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. 05, 2024

Filed:

Dec. 10, 2021
Applicants:

Jianqiang Liu, Campbell, CA (US);

Manat Maolinbay, Gilroy, CA (US);

Chwen-yuan Ku, San Jose, CA (US);

Linbo Yang, Pleasanton, CA (US);

Inventors:

Jianqiang Liu, Campbell, CA (US);

Manat Maolinbay, Gilroy, CA (US);

Chwen-yuan Ku, San Jose, CA (US);

Linbo Yang, Pleasanton, CA (US);

Assignee:

AlxSCAN, Inc., Sunnyvale, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); A61B 6/02 (2006.01); A61B 6/03 (2006.01); A61B 6/04 (2006.01); A61B 6/06 (2006.01); A61B 6/08 (2006.01); G01N 23/044 (2018.01); G01N 23/083 (2018.01); G01N 23/18 (2018.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 11/00 (2006.01); G06T 17/00 (2006.01); G06V 10/25 (2022.01); G06V 10/62 (2022.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
A61B 6/541 (2013.01); A61B 6/025 (2013.01); A61B 6/032 (2013.01); A61B 6/035 (2013.01); A61B 6/0407 (2013.01); A61B 6/06 (2013.01); A61B 6/08 (2013.01); A61B 6/4007 (2013.01); A61B 6/4014 (2013.01); A61B 6/4021 (2013.01); A61B 6/405 (2013.01); A61B 6/4208 (2013.01); A61B 6/4283 (2013.01); A61B 6/4405 (2013.01); A61B 6/4441 (2013.01); A61B 6/4452 (2013.01); A61B 6/4476 (2013.01); A61B 6/4482 (2013.01); A61B 6/467 (2013.01); A61B 6/482 (2013.01); A61B 6/54 (2013.01); A61B 6/542 (2013.01); A61B 6/56 (2013.01); A61B 6/583 (2013.01); G01N 23/044 (2018.02); G01N 23/083 (2013.01); G01N 23/18 (2013.01); G06T 7/0012 (2013.01); G06T 7/0016 (2013.01); G06T 7/11 (2017.01); G06T 11/003 (2013.01); G06T 11/006 (2013.01); G06T 17/00 (2013.01); G06V 10/25 (2022.01); G06V 10/62 (2022.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); A61B 6/4275 (2013.01); A61B 6/502 (2013.01); G01N 2223/401 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10076 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30064 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30168 (2013.01); G06T 2210/41 (2013.01); G06V 2201/032 (2022.01);
Abstract

System and method are disclosed for imaging acquisition from sparse partial scans of distributed wide angle. During real time image reconstruction, artificial intelligence (AI) determines if there is enough information to perform diagnostics based on initial scans. If there is enough information from the fractional scans, then data acquisition stops; if more information is needed, then system performs another round of wide-angle sparse scans in a new location progressively until a result is satisfactory. The system reduces X-ray dose on a patient and performs quicker X-ray scan at multiple pulsed source-in-motion tomosynthesis imaging system. The method and system also significantly reduce the amount of time required to display high quality three-dimensional tomosynthesis images.


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