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Specialty: Radiology
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Total 224 results found since Jan 2013.
FReSCO: Flow Reconstruction and Segmentation for low-latency Cardiac Output monitoring using deep artifact suppression and segmentation
CONCLUSIONS: The FReSCO framework was successfully demonstrated for real-time monitoring of CO during exercise and could provide a convenient tool for assessment of the hemodynamic response to a range of stressors.PMID:35781891 | DOI:10.1002/mrm.29374
Source: Magnetic Resonance in Medicine - July 5, 2022 Category: Radiology Authors: Olivier Jaubert Javier Montalt-Tordera James Brown Daniel Knight Simon Arridge Jennifer Steeden Vivek Muthurangu Source Type: research
Brain PET and Cerebrovascular Disease
Cerebrovascular disease encompasses a broad spectrum of diseases such as stroke, hemorrhage, and cognitive decline associated with vascular narrowing, obstruction, rupture, and inflammation, among other issues. Recent advances in hardware and software have led to improvements in brain PET. Although still in its infancy, machine learning using convolutional neural networks is gaining traction in this area, often with a focus on providing high-quality images with reduced noise using a shorter acquisition time or less radiation exposure for the patient.
Source: PET Clinics - October 27, 2022 Category: Radiology Authors: Katarina Chiam, Louis Lee, Phillip H. Kuo, Vincent C. Gaudet, Sandra E. Black, Katherine A. Zukotynski Source Type: research
Deep learning based on carotid transverse B-mode scan videos for the diagnosis of carotid plaque: a prospective multicenter study
ConclusionsThe DL model based on US videos corresponding to real examinations showed robust performance for plaque detection and significantly improved the diagnostic performance of junior radiologists.Key Points• The deep learning model based on US videos conforming to real examinations showed robust performance for plaque detection.• Computer-aided diagnosis can significantly improve the diagnostic performance of junior radiologists in clinical practice.
Source: European Radiology - December 13, 2022 Category: Radiology Source Type: research
Subtraction technique improves heart stenosis diagnosis on CCTA
Using subtraction coronary CT angiography (CCTA) boosts diagnostic accurac...Read more on AuntMinnie.comRelated Reading:
SCCT offers CCTA guidelines for patients with acute chest pain
AI spots large vessel occlusions, predicts patient outcome
Deep-learning reconstruction, subtraction spots in-stent restenosis
Photon-counting CT improves image quality of coronary CTA
CT angio offers late thrombectomy option to stroke patients
Source: AuntMinnie.com Headlines - January 4, 2023 Category: Radiology Source Type: news
Rapid MRI protocol leads to reduced image acquisition times
A rapid lumbar MRI protocol that uses 3D imaging and deep learning reconstructio...Read more on AuntMinnie.comRelated Reading:
Reducing use of sedation for pediatric MRI cuts healthcare costs
Ultrafast MRI shows promise in predicting DCIS upstaging
Ultrafast DCE-MRI helps predict breast cancer treatment response
Is abbreviated MRI useful for women at average breast cancer risk?
Rapid MRI for ED stroke evaluation cuts costs, hospital length of stay
Source: AuntMinnie.com Headlines - January 6, 2023 Category: Radiology Source Type: news
Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population
This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensional (2D) cine incorporating deep learning reconstruction (DLR) for the quantification of biventricular volumes and function compared with those of the standard reference, that is, breath-hold 2D balanced steady-state free precession (bSSFP) cine, in an adult population. Twenty-four patients (15 men, mean age 50.7 ± 16.5 years) underwent cardiac magnetic resonance for clinical indications, and 2D DLR and bSSFP cine were acquired on the short-axis view. The image quality scores were based on three main criteria: blood-t...
