Retinal image quality from flood illumination adaptive optics (AO) ophthalmoscopes is adversely affected by out-of-focus light scatter due to the lack of confocality. This effect is more pronounced in small eyes, such as that of rodents, because the requisite high optical power confers a large dioptric thickness to the retina. A recently-developed structured illumination microscopy (SIM) technique called HiLo imaging has been shown to reduce the effect of out-of-focus light scatter in flood illumination microscopes and produce pseudo-confocal images with significantly improved image quality. In this work, we adopted the HiLo technique to a flood AO ophthalmoscope and performed AO imaging in both (physical) model and live rat eyes. The improvement in image quality from HiLo imaging is shown both qualitatively and quantitatively by using spatial spectral analysis.
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http://dx.doi.org/10.1364/BOE.5.002563 | DOI Listing |
Trials
January 2025
Université Côte d'Azur, CNRS, LP2M, Nice, France.
Background: /aims. Pseudoxanthoma Elasticum (PXE, OMIM 264800) is an autosomal, recessive, metabolic disorder characterized by progressive ectopic calcification in the skin, the vasculature and Bruch's membrane. Variants in the ABCC6 gene are associated with low plasma pyrophosphate (PPi) concentration.
View Article and Find Full Text PDFCancer Imaging
January 2025
Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia.
True total-body and extended axial field-of-view (AFOV) PET/CT with 1m or more of body coverage are now commercially available and dramatically increase system sensitivity over conventional AFOV PET/CT. The Siemens Biograph Vision Quadra (Quadra), with an AFOV of 106cm, potentially allows use of significantly lower administered radiopharmaceuticals as well as reduced scan times. The aim of this study was to optimise acquisition protocols for routine clinical imaging with FDG on the Quadra the prioritisation of reduced activity given physical infrastructure constraints in our facility.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Department of Orthopedics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215000, China.
Background: To analyze the effects of the positioning of a bolt in the femoral neck system (FNS) on the short-term outcomes of middle-aged and young adults with displaced femoral neck fractures (FNFs).
Methods: This was a retrospective study involving 114 middle-aged and young adults with displaced FNFs who were surgically treated with internal fixation via the FNS in the Department of Orthopedics, Suzhou Municipal Hospital, from December 2019 to January 2023. The degree of deviation of the central axis of the femoral head and neck from the tip of the bolt (W), the tip‒apex distance (TAD) and the length of femoral neck shortening (LFNS) were measured on postoperative X-ray and computed tomography (CT) scan images.
BMC Cancer
January 2025
Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Background: People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and support for these patients.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.
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