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:
Jul. 02, 2024

Filed:

Sep. 18, 2023
Applicant:

Heuron Co., Ltd., Incheon, KR;

Inventors:

Gyu Ha Park, Incheon, KR;

Dohyun Kim, Suwon-si, KR;

Soohwa Song, Incheon, KR;

Assignee:

Heuron Co., Ltd., Incheon, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/246 (2017.01); G06T 11/00 (2006.01); G06T 11/20 (2006.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/246 (2017.01); G06T 11/008 (2013.01); G06T 11/206 (2013.01); G16H 30/40 (2018.01); G06T 2200/04 (2013.01); G06T 2207/10076 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30104 (2013.01); G06T 2211/441 (2023.08);
Abstract

An aspect of the present disclosure provides an apparatus for extracting a vascular function including an information reception unit configured to extract an original CT image from brain-related information received from the outside; an NIFTI image transformation unit configured to transform the original CT image into an NIFTI file format image to acquire time sequence data; a time interpolation unit configured to apply time interpolation to the original CT image through the time sequence data to transform the original CT image into each time-specific 3D CT image; a vessel segmentation unit configured to predict a vessel segmentation mask by passing the each time-specific 3D CT image through a deep learning-based vessel segmentation deep-learning modeland generate a 4D vessel mask image by stacking the 3D CT images based on a time axis; and a vascular function extraction unit configured to extract a vascular function from a vessel region of the 4D vessel mask image and calculate a blood flow parameter using an artery function which is one of the vascular functions.


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