Source: The International Journal of Cardiovascular Imaging - January 17, 2023 Category: Radiology Source Type: research
Contrast-enhanced conebeam CT shows promise for breast biopsy
Contrast-enhanced conebeam CT imaging could serve as an alternative to MRI guidanc...Read more on AuntMinnie.comRelated Reading:
CBCT reveals how 17th-century aristocrat sought to preserve her smile
Can machine learning plus CBCT predict blood leaks in stroke patients?
3D image guidance enhances biopsy of peripheral lung nodules
Conebeam CT aids removal of rare ectopic molar in maxillary sinus
Can AI enhance the utility of breast conebeam CT?
Source: AuntMinnie.com Headlines - March 2, 2023 Category: Radiology Source Type: news
NIH highlights PET imaging in study of rare bone disease
The U.S. National Institutes of Health (NIH) has highlighted a study featurin...Read more on AuntMinnie.comRelated Reading:
NaF-PET shows bone formation in psoriatic arthritis patients
PET/MRI provides new insights into knee osteoarthritis
NaF-PET reveals aortic wall injuries
NaF-PET scans reveal plaque -- and possible risk of stroke
Can deep learning monitor lesions on F-18 NaF PET/CT?
Source: AuntMinnie.com Headlines - April 10, 2023 Category: Radiology Source Type: news
The Great Contrast Shortage of 2022 —Lessons learnt in Australia
ConclusionOur findings demonstrate that the IBCM shortage crisis had a very significant impact on the delivery of healthcare. While V/Q scans could (partially) substitute for CTPA studies in suspected pulmonary emboli, there appeared to be no valid alternative for CTNA studies in stroke calls. The unexpected and critical shortage of IBCM forced healthcare professionals to conserve resources, prioritise indications, triage patients based on risk, explore alternate imaging strategies and prepare for similar events recurring in the future.
Source: Journal of Medical Imaging and Radiation Oncology - May 18, 2023 Category: Radiology Authors: Giles Kisby,
James H Seow,
Greg Schie,
Constantine C Phatouros,
Kay ‐Vin Lam,
Tracey Muir,
Sally Burrows,
Paul M Parizel Tags: Medical Imaging —Original Article Source Type: research
Streamlined Carotid Artery Calcification Labeling For Cta Scans
Introduction: We require vast amounts of manually labeled calcifications to train advanced machine learning classifiers for carotid artery plaque detection and phenotyping high-risk calcifications for ischemic stroke patients. We developed CTOOL, a web-based software for streamlined calcium labeling with minimal user interaction.
Source: Journal of Cardiovascular Computed Tomography - July 1, 2023 Category: Radiology Authors: J. Kim, N. Arnett, J. Kotler, D. Shah, B. Cucchiara, J. Song, D. Haehn Source Type: research
Deep learning helps rads predict pediatric myelin maturation age
A deep-learning model helps radiologists accurately predict pediatric myeli...Read more on AuntMinnie.comRelated Reading:
MRI highlights abnormal findings after seizure in neonates
MRI illuminates the brains of 'superagers'
MRI improves outcomes in suspected stroke patients
MRI, MRS helps assess long-term outcomes from pediatric cardiac arrest
ISMRM: AI developed to automatically detect MRI artifacts
Source: AuntMinnie.com Headlines - July 31, 2023 Category: Radiology Source Type: news
Deep-learning CT model effective for detecting head abnormalities
A deep-learning CT model can detect head abnormalities in 17 different regions...Read more on AuntMinnie.comRelated Reading:
Deep learning plus CT helps guide head and neck cancer treatment
Using AI with prior LDCT exams improves lung nodule risk assessment
Can AI body composition analysis predict mortality risk on LDCT?
AI plus CT improves cirrhosis prediction in liver disease patients
CT radiomics can help in predicting outcomes in stroke patients
Source: AuntMinnie.com Headlines - August 22, 2023 Category: Radiology Source Type: news
Regarding "Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model" letter
Source: American Journal of Neuroradiology - September 11, 2023 Category: Radiology Authors: Tortora, M., Pacchiano, F. Tags: letter Source Type: research
