IP Library › Granted Patent US 12,555,674
Granted Patent B2
US 12,555,674 · App. 18/314,334 · Granted Feb 17, 2026

Method for providing an edited medical image obtained by applying a tool selected based on an anatomical region

Inventors: Volker Schaller (Uttenreuth, DE); Bjorn Nolte (Fuerth, DE)
Assignee: Siemens Healthineers AG
G16H30/40G06T7/0012
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Quick Facts
Patent No.
US 12,555,674
App. No.
18/314,334
Granted
Feb 17, 2026
Kind
B2
Abstract

A computer-implemented method for providing an edited medical image, comprises: receiving a medical image depicting an examination region of a patient; receiving patient information for the patient; determining an anatomical region based on the medical image and the patient information, wherein the examination region includes the anatomical region; selecting a tool based on the anatomical region, wherein the tool is configured to edit the medical image; applying the selected tool to the medical image to obtain the edited medical image; and providing the edited medical image.

Claims (90)

1 . A computer-implemented method for providing an edited medical image, the computer-implemented method comprising:

receiving a medical image depicting an examination region of a patient, the medical image being associated with a set of attributes;

receiving patient information for the patient, the patient information including at least one of an entry from a patient file or a diagnostic task;

determining an anatomical region based on a set of observables, the examination region including the anatomical region, the determining including determining the set of observables, and the determining the set of observables including

determining at least one keyword by applying a linguistic analysis function to the at least one of the entry from the patient file or the diagnostic task, and

comparing the at least one keyword with the set of attributes;

selecting a tool based on the anatomical region, the tool being configured to edit the medical image;

applying the tool to the medical image to obtain the edited medical image; and

providing the edited medical image.

2 . The computer-implemented method as claimed in claim 1 , wherein the patient information includes at least one of:

entries from the patient file of the patient;

at least one further medical image of the patient, the at least one further medical image being different from the medical image; or

the diagnostic task, the diagnostic task being associated with the medical image.

3 . The computer-implemented method as claimed in claim 2 , further comprising:

determining further medical images of the patient depicting the anatomical region based on the patient information; and

providing the further medical images.

4 . The computer-implemented method as claimed in claim 3 , further comprising:

applying the tool to the further medical images to obtain edited further medical images; and

providing the edited further medical images.

5 . The computer-implemented method as claimed in claim 4 , wherein the determining the anatomical region comprises:

determining the anatomical region from among a plurality of anatomical regions using pattern recognition, each of the plurality of anatomical regions being associated with a corresponding set of typical observables, and the pattern recognition being used to determine, the anatomical region from among the plurality of anatomical regions as that for which the corresponding set of typical observables best matches the set of observables.

6 . The computer-implemented method as claimed in claim 1 , wherein an observable from among the set of observables is one of:

a system-internal observable;

an entry in the set of attributes;

a body part associated with a medical finding according to the patient information;

an abnormal laboratory value according to the patient information;

a body region from which; a tissue sample was taken according to the patient information;

a suspected diagnosis or medical finding according to the patient information; or

a keyword from the diagnostic task, the diagnostic task being associated with the medical image.

7 . The computer-implemented method as claimed in claim 6 , wherein the determining the anatomical region comprises:

determining the anatomical region from among a plurality of anatomical regions using pattern recognition, each of the plurality of anatomical regions being associated with a corresponding set of typical observables, and the pattern recognition being used to determine, the anatomical region from among the plurality of anatomical regions as that for which the corresponding set of typical observables best matches the set of observables.

8 . The computer-implemented method as claimed in claim 1 , wherein the determining the anatomical region comprises:

determining the anatomical region from among a plurality of anatomical regions using pattern recognition, each of the plurality of anatomical regions being associated with a corresponding set of typical observables, and the pattern recognition being used to determine the anatomical region from among the plurality of anatomical regions as that for which the corresponding set of typical observables best matches the set of observables.

9 . The computer-implemented method as claimed in claim 1 , further comprising:

providing the set of observables; and

receiving a user input relating to the set of observables, the determining the anatomical region being performed based on the user input.

10 . The computer-implemented method as claimed in claim 9 , wherein the user input relating to the set of observables includes at least one of prioritizing, deleting or selecting one or more observables among the set of observables.

11 . The computer-implemented method as claimed in claim 1 , further comprising:

determining a search profile for similar patients based on at least one of the patient information or the medical image;

determining at least one similar patient, from among a plurality of reference patients, by applying the search profile; and

providing information relating to the at least one similar patient.

12 . The computer-implemented method as claimed in claim 11 , wherein

the information relating to the at least one similar patient includes a diagnosis of the at least one similar patient; and

the providing the information relating to the at least one similar patient includes providing the diagnosis of the at least one similar patient.

