FReSCO: Flow Reconstruction and Segmentation for low‐latency Cardiac Output monitoring using deep artifact suppression and segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29374
Abstract: Real‐time monitoring of cardiac output (CO) requires low‐latency reconstruction and segmentation of real‐time phase‐contrast MR, which has previously been difficult to perform. Here we propose a deep learning framework for “FReSCO” (Flow Reconstruction and Segmentation… read more here.
Keywords: cardiac output; segmentation; reconstruction segmentation; low latency ... See more keywords
Joint CT Reconstruction and Segmentation With Discriminative Dictionary Learning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2018.2858139
Abstract: We present a novel algorithm for computed tomography that simultaneously computes a reconstruction and a corresponding segmentation. Our algorithm uses learned dictionaries for both the reconstruction and the segmentation, constructed via discriminative dictionary learning using… read more here.
Keywords: reconstruction; joint reconstruction; segmentation; dictionary learning ... See more keywords
Deep Learning-Based Super-Resolution Reconstruction and Segmentation of Photoacoustic Images
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14125331
Abstract: Photoacoustic imaging (PAI) is an emerging imaging technique that offers real-time, non-invasive, and radiation-free measurements of optical tissue properties. However, image quality degradation due to factors such as non-ideal signal detection hampers its clinical applicability.… read more here.
Keywords: super resolution; resolution reconstruction; reconstruction; reconstruction segmentation ... See more keywords
Simultaneous reconstruction and segmentation with the Mumford-Shah functional for electron tomography
Sign Up to like & getrecommendations! Published in 2018 at "Inverse Problems and Imaging"
DOI: 10.3934/ipi.2018056
Abstract: Electron micrography (EM) is a detection method for determining the structure of macromolecular complexes and biological specimens. However, some restrictions in the EM system, including poor signal-to-noise, limited range of tilt angles, only a sub-region… read more here.
Keywords: reconstruction; electron; mumford shah; reconstruction segmentation ... See more keywords