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Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging?

, , , , и . EUSIPCO, стр. 1283-1287. IEEE, (2022)

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Françoise Rat

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Efficiency of TV-regularized algorithms in computed tomography with Poisson-Gaussian noise., , , , , , , и . EUSIPCO, стр. 1294-1298. IEEE, (2020)A wavelet algorithm for zoom-in tomography., и . ISBI, стр. 608-611. IEEE, (2010)Segmentation of Low Contrast Features in Bone Micro-Ct Images by a Constrained Region Growing Approach Based on Watershed., , , и . ISBI, стр. 968-971. IEEE, (2007)Time Resolved Fluorescence Diffuse Optical Tomography Using Multi-Resolution Exponential B-Splines., , , , , и . ISBI, стр. 157-160. IEEE, (2009)3D tomographic reconstruction of binary images from cone beam projections: a fast level set approach., , , и . ISBI, стр. 677-680. IEEE, (2002)A constrained Gauss-Newton algorithm for material decomposition in spectral computed tomography., , , и . ISBI, стр. 336-339. IEEE, (2018)Nonconvex Mixed TV/Cahn-Hilliard Functional for Super-Resolution/Segmentation of 3D Trabecular Bone Images., , и . Journal of Mathematical Imaging and Vision, 61 (4): 504-514 (2019)Propagation based X-ray phase microtomography of multi-material objects for simultaneous bone and soft tissue visualisation., , , , , , и . ISBI, стр. 210-213. IEEE, (2012)A constrained region growing approach based on watershed for the segmentation of low contrast structures in bone micro-CT images., , , и . Pattern Recognit., 41 (7): 2358-2368 (2008)Modelization of three-dimensional bone micro-architecture using Markov random fields with a multi-level clique system., , и . Medical Imaging: Image Processing, том 5747 из SPIE Proceedings, SPIE, (2005)