Patents by Inventor Mikhail Yurievich SIROTENKO
Mikhail Yurievich SIROTENKO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11080847Abstract: Provided is a magnetic resonance imaging (MRI) apparatus including an acquisition unit configured to acquire an undersampled spectrum in a k-space and a reconstruction unit configured to generate a target image based on the undersampled spectrum, wherein the reconstruction unit includes: a first sub-reconstruction unit configured to perform initial reconstruction on data corresponding to unsampled positions in the k-space by using a Split Bregman algorithm or approximate sparse coding; a second sub-reconstruction unit configured to decompose the initially reconstructed spectrum in the k-space into multiple frequency bands to thereby generate a plurality of individual spectra and perform dictionary learning reconstruction on images respectively corresponding to the decomposed multiple frequency bands by alternating sparse approximation and reconstructing of measured frequencies; and an image generator configured to generate a target image by merging together the reconstructed images respectively correspondingType: GrantFiled: April 30, 2015Date of Patent: August 3, 2021Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Artem Sergeevich Migukin, Dmitry Alexandrovich Korobchenko, Mikhail Yurievich Sirotenko, Kirill Arthurovich Gavrilyuk, Praveen Gulaka, Sang-cheon Choi, Michail Nikolaevich Rychagov, Yang Lim Choi
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Publication number: 20180247436Abstract: Provided are a magnetic resonance (MR) image processing apparatus and a method of reconstructing a MR image. The MR image processing apparatus includes a processor and a memory connected to the processor, wherein the processor is configured to acquire a partially sampled multi-coil k-space with respect to an object and obtain a reconstructed image of the object by reconstructing the partially sampled multi-coil k-space based on a pre-acquired first dictionary and a second dictionary acquired by using the first dictionary.Type: ApplicationFiled: August 2, 2016Publication date: August 30, 2018Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Dmitry Alexandrovich KOROBCHENKO, Artem Sergeevich MIGUKIN, Alexey Bronislavovich DANILEVICH, Anna Andreevna VARFOLOMEEVA, Sang-cheon CHOI, Mikhail Yurievich SIROTENKO, Michail Nikolaevich RYCHAGOV
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Patent number: 9799115Abstract: A method of automatically registering landmarks in a 3-dimensional (3D) medical image includes obtaining a 3D image; determining a set of search points based on a statistical atlas attached to a bounding box corresponding to a part of the 3D image; extracting features of the determined set of search points; forming a set of candidates for a landmark based on the extracted features; filtering the candidates and outputting remaining candidates among the candidates based on the filtering; and outputting a final position of the landmark based on one of the remaining candidates.Type: GrantFiled: March 18, 2014Date of Patent: October 24, 2017Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Praveen Gulaka, Alexey Bronislavovich Danilevich, Dmitry Alexandrovich Korobchenko, Mikhail Nikolaevich Rychagov, Mikhail Yurievich Sirotenko
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Publication number: 20170053402Abstract: Provided is a magnetic resonance imaging (MRI) apparatus including an acquisition unit configured to acquire an undersampled spectrum in a k-space and a reconstruction unit configured to generate a target image based on the undersampled spectrum, wherein the reconstruction unit includes: a first sub-reconstruction unit configured to perform initial reconstruction on data corresponding to unsampled positions in the k-space by using a Split Bregman algorithm or approximate sparse coding; a second sub-reconstruction unit configured to decompose the initially reconstructed spectrum in the k-space into multiple frequency bands to thereby generate a plurality of individual spectra and perform dictionary learning reconstruction on images respectively corresponding to the decomposed multiple frequency bands by alternating sparse approximation and reconstructing of measured frequencies; and an image generator configured to generate a target image by merging together the reconstructed images respectively correspondingType: ApplicationFiled: April 30, 2015Publication date: February 23, 2017Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Artem Sergeevich MIGUKIN, Dmitry Alexandrovich KOROBCHENKO, Mikhail Yurievich SIROTENKO, Kirill Arthurovich GAVRILYUK, Praveen GULAKA, Sang-cheon CHOI, Michail Nikolaevich RYCHAGOV, Yang Lim CHOI
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Publication number: 20160284089Abstract: A method of automatically registering landmarks in a 3-dimensional (3D) medical image includes obtaining a 3D image; determining a set of search points based on a statistical atlas attached to a bounding box corresponding to a part of the 3D image; extracting features of the determined set of search points; forming a set of candidates for a landmark based on the extracted features; filtering the candidates and outputting remaining candidates among the candidates based on the filtering; and outputting a final position of the landmark based on one of the remaining candidates.Type: ApplicationFiled: March 18, 2014Publication date: September 29, 2016Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Praveen GULAKA, Alexey Bronislavovich DANILEVICH, Dmitry Alexandrovich KOROBCHENKO, Mikhail Nikolaevich RYCHAGOV, Mikhail Yurievich SIROTENKO
