Zobrazeno 1 - 10
of 31
pro vyhledávání: '"MICHAEL T. MCCANN"'
Autor:
Weijie Gan, Qiuchen Zhai, Michael T. McCann, Cristina Garcia Cardona, Ulugbek S. Kamilov, Brendt Wohlberg
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 539-547 (2024)
Ptychography is an imaging technique that captures multiple overlapping snapshots of a sample, illuminated coherently by a moving localized probe. The image recovery from ptychographic data is generally achieved via an iterative algorithm that solves
Externí odkaz:
https://doaj.org/article/83ee43ac3e43439496b8a36d905af4a4
Autor:
MICHAEL T. MCCANN, Brendt Wohlberg
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 402-420 (2024)
We present a new method for online selection of the penalty parameter for the alternating direction method of multipliers (ADMM) algorithm. ADMM is a widely used method for solving a range of optimization problems, including those that arise in signa
Externí odkaz:
https://doaj.org/article/8373d33d39444222969c093363133738
Autor:
Michael T. McCann, Elena Guardincerri, Samuel M. Gonzales, Lauren A. Misurek, Jennifer L. Schei, Marc L. Klasky
Publikováno v:
IEEE Transactions on Computational Imaging. 9:314-326
We propose a method for performing material identification from radiographs without energy-resolved measurements. Material identification has a wide variety of applications, including in biomedical imaging, nondestructive testing, and security. While
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ad773fb1360d933715521fcd417518e
https://doi.org/10.1109/tci.2023.3257679
https://doi.org/10.1109/tci.2023.3257679
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e4eaee2afc721a222525e2ba65c7433
https://doi.org/10.1109/icassp43922.2022.9747201
https://doi.org/10.1109/icassp43922.2022.9747201
Publikováno v:
Optics express. 29(18)
We propose a new modeling approach for scatter estimation and descattering in polyenergetic X-ray computed tomography (CT) based on fitting models to local neighborhoods of a training set. X-ray CT is widely used in medical and industrial application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fabc4700747856a715ddd93fa0f121f9
https://pubmed.ncbi.nlm.nih.gov/34615052
https://pubmed.ncbi.nlm.nih.gov/34615052
Autor:
Luke Hovey, Oleg Korobkin, Brian M. Patterson, Luke Pfister, Sky Sjue, Jennifer Disterhaupt, Dean L. Sanzo, Sai Ravishankar, Marc Klasky, Anish Lahiri, Balasubramanya T. Nadiga, Michelle A. Espy, Brendt Wohlberg, Jeffrey A. Fessler, Trevor Wilcox, Maliha Hossein, Michael T. McCann, Elena Guardincerri, Charles A. Bouman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4206aea659dc1ca9651cf6ef955b553
https://doi.org/10.2172/1772390
https://doi.org/10.2172/1772390
In this work, we compare one-step and two-step approaches for X-ray computed tomography (CT) scatter correction and density reconstruction. X-ray CT is an important imaging technique in medical and industrial applications. In many cases, the presence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5eb33b561494248923e16b86605357a
Autor:
A. Khatiwada, Michael T. McCann, Luke Pfister, Saiprasad Ravishankar, Jennifer L. Schei, Marc Klasky
Publikováno v:
OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP).
We use local models to estimate and subsequently remove scatter from polyenergetic radiographs of multimaterial objects and a polyenergetic onion peeling approach for reconstruction. Results show improved reconstruction accuracies for scatter-to-dire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a85bc12b6f0ccaf1e62ee048b2287d9e
https://doi.org/10.1364/dh.2021.df4f.6
https://doi.org/10.1364/dh.2021.df4f.6
Traditional model-based image reconstruction (MBIR) methods combine forward and noise models with simple object priors. Recent machine learning methods for image reconstruction typically involve supervised learning or unsupervised learning, both of w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c3fa0f3f54d2a42053c899f864db0e6
http://arxiv.org/abs/2010.02761
http://arxiv.org/abs/2010.02761