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Assessing the impact of different penalty factors of the Bayesian reconstruction algorithm Q.Clear on in vivo low count kinetic analysis of [11C]PHNO brain PET-MR studies
IntroductionQ.Clear is a Bayesian penalised likelihood (BPL) reconstruction algorithm available on General Electric (GE) Positron Emission Tomography...
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Complexities of deep learning-based undersampled MR image reconstruction
Artificial intelligence has opened a new path of innovation in magnetic resonance (MR) image reconstruction of undersampled k-space acquisitions....
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Feature Fusion for Multi-Coil Compressed MR Image Reconstruction
Magnetic resonance imaging (MRI) occupies a pivotal position within contemporary diagnostic imaging modalities, offering non-invasive and...
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Correlations between intravoxel incoherent motion–derived fast diffusion and perfusion fraction parameters and VEGF- and MIB-1-positive rates in brain gliomas: an intraoperative MR-navigated, biopsy-based histopathologic study
ObjectivesTo explore the correlations between histopathologic findings and intravoxel incoherent motion (IVIM)–derived perfusion and diffusion...
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MR Imaging Characteristics of Solitary Fibrous Tumors of the Orbit
PurposeSolitary fibrous tumor (SFT) of the orbit is a rare tumor that was first described in 1994. We aimed to investigate its imaging...
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Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy
BackgroundNeuronavigation of preoperative MRI is limited by several errors. Intraoperative ultrasound (iUS) with navigated probes that provide...
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Impact of magnetic resonance imaging-related geometric distortion of dose distribution in fractionated stereotactic radiotherapy in patients with brain metastases
PurposeThe geometric distortion related to magnetic resonance (MR) imaging in a diagnostic radiology (MR DR ) and radiotherapy (MR RT ) setup is...
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Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study
BackgroundMR fingerprinting (MRF) is a novel imaging method proposed for the diagnosis of Multiple Sclerosis (MS). This study aims to determine if MR...
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Assessment of bidirectional relationships between brain imaging-derived phenotypes and stroke: a Mendelian randomization study
BackgroundStroke is a major cause of mortality and long-term disability worldwide. Whether the associations between brain imaging-derived phenotypes...
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Assessment of Brain Tumour Perfusion Using Early-Phase 18F-FET PET: Comparison with Perfusion-Weighted MRI
PurposeMorphological imaging using MRI is essential for brain tumour diagnostics. Dynamic susceptibility contrast (DSC) perfusion-weighted MRI (PWI),...
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Association of smoking with brain gray and white matter volume: a Mendelian randomization study
BackgroundObservational studies have found a significant association between smoking and smaller gray matter volume, but this finding was limited by...
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Improving MR image quality with a multi-task model, using convolutional losses
PurposeDuring the acquisition of MRI data, patient-, sequence-, or hardware-related factors can introduce artefacts that degrade image quality. Four...
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MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images
ObjectivesThe study aimed to develop a deep neural network (DNN)–based noise reduction and image quality improvement by only using routine clinical...
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Imaging the brain: diagnosis aided by structural features on neuroimaging studies
The use of neuroimaging allows the ophthalmologist to identify structural lesions in the orbit or along the neuroaxis that allow for more accurate...
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Metabolic changes assessed by 1H MR spectroscopy in the corpus callosum of post-COVID patients
ObjectiveMany patients with long COVID experience neurological and psychological symptoms. Signal abnormalities on MR images in the corpus callosum...
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Performance evaluation of the Q.Clear reconstruction framework versus conventional reconstruction algorithms for quantitative brain PET-MR studies
BackgroundQ.Clear is a Bayesian penalized likelihood (BPL) reconstruction algorithm that presents improvements in signal-to-noise ratio (SNR) in...
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Genetic architecture of brain age and its causal relations with brain and mental disorders
The difference between chronological age and the apparent age of the brain estimated from brain imaging data—the brain age gap (BAG)—is widely...