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Patent number: 9383424Abstract: A method of automatic planning of a view in a 3D image of a brain includes A method of automatic planning a view in a three-dimensional (3D) image of a brain includes selecting a plurality of axial working sections and a plurality of coronal working sections in the 3D scout image; constructing at least one mid-sagittal plane of the brain based on a set of axial reference lines and a set of coronal reference lines obtained from the selected plurality of axial working sections and the selected plurality of coronal working sections, respectively; detecting at least one landmark that is an anatomical point in the at least one mid-sagittal plane; creating a first reference line based on the at least one landmark detected in the at least one mid-sagittal plane; and planning a scan in an orientation based on the at least one mid-sagittal plane and the first reference line.Type: GrantFiled: March 18, 2014Date of Patent: July 5, 2016Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Praveen Gulaka, Alexey Bronislavovich Danilevich, Mikhail Yurievich Sirotenko, Dmitry Alexandrovich Korobchenko, Mikhail Nikolaevich Rychagov, Sergey Konstantinovich Ternovoy, Merab Archil'evich Sharia, Dmitry Vladimirovich Ustuzhanin
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Patent number: 9355449Abstract: Provided is medical equipment and a technique for analyzing medical images. A method for automatically planning views in three-dimensional (3D) medical images includes: estimating a statistical model indicating positions of anatomical points, the statistical model having parameters calculated by minimizing energy of a loss function; training an anatomical point detector to detect the plurality of anatomical points by using the estimated statistical model; acquiring a 3D image having a region of interest; detecting a set of candidates of the anatomical points in the 3D image; searching the set of candidates for an optimal configuration corresponding to the plurality of anatomical points; and forming a view plane based on the optimal configuration found by the searching.Type: GrantFiled: March 18, 2014Date of Patent: May 31, 2016Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Praveen Gulaka, Mikhail Yurievich Sirotenko, Dmitry Alexandrovich Korobchenko, Alexey Bronislavovich Danilevich, Mikhail Nikolaevich Rychagov
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Publication number: 20140270434Abstract: A method of automatic planning of a view in a 3D image of a brain includes A method of automatic planning a view in a three-dimensional (3D) image of a brain includes selecting a plurality of axial working sections and a plurality of coronal working sections in the 3D scout image; constructing at least one mid-sagittal plane of the brain based on a set of axial reference lines and a set of coronal reference lines obtained from the selected plurality of axial working sections and the selected plurality of coronal working sections, respectively; detecting at least one landmark that is an anatomical point in the at least one mid-sagittal plane; creating a first reference line based on the at least one landmark detected in the at least one mid-sagittal plane; and planning a scan in an orientation based on the at least one mid-sagittal plane and the first reference line.Type: ApplicationFiled: March 18, 2014Publication date: September 18, 2014Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Praveen GULAKA, Alexey Bronislavovich DANILEVICH, Mikhail Yurievich SIROTENKO, Dmitry Alexandrovich KOROBCHENKO, Mikhail Nikolaevich RYCHAGOV, Sergey Konstantinovich TERNOVOY, Merab Archil'evich SHARIA, Dmitry Vladimirovich USTUZHANIN
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Publication number: 20140270433Abstract: Provided is medical equipment and a technique for analyzing medical images. A method for automatically planning views in three-dimensional (3D) medical images includes: estimating a statistical model indicating positions of anatomical points, the statistical model having parameters calculated by minimizing energy of a loss function; training an anatomical point detector to detect the plurality of anatomical points by using the estimated statistical model; acquiring a 3D image having a region of interest; detecting a set of candidates of the anatomical points in the 3D image; searching the set of candidates for an optimal configuration corresponding to the plurality of anatomical points; and forming a view plane based on the optimal configuration found by the searching.Type: ApplicationFiled: March 18, 2014Publication date: September 18, 2014Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Praveen GULAKA, Mikhail Yurievich SIROTENKO, Dmitry Alexandrovich KOROBCHENKO, Alexey Bronislavovich DANILEVICH, Mikhail Nikolaevich RYCHAGOV