Results 91 to 100 of about 13,431 (262)
ABSTRACT Background Traditional methods for evaluating split renal function, including contrast‐enhanced CT and radionuclide imaging, have limitations related to ionizing radiation or potentially nephrotoxic contrast agents. Purpose To investigate the value of renal blood flow (RBF)‐weighted estimated glomerular filtration rate (eGFR) derived from ...
Zhiyong Lin +7 more
wiley +1 more source
Cerebral Blood Transit in Sickle Cell Anemia
ABSTRACT Background Sickle cell anemia (SCA) patients upregulate cerebral blood flow to compensate for decreased arterial oxygen content. Such hyperemic conditions can manifest as venous hyperintense signal on arterial spin labeling (ASL) MRI, which may reflect faster capillary blood transit, altered oxygen extraction fraction (OEF), and infarct risk ...
Wesley T. Richerson +10 more
wiley +1 more source
ABSTRACT Boron neutron capture therapy (BNCT) is a targeted radiotherapy that exploits the selective accumulation of the 10B isotope within tumors, followed by irradiation with low‐energy neutrons to induce high linear energy transfer particles with short path lengths, resulting in localized tumor cell destruction while sparing surrounding healthy ...
Christoph Selg +2 more
wiley +1 more source
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu +5 more
wiley +1 more source
ABSTRACT Purpose To develop a slice‐wise blurring‐free and densely sampled TE‐resolved multiple‐TE (mTE) ASL sequence (TASL) for measuring blood–brain barrier (BBB) water exchange time. Methods A 3D TSE spiral‐readout pCASL sequence was modified to enable TE‐resolved acquisition.
Bo Li +11 more
wiley +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
ABSTRACT Purpose To enable flexible dynamic and DCE MRI with low acoustic noise and high spatiotemporal resolution using zero echo time (ZTE) imaging. Methods This work proposes Arc‐ZTE, a technique in which the readout gradients of ZTE are continuously‐slewed to form arcs in k‐space that are sequentially rotated to yield an incoherent trajectory ...
Shreya Ramachandran +5 more
wiley +1 more source
Aphasic status epilepticus due to Epstein–Barr virus meningoencephalitis – A clinical vignette
Epileptic Disorders, EarlyView.
Gemma Bassani +6 more
wiley +1 more source
Reference‐Superimposed Reconstruction (RS‐Recon) for Arterial Spin Labeling
ABSTRACT Purpose Conventional arterial spin labeling (ASL) reconstruction suffers from sign‐flipping errors and/or noise bias under strong background suppression (BS), limiting SNR optimization. We propose reference‐superimposed reconstruction (RS‐recon) to enable ideal BS and robust signal recovery.
Jia Guo
wiley +1 more source
Patients in intensive care units often experience lung injuries, complicated by brain problems. Advanced laboratory tools, organoids, and organs‐on‐chips facilitated the study of multiorgan interactions, help us understand the communication between the lungs and brain.
Wanyi Zhang +5 more
wiley +1 more source

