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Total 224 results found since Jan 2013.

MRI shows possible cause for attention woes after stroke
MRI scans appear to have uncovered abnormalities in certain brain pathways...Read more on AuntMinnie.comRelated Reading: MRI shows smaller brain volume in kids with ADHD Machine learning predicts working-memory performance MRI, radiomics help diagnose, discern ADHD subtypes DTI shows how music could help kids with autism, ADHD 3D MRI shows risks in premature infants
Source: AuntMinnie.com Headlines - May 9, 2018 Category: Radiology Source Type: news

Interventional Radiology Training Using a Dynamic Medical Immersive Training Environment  (DynaMITE)
Radiology and interventional radiology training has evolved in the last  few decades, facilitated by advances in technology [1]. Increasing availability of web-based educational materials, both free and subscription-based, has allowed access to high-quality educational content [2]. In the past few years, there has been a resurgence in the field of immersive and virtu al reality (VR), driven by the entertainment and video game industries. Medical specialties are learning how to apply these immersive technologies for surgical skills training, stroke rehabilitation [3], and management of obstetrical emergencies [4], for example.
Source: Journal of the American College of Radiology : JACR - March 13, 2018 Category: Radiology Authors: Colin J. McCarthy, Alvin Y.C. Yu, Synho Do, Steven L. Dawson, Raul N. Uppot Tags: Case studies in training and education Source Type: research

Infervision debuts AI stroke screening software
Chinese artificial intelligence (AI) software developer Infervision unveiled...Read more on AuntMinnie.comRelated Reading: AI developer Infervision adds to coffers AI start-up eyes deep learning to aid imaging in China
Source: AuntMinnie.com Headlines - December 5, 2017 Category: Radiology Source Type: news

Time-resolved CT assessment of collaterals as imaging biomarkers to predict clinical outcomes in acute ischemic stroke
ConclusionOur data results reinforce the importance of careful patient selection for recanalization therapy to avoid futile recanalization. The paucity of collaterals predicts poor clinical outcome despite recanalization. On the other hand, robust collaterals warrant consideration for recanalization therapy given the better odds of good clinical outcome.
Source: Neuroradiology - September 1, 2017 Category: Radiology Source Type: research

Retriever first embolectomy (ReFirE): An alternative approach for challenging cervical access.
Authors: Behme D, Knauth M, Psychogios MN Abstract After endovascular treatment became the standard of care procedure for acute ischaemic stroke with large artery occlusion in 2015 the number of performed interventions has increased dramatically. Especially because age is no exclusion criterion for endovascular treatment, a relevant number of patients with difficult to access carotid arteries has to be treated. In these patients a direct puncture of the carotid is a valuable tool but is associated with severe complications and an initial learning curve. We therefore developed the so called retriever first embolecto...
Source: Interventional Neuroradiology - May 1, 2017 Category: Radiology Tags: Interv Neuroradiol Source Type: research

Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs
In conclusion, we have developed and validated an accurate automated approach to segment CSF and calculate its shifts on serial CT scans. This algorithm will allow us to efficiently and accurately measure the evolution of cerebral edema in future studies including large multi-site patient populations.
Source: NeuroImage: Clinical - September 25, 2016 Category: Radiology Source Type: research

Robust low-dose dynamic cerebral perfusion CT image restoration via coupled dictionary learning scheme.
Authors: Tian X, Zeng D, Zhang S, Huang J, Zhang H, He J, Lu L, Xi W, Ma J, Bian Z Abstract Dynamic cerebral perfusion x-ray computed tomography (PCT) imaging has been advocated to quantitatively and qualitatively assess hemodynamic parameters in the diagnosis of acute stroke or chronic cerebrovascular diseases. However, the associated radiation dose is a significant concern to patients due to its dynamic scan protocol. To address this issue, in this paper we propose an image restoration method by utilizing coupled dictionary learning (CDL) scheme to yield clinically acceptable PCT images with low-dose data acquisi...
Source: Journal of X-Ray Science and Technology - September 11, 2016 Category: Radiology Tags: J Xray Sci Technol Source Type: research

