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Total 224 results found since Jan 2013.

Development of a new body weight estimation method using head CT scout images
CONCLUSIONS: The presented new method is a potentially valuable support tool for medical staff, such as doctors and nurses, in estimating weight during emergency examinations for patients with acute conditions such as stroke when obtaining accurate weight measurements is not easily feasible.PMID:37545250 | DOI:10.3233/XST-230087
Source: Journal of X-Ray Science and Technology - August 7, 2023 Category: Radiology Authors: Tatsuya Kondo Manami Umezu Yohan Kondo Mitsuru Sato Tsutomu Kanazawa Yoshiyuki Noto 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

Parent Artery Reconstruction for Large or Giant Cerebral Aneurysms Using the Tubridge Flow Diverter: A Multicenter, Randomized, Controlled Clinical Trial (PARAT) INTERVENTIONAL
CONCLUSIONS: This trial showed an obviously higher rate of large and giant aneurysm obliteration with the Tubridge FD over Enterprise stent-assisted coiling. However, this higher obliteration rate came at the cost of a nonsignificantly higher rate of complications. Investigational site comparisons suggested that a learning curve for flow-diverter implantation should be recognized and factored into trial designs.
Source: American Journal of Neuroradiology - May 15, 2018 Category: Radiology Authors: Liu, J.- m., Zhou, Y., Li, Y., Li, T., Leng, B., Zhang, P., Liang, G., Huang, Q., Yang, P.- f., Shi, H., Zhang, J., Wan, J., He, W., Liang, C., Zhu, G., Xu, Y., Hong, B., Yang, X., Bai, W., Tian, Y., Zhang, H., Li, Z., Li, Q., Zhao, R., Fang, Y., Zhao, K. Tags: INTERVENTIONAL Source Type: research

AI reveals cause of transient ischemic attack symptoms
An artificial intelligence (AI) algorithm that analyzed free text in patient...Read more on AuntMinnie.comRelated Reading: New algorithm overcomes imaging AI challenges Machine learning can predict stroke treatment outcomes Medical groups urge endovascular training for stroke Key MRI markers link vascular brain injury to health risks AI can prescreen head CT studies for urgent findings
Source: AuntMinnie.com Headlines - January 29, 2019 Category: Radiology Source Type: news

Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial
Atrial fibrillation (AF) is associated with an increased risk of stroke, enhanced stroke severity, and other comorbidities. However, AF is often asymptomatic, and frequently remains undiagnosed until complications occur. Current screening approaches for AF lack either cost-effectiveness or diagnostic sensitivity; thus, there is interest in tools that could be used for population screening. An AF risk prediction algorithm, developed using machine learning from a UK dataset of 2,994,837 patients, was found to be more effective than existing models at identifying patients at risk of AF.
Source: Contemporary Clinical Trials - October 19, 2020 Category: Radiology Authors: Nathan R. Hill, Chris Arden, Lee Beresford-Hulme, A. John Camm, David Clifton, D. Wyn Davies, Usman Farooqui, Jason Gordon, Lara Groves, Michael Hurst, Sarah Lawton, Steven Lister, Christian Mallen, Anne-Celine Martin, Phil McEwan, Kevin G. Pollock, Jenni Source Type: research

Viz.ai launches image software for clinical trials
Artificial intelligence software developer Viz.ai has launched an application...Read more on AuntMinnie.comRelated Reading: Machine learning helps find vessel occlusions on CTA AMVC Fall 2020: AI can improve efficiency, reduce stress CMS approves payments for Viz.ai software Viz.ai debuts new stroke care AI platform Medtronic, Viz.ai team up on stroke care
Source: AuntMinnie.com Headlines - January 21, 2021 Category: Radiology Source Type: news

Use of CTA, CT perfusion up -- but for the right reasons
The use of both head CT angiography (CTA) and CT perfusion studies increase...Read more on AuntMinnie.comRelated Reading: Machine learning helps find vessel occlusions on CTA CTA spots COVID-19 in stroke patients Algorithm detects LVO stroke on multiphase CTA ISCT: Is CT perfusion dead beyond the head?
Source: AuntMinnie.com Headlines - April 23, 2021 Category: Radiology Source Type: news

SuperDTI: Ultrafast DTI and fiber tractography with deep learning
CONCLUSIONS: Our results demonstrate the feasibility of superfast DTI and fiber tractography using deep learning with as few as six DWIs directly, bypassing tensor fitting. Such a significant reduction in scan time may allow the inclusion of DTI into the clinical routine for many potential applications.PMID:34309073 | DOI:10.1002/mrm.28937
Source: Magnetic Resonance in Medicine - July 26, 2021 Category: Radiology Authors: Hongyu Li Zifei Liang Chaoyi Zhang Ruiying Liu Jing Li Weihong Zhang Dong Liang Bowen Shen Xiaoliang Zhang Yulin Ge Jiangyang Zhang Leslie Ying Source Type: research

AI spots large vessel occlusions, predicts patient outcome
Artificial intelligence (AI) was able to detect large vessel occlusions (LVO...Read more on AuntMinnie.comRelated Reading: FDA says AI doesn't exclude LVO cases from radiologist review Report: Reimbursement drives adoption of AI software for stroke How can radiologists benefit from AI in 2021? Viz.ai touts research at stroke conference Machine learning helps find vessel occlusions on CTA
Source: AuntMinnie.com Headlines - September 23, 2022 Category: Radiology Source Type: news

Outcome prediction prior to thrombectomy of the posterior circulation with machine learning
CONCLUSION: Short-term favorable and poor outcomes in patients with acute ischemic stroke of the posterior circulation can be predicted prior to thrombectomy with moderate sensitivity and high specificity with machine learning models.PMID:37038341 | DOI:10.1177/15910199231168164
Source: Interventional Neuroradiology - April 11, 2023 Category: Radiology Authors: Ludger Feyen Stefan Rohde Martin Weinzierl Marcus Katoh Patrick Haage Nico M ünnich Helge Kniep 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