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. 21, 2023

Filed:

Nov. 04, 2020
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Noha El-Zehiry, Plainsboro, NJ (US);

Karim Amer, Cairo, EG;

Mickael Sonni Albert Ibrahim Ide, Lawrence Township, NJ (US);

Athira Jacob, Plainsboro, NJ (US);

Gareth Funka-Lea, Princeton, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/13 (2017.01); G06T 11/00 (2006.01); G06T 7/00 (2017.01); G06N 3/08 (2006.01); G06V 10/25 (2022.01); G06V 30/262 (2022.01); A61B 8/14 (2006.01); A61B 8/08 (2006.01);
U.S. Cl.
CPC ...
G06T 7/13 (2017.01); A61B 8/0883 (2013.01); A61B 8/14 (2013.01); G06N 3/08 (2013.01); G06T 7/0014 (2013.01); G06T 11/003 (2013.01); G06V 10/25 (2022.01); G06V 30/274 (2022.01); G06T 2200/24 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01);
Abstract

The disclosure relates to a method for determining a boundary about an area of interest in an image set. The includes obtaining the image set from an imaging modality and processing the image set in a convolutional neural network. The convolutional neural network is trained to perform the acts of predicting an inverse distance map for the actual boundary in the image set; and deriving the boundary from the inverse distance map. The disclosure also relates to a method of training a convolutional neural network for use in such a method, and a medical imaging arrangement.


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