhang   +4 more
wiley   +1 more source

Exploratory assessment of cerebrospinal fluid-related microdynamics after mild traumatic brain injury using intravoxel incoherent motion magnetic resonance imaging

Frontiers in Neuroscience
AimThis study aimed to characterize regional alterations in cerebrospinal fluid (CSF) microdynamics following mild traumatic brain injury (TBI) using intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) and compare f-value–based CSF ...
Shinya Watanabe, Shinya Watanabe, Yasushi Shibata, Yasushi Shibata, Eiichi Ishikawa   +4 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

Super-Resolution of Intravoxel Incoherent Motion Imaging Based on Multisimilarity

IEEE Sensors Journal, 2020
Intravoxel incoherent motion imaging (IVIM) is a new magnetic resonance imaging (MRI) technique that can detect both diffusion and pseudo perfusion microscopic tissue information. However, it requires to acquire the diffusion-weighted (DW) images with multiple b-values, which leads to long acquisition time. To reduce the time, the spatial resolution of
Huang, Jiqing, Wang, Lihui, Qin, Jin, Chen, Yi, Cheng, Xinyu, Zhu, Yuemin   +5 more
openaire   +2 more sources