Results 31 to 40 of about 1,652,342 (214)

Multi-centre reproducibility of diffusion MRI parameters for clinical sequences in the brain. [PDF]

, 2015
The purpose of this work was to assess the reproducibility of diffusion imaging, and in particular the apparent diffusion coefficient (ADC), intra-voxel incoherent motion (IVIM) parameters and diffusion tensor imaging (DTI) parameters, across multiple ...
Raschke, F, Leach, MO, Rossiter, J, Clayden, JD, Miyazaki, K, Morgan, PS, Rodriguez, D, Wilson, M, Saunders, DE, Auer, DP, Peet, Andrew, Barrick, TR, Peet, AC, Davies, NP, Grundy, R, Clark, CA, Clark, Christopher, Hales, PW, Wilson, Martin; id_orcid, Gwilliam, MN, Grech-Sollars, M, Howe, FA, Grech-Sollars, Matthew, Gill, SK, Banks, T   +24 more
core   +1 more source

Biological markers and severe head trauma. Where are we?

Brazilian Neurosurgery, 2012
Traumatic brain injury (TBI) constitutes a major health and socioeconomic problem throughout the world. Despite the significant advances in neuroradiology and cerebral monitoring it is still difficult to measure the degree of primary brain injury and ...
Leonardo Christiaan Welling, Vinicius Monteiro Paula Guirado, Glauce Damásio Costa, Eberval Gadelha Figueiredo, Almir Ferreira de Andrade, Manoel Jacobsen Teixeira   +5 more
doaj   +1 more source

Deep learning in Neuroradiology [PDF]

, 2023
In recent years, deep learning has revolutionized the field of neuroradiology, offering unprecedented opportunities for automated analysis, diagnosis, and treatment planning in various neurological disorders.
Rahul Kumar Rathor
core  

Application of machine learning in neuroradiology (literature review)

Українська Інтервенційна Нейрорадіологія та Хірургія
Neuroradiology is a branch of medical imaging focused on diagnosing diseases of the brain, spine, and nervous system using radiological methods (computed tomography, magnetic resonance imaging, positron emission tomography, etc.).
S.V. Konotopchyk, D.V. Shchehlov, S.O. Kolomiichenko, Yu.P. Ternytska, O.F. Sydorenko, M.Yu. Mamonova, A.О. Pysarenko, V.O. Svyrydiuk, M.B. Vyval   +8 more
doaj   +1 more source

Modified pressure-cooker technique (PCT) using extra-soft Kaneka coils improves embolization of high-grade cerebral arteriovenous malformations: a technical note

Egyptian Journal of Neurosurgery, 2023
Endovascular embolization techniques are showing an extraordinary potential to treat patients suffering from complex neurovascular malformations.
Mahmut Yüksel, Marios Psychogios, Kristine Blackham   +2 more
doaj   +1 more source

Bridging Imaging and Therapy: A Review of Advances in Neuroradiology and Neuro-Oncology

Clinical and Translational Neuroscience
Neuroradiology and neuro-oncology are rapidly emerging fields in the diagnosis and treatment of central nervous system (CNS) diseases, including brain tumors.
Venkatraman Pitchaikannu, Subramani Vellaiyan, Shweta Kedia, Vivek Tandon, Rajinder Kumar, Deepak Agarwal, Manoj Phalak, Satish Kumar Verma, Dattaraj P. Sawarkar, Kanwaljeet Garg, Gopishankar Natanasabapathi   +10 more
doaj   +1 more source

How stable is quantitative MRI? – Assessment of intra- and inter-scanner-model reproducibility using identical acquisition sequences and data analysis programs

NeuroImage, 2020
Background: Quantitative MRI (qMRI) techniques allow assessing cerebral tissue properties. However, previous studies on the accuracy of quantitative T1 and T2 mapping reported a scanner model bias of up to 10% for T1 and up to 23% for T2.
René-Maxime Gracien, Michelle Maiworm, Nadine Brüche, Manoj Shrestha, Ulrike Nöth, Elke Hattingen, Marlies Wagner, Ralf Deichmann   +7 more
doaj   +1 more source

Generative Adversarial Networks in Brain Imaging: A Narrative Review

Journal of Imaging, 2022
Artificial intelligence (AI) is expected to have a major effect on radiology as it demonstrated remarkable progress in many clinical tasks, mostly regarding the detection, segmentation, classification, monitoring, and prediction of diseases.
Maria Elena Laino, Pierandrea Cancian, Letterio Salvatore Politi, Matteo Giovanni Della Porta, Luca Saba, Victor Savevski   +5 more
doaj   +1 more source

Pattern classification of large-scale functional brain networks : identification of informative neuroimaging markers for epilepsy [PDF]

, 2012
The accurate prediction of general neuropsychiatric disorders, on an individual basis, using resting-state functional magnetic resonance imaging (fMRI) is a challenging task of great clinical significance.
GuangMing Lu, ZhengGe Wang, GuangMing Lu (164664), Cheng, Wei, Jie Zhang (64655), Zhang, ZhiQiang, Jie Zhang, Wang, ZhengGe, Jianfeng Feng (48703), ZhiQiang Zhang, Wei Cheng (52808), ZhengGe Wang (164658), Feng, Jianfeng, Wei Cheng, Jianfeng Feng, WenLian Lu (164662), WenLian Lu, ZhiQiang Zhang (164660), Zhang, Jie, Lu, Wenlian, Lu, GuangMing   +20 more
core   +2 more sources

Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images

Algorithms, 2009
This paper reviews the basics and recent researches of computer-aided diagnosis (CAD) systems for assisting neuroradiologists in detection of brain diseases, e.g., asymptomatic unruptured aneurysms, Alzheimer's disease, vascular dementia, and multiple ...
Yasuo Yamashita, Hidetaka Arimura, Taiki Magome, Daisuke Yamamoto   +3 more
doaj   +1 more source