Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Nikolai V Slavine"'
Autor:
Ralph P. Mason, Peter P. Antich, Todd C. Soesbe, Vikram D. Kodibagkar, Nikolai V. Slavine, Matthew A. Lewis, Edmond Richer
Publikováno v:
Diagnostics, Vol 3, Iss 3, Pp 325-343 (2013)
Bioluminescent imaging (BLI) of cells expressing luciferase is a valuable noninvasive technique for investigating molecular events and tumor dynamics in the living animal. Current usage is often limited to planar imaging, but tomographic imaging can
Externí odkaz:
https://doaj.org/article/c3c2bc2bc5f14291b7566920fefba082
Autor:
Nikolai V Slavine
Publikováno v:
Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP).
An application of rapidly converging, efficient 3D iterative deconvolution method with novel resolution subsets-based approach for quantitative PET/CT small-animal image resolution recovery is demonstrated. The enhanced images proved to have lower no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a052a5e35dfa13d608d53727832eebae
https://doi.org/10.1364/3d.2022.3tu5a.1
https://doi.org/10.1364/3d.2022.3tu5a.1
Autor:
Jon A. Anderson, Roderick W McColl, Robert E. Lenkinski, Nikolai V Slavine, Jeffrey B. Guild, Orhan K. Öz
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 3:96-102
A rapidly converging, iterative deconvolution algorithm with a novel resolution subsets-based approach RSEMD that operates on digital imaging and communications in medicine images to improve the quality of clinical CT images is presented. The RSEMD m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::639fa6f371207c54e16404c79cb5755e
https://doi.org/10.1109/trpms.2018.2873187
https://doi.org/10.1109/trpms.2018.2873187
Autor:
Nikolai V Slavine
Publikováno v:
Imaging and Applied Optics Congress.
Purpose: To demonstrate an application of rapidly converging, 3D iterative deconvolution method [1] with a novel resolution subsets-based (Richardson-Lucy like algorithm [2-3] with multiple resolution levels) approach RSEMD that operates on DICOM ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6c14abe3c355967bb23b22e4d81a95d
https://doi.org/10.1364/3d.2020.jth2a.14
https://doi.org/10.1364/3d.2020.jth2a.14
Publikováno v:
Medical Imaging: Image Processing
Purpose: To evaluate in clinical use a practical iterative deconvolution method to enhance contrast and image resolution in digital breast tomosynthesis. A novel rapidly converging, iterative deconvolution algorithm for improving the quantitative acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58313fa370a47df514201107af3bcf49
https://doi.org/10.1117/12.2293604
https://doi.org/10.1117/12.2293604
Autor:
Jon A. Anderson, Roderick W McColl, Robert E. Lenkinski, Orhan K. Öz, Nikolai V Slavine, Jeffrey B. Guild
Publikováno v:
Physica Medica. 31:903-911
Purpose To study the feasibility of using an iterative reconstruction algorithm to improve previously reconstructed CT images which are judged to be non-diagnostic on clinical review. A novel rapidly converging, iterative algorithm (RSEMD) to reduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d454248c21b2dd91477099baa6a85b0f
https://doi.org/10.1016/j.ejmp.2015.06.009
https://doi.org/10.1016/j.ejmp.2015.06.009
Publikováno v:
Journal of applied bioinformaticscomputational biology. 6(2)
Purpose: To test and evaluate an efficient iterative image processing strategy to improve the quality of sub-optimal pre-clinical PET images. A novel iterative resolution subset-based method to reduce noise and enhance resolution (RSEMD) has been dem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::236264570cf11b1f32d2fcf4384f0e09
https://pubmed.ncbi.nlm.nih.gov/28932758
https://pubmed.ncbi.nlm.nih.gov/28932758
Publikováno v:
Medical Imaging: Image Processing
Purpose: To evaluate an efficient iterative deconvolution method (RSEMD) for improving the quantitative accuracy of previously reconstructed breast images by commercial positron emission mammography (PEM) scanner. Materials and Methods: The RSEMD met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac574811dbdc27915347cadda3799dde
https://doi.org/10.1117/12.2248758
https://doi.org/10.1117/12.2248758
Publikováno v:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 39
Purpose To evaluate in clinical use a rapidly converging, efficient iterative deconvolution algorithm (RSEMD) for improving the quantitative accuracy of previously reconstructed breast images by a commercial positron emission mammography (PEM) scanne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11ca4f1b102562656240e72af5a3c7ba
https://pubmed.ncbi.nlm.nih.gov/28688583
https://pubmed.ncbi.nlm.nih.gov/28688583
Publikováno v:
Alzheimer's & Dementia. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd9d933c81ecb59afca296e849e96a7d
https://doi.org/10.1016/j.jalz.2016.06.360
https://doi.org/10.1016/j.jalz.2016.06.360