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BACKGROUND: While individual cardiac myocytes only have a limited ability to shorten, the heart efficiently pumps a large volume-fraction thanks to a cell organization in a complex 3D fibre structure. Subclinical subtle cardiac structural remodelling is often present before symptoms arise. Understanding and early detection of these subtle changes is crucial for diagnosis and prevention. Additionally, personalized computational modelling requires knowledge on the multi-scale structure of the whole heart and vessels. METHODS AND RESULTS: We developed a rapid acquisition together with visualization and quantification methods of the integrated microstructure of whole in-vitro rodents hearts using synchrotron based X-ray phase-contrast tomography. These images are formed not only by X-ray absorption by the tissue but also by wave propagation phenomena, enhancing structural information, thus allowing to raise tissue contrast to an unprecedented level. We used a (ex-vivo) normal rat heart and fetal rabbit hearts suffering intrauterine growth restriction as a model of subclinical cardiac remodelling to illustrate the strengths and potential of the technique. For comparison, histology and diffusion tensor magnetic resonance imaging was performed. CONCLUSIONS: We have developed a novel, high resolution, image acquisition, and quantification approach to study a whole in-vitro heart at myofibre resolution, providing integrated 3D structural information at microscopic level without any need of tissue slicing and processing. This superior imaging approach opens up new possibilities for a systems approach towards analysing cardiac structure and function, providing rapid acquisition of quantitative microstructure of the heart in a near native state.

This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in the standard RGB (sRGB) space. Given the subjective nature of this task, the proposed solutions were evaluated based on the mean opinions of viewers asked to judge the visual appearance of the results. Michael Freeman, a world-renowned photographer, further ranked the solutions with the highest mean opinion scores. A total of 13 teams competed in the final phase of the challenge. The proposed methods provided by the participating teams represent state-of-the-art performance in nighttime photography. Results from the various teams can be found here: https://nightimaging.org/

7th International Symposium on Image and Signal Processing and Analysis (ISPA) -- SEP 04-06, 2011 -- Dubrovnik, CROATIA, WOS: 000393806900049, Edge Drawing (ED) is an edge detection method that works by computing a set of anchor points, which are most likely to be edge elements, and linking them with a predefined set of rules which we call smart routing. ED can thus obtain one-pixel wide, contiguous and smooth edges in real-time. In most cases, obtaining the edges in segment form (i.e. blob of connected edgels) is desired. Because edge segments also include the connectivity information among the pixels, they contain useful features about the geometric shape of the detected edges. In contrast to conventional detectors, ED is able to output the resulting edge map as vectorial data, i.e., array of edge segments instead of a 2D binary image. In this work, this capability of ED is explained and discussed with examples., IEEE, European Assoc Signal Proc, Univ Zagreb, Fac Elect Engn & Comp, Croatian Acad Sci & Arts, IEEE Signal Proc Soc, IEEE Reg 8, IEEE Croatia Sect, IEEE Croatia Sect Signal Proc Chapter