Results 171 to 180 of about 115,711 (260)
Generalizable preconditioning strategies for MAP PET reconstruction using Poisson likelihood. [PDF]
Colombo MN, Paganoni M, Presotto L.
europepmc +1 more source
T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐Weighted Imaging of Water, Fat and Silicone
ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and ...
Aizada Nurdinova +6 more
wiley +1 more source
Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification. [PDF]
Sheikh R +6 more
europepmc +1 more source
ABSTRACT Purpose To achieve high resolution (≤ 1 mm isotropic) whole‐brain perfusion imaging at 7 T with next generation ASL pulse sequence, reconstruction algorithm, and MRI hardware. Methods We capitalized on three major innovations: (1) FLASH‐based pseudo‐Continuous ASL (pCASL) sequence with rotated golden‐angle stack‐of‐spirals (rGA‐SoS) sampling; (
Chenyang Zhao +8 more
wiley +1 more source
A distribution-aware semi-supervised pipeline for cost-effective neuron segmentation. [PDF]
Zhang Y +5 more
europepmc +1 more source
ABSTRACT Purpose To evaluate the correspondence between myelin water fraction (MWF) estimates derived from multi‐echo spin echo (MESE) and multi‐echo gradient echo (MGRE) imaging in fixed mouse brain tissue, using a panel of myelin basic protein (Mbp) enhancer‐edited mouse lines exhibiting graded hypomyelination.
Vladimir Grouza +11 more
wiley +1 more source
ABSTRACT Purpose The aim of this study is to improve the traditional T1‐weighted (T1w) over T2‐weighted (T2w) ratio as a proxy for myelin by investigating the optimal T2w TE and combination of exponent‐weighted T1w and T2w images (T1wx1/T2wx2$$ \mathrm{T}1{\mathrm{w}}^{x_1}/\mathrm{T}2{\mathrm{w}}^{x_2} $$).
Simone Monachino +7 more
wiley +1 more source
Explainable AI-driven MRI-based brain tumor classification: a novel deep learning approach. [PDF]
Srinivas VR, Parvathi R.
europepmc +1 more source
Respiratory Motion‐Corrected Model‐Based 3D Water‐Fat MRA of the Thorax at 0.55 T
ABSTRACT Purpose The goal of this study was to develop a 5‐min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water‐fat separation. Methods For full data efficiency, the proposed method combined self‐gating with retrospective motion correction while ensuring a predictable 5‐min scan time.
Robert Stoll +5 more
wiley +1 more source