Decoding post-stroke motor function from structural brain imaging
Publication date: Available online 2 August 2016 Source:NeuroImage: Clinical Author(s): Jane M. Rondina, Maurizio Filippone, Mark Girolami, Nick S. Ward Clinical research based on neuroimaging data has benefited from machine learning methods, which have the ability to provide individualized predictions and to account for the interaction among units of information in the brain. Application of machine learning in structural imaging to investigate diseases that involve brain injury presents an additional challenge, especially in conditions like stroke, due to the high variability across patients regarding characteristics of ...
Source: NeuroImage: Clinical - August 2, 2016 Category: Radiology Source Type: research

Outcomes of middle cerebral artery angioplasty and stenting with Wingspan at a high-volume center
Conclusion Intracranial stenting of MCA stenoses may have the potential of better clinical outcomes if patients are properly selected and treated by an experienced operator at a high-volume center.
Source: Neuroradiology - October 29, 2015 Category: Radiology Source Type: research

Contrast-enhanced ultrasound to predict the risk of microembolization during carotid artery stenting
Conclusion Contrast enhancement of the carotid plaque is strongly associated with post-procedural microembolization and for this reason it can be considered a reliable tool for an accurate selection of patients undergoing this endovascular treatment. However, the neurocognitive test scores performed in this study are not enough sensible to appreciate the impact of the neurological injury on the day life activities.
Source: La Radiologia Medica - March 25, 2015 Category: Radiology Source Type: research

Accelerated three‐dimensional cine phase contrast imaging using randomly undersampled echo planar imaging with compressed sensing reconstruction
The aim of this study was to implement and evaluate an accelerated three‐dimensional (3D) cine phase contrast MRI sequence by combining a randomly sampled 3D k‐space acquisition sequence with an echo planar imaging (EPI) readout. An accelerated 3D cine phase contrast MRI sequence was implemented by combining EPI readout with randomly undersampled 3D k‐space data suitable for compressed sensing (CS) reconstruction. The undersampled data were then reconstructed using low‐dimensional structural self‐learning and thresholding (LOST). 3D phase contrast MRI was acquired in 11 healthy adults using an overall acceleratio...
Source: NMR in Biomedicine - October 16, 2014 Category: Radiology Authors: Tamer A. Basha, Mehmet Akçakaya, Beth Goddu, Sophie Berg, Reza Nezafat Tags: Research article Source Type: research

Can Shape Analysis Differentiate Free-floating Internal Carotid Artery Thrombus from Atherosclerotic Plaque in Patients Evaluated with CTA for Stroke or Transient Ischemic Attack?
Conclusions: We identified five quantitative shape descriptors of carotid FFT. This shape “signature” shows potential for supplementing conventional lesion characterization in cases of suspected FFT.
Source: Academic Radiology - February 8, 2014 Category: Radiology Authors: Rebecca E. Thornhill, Cheemun Lum, Arash Jaberi, Pawel Stefanski, Carlos H. Torres, Franco Momoli, William Petrcich, Dar Dowlatshahi Tags: Original Investigations Source Type: research

Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning
Graphical abstract: Highlights: ► Dictionaries are learned from high-dose CTP data for low-dose CBF estimation. ► Temporal convolution model is combined with spatial dictionary mapping prior. ► Evaluation on in vivo aneurysmal subarachnoid hemorrhage and normal patients. ► Outperform existing methods in CBF estimation for low-dose CTP data. ► Improve the differentiation between ischemic and normal tissues in the brain.Abstract: Computed tomography perfusion (CTP) is an important functional imaging modality in the evaluation of cerebrovascular diseases, particularly in acute stroke and vasospasm. However, the post...
Source: Medical Image Analysis - March 7, 2013 Category: Radiology Authors: Ruogu Fang, Tsuhan Chen, Pina C. Sanelli Source Type: research