Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ping-Chun Chiao"'
Autor:
Xiang He, Peng Hu, George Karpouzas, Yi Wang, James Sayre, Elizabeth Hernandez, Adam N. Plotnik, Ping-Chun Chiao, Danny J.J. Wang, Nicolas Wisniacki, Lirong Yan, Ajay Verma, Robert X. Smith, Jaime Torrington, Linda C. Burkly, Victor Sigalov, Kate Krasileva, Stanislas Rapacchi
Publikováno v:
Magnetic Resonance Imaging
Magnetic Resonance Imaging, Elsevier, 2015, 33 (9), pp.1066--1074. ⟨10.1016/j.mri.2015.06.019⟩
Magnetic resonance imaging, vol 33, iss 9
Magnetic Resonance Imaging, 2015, 33 (9), pp.1066--1074. ⟨10.1016/j.mri.2015.06.019⟩
Magnetic Resonance Imaging, Elsevier, 2015, 33 (9), pp.1066--1074. ⟨10.1016/j.mri.2015.06.019⟩
Magnetic resonance imaging, vol 33, iss 9
Magnetic Resonance Imaging, 2015, 33 (9), pp.1066--1074. ⟨10.1016/j.mri.2015.06.019⟩
International audience; PURPOSE: To identify potential biomarkers of the renal impairment in lupus nephritis using a multi-parametric renal quantitative MRI (qMRI) protocol including diffusion weighted imaging (DWI), blood oxygen level dependent (BOL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb6d60757e6d99d834341c3bfdb05a4a
https://hal-amu.archives-ouvertes.fr/hal-01414329
https://hal-amu.archives-ouvertes.fr/hal-01414329
Publikováno v:
IEEE Transactions on Medical Imaging. 13:217-226
The authors develop a strategy for joint estimation of physiological parameters and myocardial boundaries using ECT (emission computed tomography). They construct an observation model to relate parameters of interest to the projection data and to acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c674dbfe04253779882a470151379fd
https://doi.org/10.1109/42.293914
https://doi.org/10.1109/42.293914
Publikováno v:
IEEE Transactions on Medical Imaging. 12:78-83
Because of the characteristics of the tomographic inversion problem, iterative reconstruction techniques often suffer from poor convergence rates-especially at high spatial frequencies. By using preconditioning methods, the convergence properties of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a05d433d0523065263965c96d293d04c
https://doi.org/10.1109/42.222670
https://doi.org/10.1109/42.222670
In vivo MRI assessment of knee cartilage in the medial meniscal tear model of osteoarthritis in rats
Autor:
Zhiyong, Xie, Serguei, Liachenko, Ping-Chun, Chiao, Santos, Carvajal-Gonzalez, Susan, Bove, Thomas, Bocan
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 13(Pt 3)
We present a new approach for quantifying the degradation of knee cartilage in the medial meniscal tear (MMT) model of osteoarthritis in the rat. A statistical strategy was used to guide the selection of a region of interest (ROI) from the images obt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4cc60c0740a29c7405a5d24d98105b2f
https://pubmed.ncbi.nlm.nih.gov/20879383
https://pubmed.ncbi.nlm.nih.gov/20879383
In Vivo MRI Assessment of Knee Cartilage in the Medial Meniscal Tear Model of Osteoarthritis in Rats
Autor:
Ping-Chun Chiao, Zhiyong Xie, Susan E. Bove, Santos Carvajal-Gonzalez, Thomas M.A. Bocan, Serguei Liachenko
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 ISBN: 9783642157103
MICCAI (3)
MICCAI (3)
We present a new approach for quantifying the degradation of knee cartilage in the medial meniscal tear (MMT) model of osteoarthritis in the rat. A statistical strategy was used to guide the selection of a region of interest (ROI) from the images obt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93be7f1097ec35a2a88522b72f5d6228
https://doi.org/10.1007/978-3-642-15711-0_8
https://doi.org/10.1007/978-3-642-15711-0_8
Publikováno v:
IEEE Transactions on Nuclear Science. 37:647-651
Constrained least-squares filtering is a technique which employs a priori tomograph response information for the filtering of projection data prior to the filtered backprojection of radionuclide distribution images. A simulation study in which the pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f638a1e200419370745bdbdf4972bf6d
https://doi.org/10.1109/23.106692
https://doi.org/10.1109/23.106692
Publikováno v:
1990 IEEE Nuclear Science Symposium Conference Record.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51365afc6b2a38d06e01a4df2ffc6ce8
https://doi.org/10.1109/nssmic.1990.693586
https://doi.org/10.1109/nssmic.1990.693586
Publikováno v:
2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).
Imaging systems that generate data having widely different spatial uncertainties arise in several contexts. While it is desirable to use all information generated by these devices, conventional reconstruction methods such as filtered backprojection c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec5ad89a5f48fb14783a43991d5bd3e
https://doi.org/10.1109/nssmic.2003.1352272
https://doi.org/10.1109/nssmic.2003.1352272
Publikováno v:
Conference Record of the 1991 IEEE Nuclear Science Symposium and Medical Imaging Conference.
Maximum likelihood (ML) estimation methods were developed for static and dynamic studies using emission tomography (ET) with auxiliary boundary information. The estimators are developed through parameterizing object boundaries and introducing registr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::654553903068a0876a1afe7a09c52b90
https://doi.org/10.1109/nssmic.1991.259266
https://doi.org/10.1109/nssmic.1991.259266
Publikováno v:
1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record.
The implementation of spectral analysis techniques involves solving a highly underdetermined linear system equation and is prone to the effect of measurement noise. The authors propose to use a regularized non-negative least-square estimator to stabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::501a13c9c757cd050edb743915aa0cc8
https://doi.org/10.1109/nssmic.1995.501909
https://doi.org/10.1109/nssmic.1995.501909