Radiomics in brain tumor: image assessment, quantitative feature descriptors, and machine-learning approaches
Radiomics describes a broad set of computational methods that extract quantitative features
from radiographic images. The resulting features can be used to inform imaging diagnosis …
from radiographic images. The resulting features can be used to inform imaging diagnosis …
MRI-guided radiation therapy: an emerging paradigm in adaptive radiation oncology
Radiation therapy (RT) continues to be one of the mainstays of cancer treatment.
Considerable efforts have been recently devoted to integrating MRI into clinical RT planning …
Considerable efforts have been recently devoted to integrating MRI into clinical RT planning …
Magnetic resonance fingerprinting
Magnetic resonance is an exceptionally powerful and versatile measurement technique. The
basic structure of a magnetic resonance experiment has remained largely unchanged for …
basic structure of a magnetic resonance experiment has remained largely unchanged for …
Non-invasive tumor decoding and phenotyping of cerebral gliomas utilizing multiparametric 18F-FET PET-MRI and MR Fingerprinting
J Haubold, A Demircioglu, M Gratz, M Glas… - European Journal of …, 2020 - Springer
Objectives The introduction of the 2016 WHO classification of CNS tumors has made the
combined molecular and histopathological characterization of tumors a pivotal part of glioma …
combined molecular and histopathological characterization of tumors a pivotal part of glioma …
Advanced MR techniques for preoperative glioma characterization: Part 1
L Hirschler, N Sollmann… - Journal of Magnetic …, 2023 - Wiley Online Library
Preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, brain tumors
with dismal outcomes due to their infiltrative properties, still rely on conventional structural …
with dismal outcomes due to their infiltrative properties, still rely on conventional structural …
Reproducibility and repeatability of MR fingerprinting relaxometry in the human brain
G Körzdörfer, R Kirsch, K Liu, J Pfeuffer, B Hensel… - Radiology, 2019 - pubs.rsna.org
Background Only sparse literature investigates the reproducibility and repeatability of
relaxometry methods in MRI. However, statistical data on reproducibility and repeatability of …
relaxometry methods in MRI. However, statistical data on reproducibility and repeatability of …
“Real world” use of a highly reliable imaging sign:“T2-FLAIR mismatch” for identification of IDH mutant astrocytomas
R Jain, DR Johnson, SH Patel, M Castillo… - Neuro …, 2020 - academic.oup.com
AbstractThe T2-FLAIR (fluid attenuated inversion recovery) mismatch sign is an easily
detectable imaging sign on routine clinical MRI studies that suggests diagnosis of isocitrate …
detectable imaging sign on routine clinical MRI studies that suggests diagnosis of isocitrate …
Review and consensus recommendations on clinical APT‐weighted imaging approaches at 3T: application to brain tumors
Amide proton transfer‐weighted (APTw) MR imaging shows promise as a biomarker of brain
tumor status. Currently used APTw MRI pulse sequences and protocols vary substantially …
tumor status. Currently used APTw MRI pulse sequences and protocols vary substantially …
Synthetic MRI: technologies and applications in neuroradiology
Synthetic MRI is a technique that synthesizes contrast‐weighted images from multicontrast
MRI data. There have been advances in synthetic MRI since the technique was introduced …
MRI data. There have been advances in synthetic MRI since the technique was introduced …
Artificial intelligence in multiparametric magnetic resonance imaging: A review
Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …