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 …

Magnetic resonance spectroscopic imaging (MRSI) offers considerable promise for
monitoring metabolic alterations associated with disease or injury; however, to date, these …

Background The reliability and validity of magnetic resonance imaging (MRI) for detecting
neoplastic, inflammatory, and cerebrovascular brain lesions in dogs are unknown …

Imaging is a key component in the management of brain tumours, with MRI being the
preferred modality for most clinical scenarios. However, although conventional MRI provides …

The purpose of this study was to evaluate whether single‐voxel 1H MRS could add useful
information to conventional MRI in the preoperative characterisation of the type and grade of …

Proton magnetic resonance (MR) spectroscopy of the brain is a non-invasive, in vivo
technique that allows investigation into regional chemical environments. Its complementary …

Metabolic fingerprints are valuable biomarkers for diseases that are associated with
metabolic disorders. 1H magnetic resonance spectroscopy (MRS) is a unique noninvasive …

Imaging plays a fundamental role in the managing childhood neurologic, neurosurgical and
neuro-oncological disease. Employing multi-parametric MRI techniques, such as …

Targeted therapeutic approaches are increasingly being implemented in the clinic, but early
detection of response frequently presents a challenge as many new therapies lead to …

Purpose To investigate and compare human judgment and machine learning tools for
quality assessment of clinical MR spectra of brain tumors. Methods A very large set of 2574 …