Výsledky vyhledávání - "Param D, Sharma"

Vertebral and ribs enhancement in Tc-99m methylene diphosphonate bone scan image by blind deconvolution algorithm

Autor: Gagandeep, Kaur, Anil Kumar, Pandey, Jagrati, Chaudhary, Angel, Hemrom, Param D, Sharma, Chetan, Patel, Rakesh, Kumar

Publikováno v: Nuclear Medicine Communications. 44:27-37

The objective of the study was to restore Tc-99m methylene diphosphonate (MDP) bone scan image using blind deconvolution (BD) algorithm so that ribs, vertebrae, and lesions present in them become prominent.Our study consists of retrospective data in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26cfab1ac520af3b450700fd1b9fce5a
https://doi.org/10.1097/mnm.0000000000001642

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Optimizing input parameter of the randomized singular value decomposition algorithm for compressing technetium-99m L,L, ethylenedicysteine renal dynamic study in minimum time preserving clinical information

Autor: Jagrati, Chaudhary, Anil Kumar, Pandey, Param D, Sharma, Chetan, Patel, Rakesh, Kumar

Publikováno v: Nuclear Medicine Communications. 43:1171-1180

The SVDsketch [MATLAB function which implements a randomized singular value decomposition (rSVD) algorithm] uses tolerance (tol) to adaptively determine the rank of the matrix sketch approximation. As the tol gets larger, fewer features of input imag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::247024bd47cc42817879c343d46b5cdb
https://doi.org/10.1097/mnm.0000000000001618

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Automated Detection of Poor-Quality Scintigraphic Images Using Machine Learning

Autor: Anil K, Pandey, Akshima, Sharma, Param D, Sharma, Chandra S, Bal, Rakesh, Kumar

Publikováno v: World Journal of Nuclear Medicine. 21:276-282

Objective In the present study, we have used machine learning algorithm to accomplish the task of automated detection of poor-quality scintigraphic images. We have validated the accuracy of our machine learning algorithm on 99mTc-methyl diphosphonate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02f51aee33fdb3816678d6b5a8218d44
https://doi.org/10.1055/s-0042-1750436

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Near-lossless compression of PET/CT images using singular value decomposition

Autor: Jagrati, Chaudhary, Anil Kumar, Pandey, Param D, Sharma, Jasim, Jaleel, Chetan, Patel, Chandra Sekhar, Bal, Rakesh, Kumar

Publikováno v: Nuclear Medicine Communications. 43:1099-1106

The aim of the study is to compare the single matrix approach and slice-by-slice approach for computing singular value decomposition (SVD) to achieve near-lossless compression of PET/CT images.The parameters used for comparison were SVD computation t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ed1f1d0d92510966a2b7e41ebd0c7a5
https://doi.org/10.1097/mnm.0000000000001603

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Restoration of Tc-99m methyl diphosphonate bone scan image using Richardson–Lucy algorithm

Autor: Anil Kumar, Pandey, Damini, Sonker, Jagrati, Chaudhary, Jasim, Jaleel, Vivek, Baghel, Param D, Sharma, Chetan, Patel, Rakesh, Kumar

Publikováno v: Nuclear Medicine Communications. 43:518-528

In this study, the optimal input parameters point spread function (PSF) and the number of iterations of the Richardson-Lucy algorithm were experimentally determined to restore Tc-99 m methyl diphosphonate (MDP) whole-body bone scan images.The experim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f4948c681353c46987cffdb3eb17ac0
https://doi.org/10.1097/mnm.0000000000001544

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