Background Digital subtraction angiography (DSA) generates an image by subtracting a mask from dynamic angiogram. However, patient movement–caused misregistration artifacts can result in unclear DSA images that interrupt procedures. Purpose To train and to validate deep learning (DL)–based model produce DSA-like cerebral angiograms directly then quantitatively visually evaluate these for clinic...

InSAR processing usually involves two successive steps: focusing and interferometry. Most public-domain InSAR processing toolboxes are capable of performing both operations with data acquired in the standard Stripmap mode, starting from raw SAR data (level 0). However, the focusing of burst-mode data, such as TOPS and ScanSAR, requires substantial modifications to standard focusing methods due ...

UNLABELLED CT-based attenuation correction is a widely used option in commercial PET/CT scanners. However, as a result of a nonsimultaneous acquisition and differences in temporal resolution between both modalities, a potential misregistration between the PET and CT, especially in the thorax and the upper abdomen, can be found. We observed a substantial number of apparent perfusion defects in s...

introduction in ct imaging, metallic implants inside the tissues cause metal artifact that reduce the quality of image for diagnosis. in order to reduce the effect of this artifact, a new method with more appropriate results has been presented in this research work. materials and methods the presented method comprised of following steps: a) image enhancement and metal areas extraction, b) sinog...

This paper discusses bathymetric image reconstruction for a Synthetic Aperture Sonar (SAS) with an emphasis on interferometric phase errors. The effect of misregistration between the receivers is shown to be the dominant source of error and is corrected by estimating the time delay between receivers at each range bin. Results are shown for a simulated seafloor.