Characterization of meningiomas with synthetic imaging
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DOI: 10.1002/brb3.2769
Abstract: Synthetic magnetic resonance imaging (SyMRI) is a novel quantitative and qualitative technique that permits the reconstruction of multiple image contrasts and quantitative maps from a single scan, thereby providing quantitative information and reducing scan times.… read more here.
Keywords: characterization meningiomas; synthetic imaging; meningiomas synthetic;
Personalized synthetic MR imaging with deep learning enhancements
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DOI: 10.1002/mrm.29527
Abstract: Personalized synthetic MRI (syn‐MRI) uses MR images of an individual subject acquired at a few design parameters (echo time, repetition time, flip angle) to obtain underlying parametric (ρ,T1,T2)$$ \left(\rho, {\mathrm{T}}_1,{\mathrm{T}}_2\right) $$ maps, from where MR… read more here.
Keywords: medicine; imaging deep; deep learning; personalized synthetic ... See more keywords
Intraoperative MR and Synthetic Imaging
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DOI: 10.3174/ajnr.a6373
Abstract: In the past 2 decades, intraoperative MRI (ioMRI) has been implemented in surgery for pituitary tumors, low-grade gliomas,[1][1] epilepsy, and deep brain stimulation. In neuro-oncological surgery, the adjunct of ioMRI improves the extent of resection,… read more here.
Keywords: intraoperative synthetic; synthetic imaging;
Accelerated Synthetic MRI with Deep Learning–Based Reconstruction for Pediatric Neuroimaging
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DOI: 10.3174/ajnr.a7664
Abstract: BACKGROUND AND PURPOSE: Synthetic MR imaging is a time-efficient technique. However, its rather long scan time can be challenging for children. This study aimed to evaluate the clinical feasibility of accelerated synthetic MR imaging with… read more here.
Keywords: based reconstruction; learning; deep learning; learning based ... See more keywords