AIMC Topic: Magnetic Resonance Spectroscopy
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Deep learning-based recurrence detector on magnetic resonance scans in nasopharyngeal carcinoma: A multicenter study.
European journal of radiology
Sep 14, 2023
OBJECTIVES: Accuracy in the detection of recurrent nasopharyngeal carcinoma (NPC) on follow-up magnetic resonance (MR) scans needs to be improved.
Fast deep learning reconstruction techniques for preclinical magnetic resonance fingerprinting.
NMR in biomedicine
Sep 5, 2023
We propose a deep learning (DL) model and a hyperparameter optimization strategy to reconstruct T and T maps acquired with the magnetic resonance fingerprinting (MRF) methodology. We applied two different MRF sequence routines to acquire images of ex...
Deep-learning prostate cancer detection and segmentation on biparametric versus multiparametric magnetic resonance imaging: Added value of dynamic contrast-enhanced imaging.
International journal of urology : official journal of the Japanese Urological Association
Aug 22, 2023
OBJECTIVES: To develop diagnostic algorithms of multisequence prostate magnetic resonance imaging for cancer detection and segmentation using deep learning and explore values of dynamic contrast-enhanced imaging in multiparametric imaging, compared w...
Developing and deploying deep learning models in brain magnetic resonance imaging: A review.
NMR in biomedicine
Aug 4, 2023
Magnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the burden on radiologists and MR technologists, and improve throughput. The easy accessibility of DL tools has resulted in a rapid increase of DL models...
Deep learning pipeline for quality filtering of MRSI spectra.
NMR in biomedicine
Jul 30, 2023
With the rise of novel 3D magnetic resonance spectroscopy imaging (MRSI) acquisition protocols in clinical practice, which are capable of capturing a large number of spectra from a subject's brain, there is a need for an automated preprocessing pipel...
Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline.
European radiology
Jul 22, 2023
OBJECTIVES: This study aims at a fully automatic pipeline for measuring the magnetic resonance parkinsonism index (MRPI) using deep learning methods.
AI-designed NMR spectroscopy RF pulses for fast acquisition at high and ultra-high magnetic fields.
Nature communications
Jul 12, 2023
Nuclear magnetic resonance (NMR) spectroscopy is a powerful high-resolution tool for characterizing biomacromolecular structure, dynamics, and interactions. However, the lengthy longitudinal relaxation of the nuclear spins significantly extends the t...
Magnetic Resonance Spectroscopy Spectral Registration Using Deep Learning.
Journal of magnetic resonance imaging : JMRI
Jul 4, 2023
BACKGROUND: Deep learning-based methods have been successfully applied to MRI image registration. However, there is a lack of deep learning-based registration methods for magnetic resonance spectroscopy (MRS) spectral registration (SR).
A review of machine learning applications for the proton MR spectroscopy workflow.
Magnetic resonance in medicine
Jul 4, 2023
This literature review presents a comprehensive overview of machine learning (ML) applications in proton MR spectroscopy (MRS). As the use of ML techniques in MRS continues to grow, this review aims to provide the MRS community with a structured over...
DC-cycleGAN: Bidirectional CT-to-MR synthesis from unpaired data.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 30, 2023
Magnetic resonance (MR) and computer tomography (CT) images are two typical types of medical images that provide mutually-complementary information for accurate clinical diagnosis and treatment. However, obtaining both images may be limited due to so...
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