Three‐dimensional (3D) coronary imaging has the potential to overcome problems resulting from vessel tortuosity and to reduce partial volume effects. With these techniques, however, acquisition times are long and respiratory motion artifacts problematical. This work describes the development of a method that applies phase encode reordering to 3D acquisitions, allowing larger navigator acceptance windows to be used, with a consequent reduction in acquisition time. This method is compared with navigator acceptance window methods (the acceptance‐rejection algorithm and the diminishing variance algorithm) and the retrospective respiratory gating technique, both in vitro and in vivo. The use of phase reordering with a 10 mm acceptance window provided a significant increase in scan efficiency over a non‐reordered 5 mm method (P < 0.001) with no significant change in image quality, and a significant increase in image quality compared with a non‐reordered image acquired in the same time (P < 0.05). A significant improvement in both image quality and scan efficiency was demonstrated over the retrospective respiratory gating method (P < 0.05). Magn Reson Med 41:555–562, 1999. © 1999 Wiley‐Liss, Inc.

Purpose:To evaluate semiautomated analysis software for measuring the total carotid arterial wall volume (TWV) as a measure of atheroma burden. Materials and Methods:Semiautomated-software and manual analyses of TWV measured by cardiovascular magnetic resonance (CMR) were compared in two phantom models, 10 subjects with no known carotid artery disease, and eight subjects with known carotid disease. The subjects were scanned twice for reproducibility. Results:In subjects with no known carotid disease, semiautomated analysis of 98% of slices showed an improved interstudy coefficient of variation (COV) compared to manual analysis of 50% of slices (4.0% vs. 6.2%, P ϭ 0.02). The proportion of matched cross-sectional slices usable for TWV measurement was superior (99% vs. 49%, P ϭ 0.005) and the median analysis time was shorter (31 minutes vs. 90 minutes, P Ͻ 0.001) using the semiautomated software. In subjects with known carotid disease, semiautomated (99% of slices) and manual (56% of slices) analyses had comparable interstudy COVs (4.1% vs. 3.9%, P ϭ 0.01). However, the proportion of matched cross-sectional slices usable for TWV measurement was greater using semiautomated contouring (96% vs. 56%, P ϭ 0.01). Conclusion:Carotid CMR measurement of TWV using novel semiautomated analysis software shows good reproducibility, enables greater coverage of arterial vessel wall length, and is considerably faster compared to manual contouring.

Cardiovascular magnetic resonance detects subclinical aortic atherosclerosis, can follow plaque burden over time, and confirms the presence of Glagov remodeling with preservation of the lumen despite progression of plaque. Cardiovascular magnetic resonance is well suited for the longitudinal follow-up of the general population with atherosclerosis, may help in the understanding of the natural history of atherosclerosis, and in particular may help determine factors to retard disease progression at an early stage.

The purpose of this work was to implement prospective navigators to allow free breathing in vivo DTI of the heart to be performed and, thereby, allow the technique to be broadly applied in patients with cardiovascular disease.

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Background The MDTea is a free open access medical education podcast designed for all healthcare professionals caring for older adults. To date there are 120 episodes. Introduction/Method The MDTea Podcast has CPD survey logs on its website where listeners who access the website can record their learning and receive a CPD certificate, Listeners provide their professional roles. Listener numbers for episodes were much higher than those recorded in the CPD log, so alternative measures were sought to understand who listens to the podcast. Series 11 was released in January to July 2022 and was themed around ‘A Day in the Life’ of health professionals working with older adults in the hospital environment. The MDTea Podcast Twitter account had 6333 followers before series 11 release and has good discussion and engagement with followers, and is regularly tagged in other geriatrics care from discussion by professionals. Measuring the followership and social network of the account may be useful to understand the MDTea’s place in the social network of UK care of older adults healthcare. Therefore with each episode release the new follower numbers and if available self-identified professional roles of each were recorded and counted. Results Over the course of the 11th series, the MDTea Podcast twitter account gained 432 new followers, from 22 different self-defined professional groups who engaged with our social media.121 followers did not identify their title. In contrast 12 self-identified professions were recorded in our series 11 CPD log results from 30 responses. Conclusion This work has demonstrated the wide range of professionals that engage with FOAMed resources produced by the MDTea. Given the breadth of professionals working in elderly care roles in both primary and secondary settings, having an understanding content users can enable authors to design content that is appropriate for their audience.