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http://dx.doi.org/10.1016/j.hrcr.2025.04.022 | DOI Listing |
HeartRhythm Case Rep
August 2025
Department of Cardiology, Rijnstate Hospital, Arnhem, The Netherlands.
The transport of intensity equation (TIE) has emerged as a powerful and versatile approach for retrieving phase information from intensity measurements. It offers label-free high-resolution imaging capability. In the TIE, at least two intensity recordings are required for phase retrieval for which either the sample or sensor is mechanically displaced, which creates an error in computation.
View Article and Find Full Text PDFMagn Reson Med
July 2025
Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, USA.
Purpose: Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. However, traditional breath-held imaging protocols pose challenges for patients with arrhythmias or limited breath-holding capacity. This work aims to overcome these limitations by developing a reconstruction framework that enables high-quality imaging in free-breathing conditions for various dynamic cardiac MRI protocols.
View Article and Find Full Text PDFSmall
July 2025
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
The deposition of device-grade inorganic materials is one key challenge toward the implementation of additive manufacturing (AM) in microfabrication, and to that end, a broad range of physico-chemical principles has been explored for 3D fabrication with micro- and nanoscale resolution. Yet, for metals, a process that achieves material quality rivalling that of established thin-film deposition methods, and at the same time, has the potential to combine high throughput production with a broad palette of processable materials, is still lacking. Here, the kinetic, solid-state bonding of metal thin films for the additive assembly of high-purity, high-density metals with micrometer-scale precision is introduced.
View Article and Find Full Text PDFTher Adv Ophthalmol
May 2025
The Windreich Department of Artificial Intelligence and Human Health, Mount Sinai Medical Center, New York, NY, USA.
Background And Aim: Multimodal large language models (LLMs) have shown potential in processing both text and image data for clinical applications. This study evaluated their diagnostic performance in identifying retinal diseases from optical coherence tomography (OCT) images.
Methods: We assessed the diagnostic accuracy of GPT-4o and Claude Sonnet 3.