13 . The computer-implemented method as claimed in claim 11 , wherein

the information relating to the at least one similar patient includes a medical image of the at least one similar patient; and

the computer-implemented method further includes

applying the tool to the medical image of the at least one similar patient to obtain an edited medical image of the at least one similar patient, and

providing the edited medical image of the at least one similar patient.

14 . A system for providing an edited medical image, the system comprising:

an interface configured to

receive a medical image depicting an examination region of a patient, the medical image being associated with a set of attributes,

receive patient information for the patient, the patient information including at least one of an entry from a patient file or a diagnostic task, and

provide the edited medical image; and

a computing unit configured to

determine an anatomical region based on a set of observables, the examination region including the anatomical region, the determination of the anatomical region including determining the set of observables, and the determining the set of observables including

determining at least one keyword by applying a linguistic analysis function to the at least one of the entry from the patient file or the diagnostic task, and

comparing the at least one keyword with the set of attributes,

select a tool based on the anatomical region, the tool being configured to edit the medical image, and

apply the tool to the medical image to obtain the edited medical image.

15 . A non-transitory computer program product including a computer program, which can be loaded into a memory of a system, and which contains program segments that, when executed by the system, cause the system to perform the computer-implemented method of claim 1 .

16 . A non-transitory computer-readable storage medium storing program segments that, when executed by a system, cause the system to perform the computer-implemented method of claim 1 .

17 . A computer-implemented method for providing an edited medical image, the computer-implemented method comprising:

receiving a medical image depicting an examination region of a patient;

receiving patient information for the patient;

determining an anatomical region based on a set of observables, the examination region including the anatomical region, and the determining including

determining the set of observables based on the medical image and the patient information, and

determining the anatomical region from among a plurality of anatomical regions using pattern recognition, each of the plurality of anatomical regions being associated with a corresponding set of typical observables, and the pattern recognition being used to determine the anatomical region from among the plurality of anatomical regions as that for which the corresponding set of typical observables best matches the set of observables;

selecting a tool based on the anatomical region, the tool being configured to edit the medical image;

applying the tool to the medical image to obtain the edited medical image; and

providing the edited medical image.

18 . The computer-implemented method as claimed in claim 17 , wherein the patient information includes at least one of:

entries from a patient file of the patient;

at least one further medical image of the patient, the at least one further medical image being different from the medical image; or

a diagnostic task associated with the medical image.

19 . A system for providing an edited medical image, the system comprising:

an interface configured to

receive a medical image depicting an examination region of a patient,

receive patient information for the patient, and

provide the edited medical image; and

a computing unit configured to

determine an anatomical region based on a set of observables, the examination region including the anatomical region, and the determination of the anatomical region including

determining the set of observables based on the medical image and the patient information, and

determining the anatomical region from among a plurality of anatomical regions using pattern recognition, each of the plurality of anatomical regions being associated with a corresponding set of typical observables, and the pattern recognition being used to determine the anatomical region from among the plurality of anatomical regions as that for which the corresponding set of typical observables best matches the set of observables,

select a tool based on the anatomical region, the tool being configured to edit the medical image, and

apply the tool to the medical image to obtain the edited medical image.

20 . The system as claimed in claim 19 , wherein the patient information includes at least one of:

entries from a patient file of the patient;

at least one further medical image of the patient, the at least one further medical image being different from the medical image; or

a diagnostic task associated with the medical image.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 20, 2023
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 066267/0346 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 8, 2023
From: SCHALLER, VOLKER; NOLTE, BJOERN
To: SIEMENS HEALTHCARE GMBH
Reel/Frame 065496/0060 →
Priority Claims (1)
EP 22172818 · May 11, 2022 · regional
Continuity (1)
Related Publication 20230368898A1 · Nov 16, 2023
References Cited (7)
US 20170245940A1 · Piron · 2017 [cited by examiner]
US 20220092774A1 · Kohle · 2022 [cited by examiner]
US 20220101960A1 · Kohle · 2022 [cited by examiner]
DE 102020211843A1 · 2022 [cited by applicant]
Supplement 23: Structured Reporting SOP classes p. 1 DICOM Standards Committee Digital Imaging and Communications in Medicine (DICOM) Supplement 23: Structured Reporting STorage SOP Classes Final Text Apr. 6, 2000; 2000. [cited by applicant]
“DICOM Standard” https://www.dicomstandard.org [retrieved on Apr. 26, 2023]. [cited by applicant]
“FHIR standard—Fast Healthcare Interoperability Resources”, https://www.fhir.org/ [retrieved on Apr. 26, 2023]. [cited by applicant]