The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 09, 2021

Filed:

Feb. 22, 2019
Applicant:

Seoul National University R&db Foundation, Seoul, KR;

Inventors:

Jae Sung Lee, Seoul, KR;

Donghwi Hwang, Seoul, KR;

Kyeong Yun Kim, Seoul, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06K 9/62 (2006.01); G16H 30/40 (2018.01); G06T 11/00 (2006.01); A61B 6/03 (2006.01); A61B 5/00 (2006.01); G01T 1/29 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); A61B 5/7221 (2013.01); A61B 5/7267 (2013.01); A61B 6/037 (2013.01); G01T 1/2985 (2013.01); G06K 9/6232 (2013.01); G06T 11/005 (2013.01); G06T 11/008 (2013.01); G16H 30/40 (2018.01); G06T 2207/10104 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30016 (2013.01); G06T 2211/424 (2013.01); G06T 2211/428 (2013.01);
Abstract

Disclosed are a positron emission tomography system and an image reconstructing method using the same and the positron emission tomography system includes: a collection unit collecting a positron emission tomography sinogram (PET sinogram); an image generation unit applying the positron emission tomography sinogram to an MLAA with TOF and generating a first emission image and a first attenuation image; and a control unit selecting at least one of the first emission image and the first attenuation image generated by the image generation unit as an input image and generating and providing a final attenuation image by applying the input image to the learned deep learning algorithm.


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