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:
Apr. 14, 2026

Filed:

Nov. 06, 2023
Applicants:

Siemens Medical Solutions Usa, Inc., Malvern, PA (US);

The Trustees of the University of Pennsylvania, Philadelphia, PA (US);

Inventors:

Mael Millardet, Knoxville, TN (US);

Samuel Matej, Springfield, PA (US);

Deepak Bharkhada, Knoxville, TN (US);

Vladimir Panin, Knoxville, TN (US);

Joshua Schaefferkoetter, Knoxville, TN (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 12/20 (2026.01);
U.S. Cl.
CPC ...
G06T 12/20 (2026.01); G06T 2210/41 (2013.01); G06T 2211/441 (2023.08);
Abstract

Systems and methods for reconstructing medical images based on the trained deep learning processes, and for training deep learning processes, are disclosed. In some examples, image measurement data is received. A histo-image is generated based on the image measurement data. Further, an attenuation map, such as a μ-map, is received. An attenuation histo-image is generated based on the attenuation map. Further, a trained machine learning process, such as a trained neural network, is applied to features generated from the histo-image and the attenuation histo-image. Based on the application of the machine learning process to the histo-image and the attenuation histo-image, output image data characterizing an image volume is generated. In some examples, a machine learning process is trained based on histo-images and corresponding attenuation histo-images. The trained machine learning process may be employed to reconstruct images, such as positron emission tomography (PET) images.


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