IP Library Granted Patent US 11,669,969
Granted Patent B2
US 11,669,969 · App. 17/144,565 · Granted Jun 6, 2023

Method and system for rule based display of sets of images using image content derived parameters

Inventors: Malte Westerhoff (Berlin, DE); Detlev Stalling (Berlin, DE)
Assignee: PME IP PTY LTD
G06T7/0014A61B6/463A61B6/466A61B6/5217A61B6/5294G06T15/08G16H30/20G06T2207/10081G06T2207/10088G06T2207/10104G06T2207/10121G06T2207/10124G06T2207/20081G06T2207/20084G06T2207/30004G16H50/20
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,669,969
App. No.
17/144,565
Granted
Jun 6, 2023
Kind
B2
Abstract

The invention provides, in some aspects, a system for implementing a rule derived basis to display image sets. In various embodiments of the invention, the selection of the images to be displayed, the layout of the images, as well as the rendering parameters and styles can be determined using a rule derived basis. The rules are based on meta data of the examination as well as image content that is being analyzed by neuronal networks. In an embodiment of the present invention, the user is presented with images displayed based on their preferences without having to first manually adjust parameters.

Claims (78)

1. A method comprising:

(a) selecting a first primary Study of a patient selected from a plurality of primary studies;

(b) selecting as a ParameterA an anatomical characteristic in the first primary study;

(c) executing a program which applies one or more Study Selection Rules to

(i) generate a first list of a plurality of secondary studies based on the patient and the ParameterA from the plurality of primary studies;

(ii) generate from the first list one or more ImageContentBased parameters using Convolutional Neural Networks (CNN);

(iii) select a second list of one or more secondary studies from the first list based on a presence of the one or more ImageContentBased parameters; and

(d) displaying the one or more studies recited in the second list.

2. The method of claim 1 , where the anatomical characteristic is selected from the group consisting of SPINE, CHEST, ABDOMEN, BREAST, SHOULDER, TRAPEZIUS, ARM, ELBOW, WRIST, FINGER, PELVIS, HIP, FIBULAR, KNEE, TIBULAR, ANKLE, FOOT, NECK, HEAD, TEMPOROMANDIBULAR JUNCTION, FACE, BRAIN, DENTITION, SINUS, ADRENALS, RETINA, PITUITARY, and PROSTATE.

3. The method of claim 1 , where the one or more Study Selection Rules at least require

IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA”),

THEN SELECT other studies for loading WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA”).

4. The method of claim 1 , where the one or more Study Selection Rules at least require

IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA”),

and the CNN generates Primary.ImageContentBasedParameter=“ParameterC” and Other.ImageContentBasedParameter=“ParameterD”,

THEN SELECT other studies for loading WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” AND INTERSECTION(ParameterC,ParameterD) NOT EMPTY).

5. The method of claim 1 , where the one or more Study Selection Rules at least requires

IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA”),

THEN SELECT other studies for loading,

WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” AND

INTERSECTION(Primary.ImageContentBasedParameter,

Other.ImageContentBasedParameter) NOT EMPTY).

6. The method of claim 1 , further comprising a ParameterB, where the ParameterB is a Modality in the first primary study, where the one or more Study Selection Rules generate the first list of the plurality of secondary studies based on the ParameterA, the patient and the Parameter B from the plurality of primary studies.

7. The method of claim 6 , where the ParameterB is selected from the group consisting of Computed Radiography, Computer Tomography, Digital Radiography, Mammography, Magnetic Resonance, Opthalmic Photography, Positron Emission Tomography, Radio Fluoroscopy, and X-Ray Angiography.

8. The method of claim 6 , where the one or more Study Selection Rules require IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA” and Primary.Dicom.Modality=“ParameterB”),

THEN SELECT other studies for loading WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” and Other.Dicom.Modality=“ParameterB”).

9. The method of claim 6 , where the one or more Study Selection Rules require IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA” and Primary.Dicom.Modality=“ParameterB”),

and the CNN generates Primary.ImageContentBasedParameter=“ParameterC” and Other.ImageContentBasedParameter=“ParameterD”,

THEN SELECT other studies for loading WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” AND Other.Dicom.Modality=“ParameterB” AND

INTERSECTION(ParameterC,ParameterD) NOT EMPTY).

10. The method of claim 6 , where the one or more Study Selection Rules require IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA” and Primary.Dicom.Modality=“ParameterB”),

THEN SELECT other studies for loading,

WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” AND

Other.Dicom.Modality=“ParameterB” AND

INTERSECTION(Primary.ImageContentBasedParameter,

Other.ImageContentBasedParameter) NOT EMPTY).

11. A method comprising:

(a) selecting a first primary Study of a patient selected from a plurality of primary studies;

(b) selecting as a ParameterA a disease based characteristic in the first primary study;

(c) executing a program which applies one or more Study Selection Rules to

(i) generate a first list of a plurality of secondary studies based on the patient and the ParameterA from the plurality of primary studies;

(ii) generate from the first list one or more ImageContentBased parameters using Convolutional Neural Networks (CNN);

(iii) select a second list of one or more secondary studies from the first list based on a presence of the one or more ImageContentBased parameters; and

(d) displaying the one or more studies recited in the second list.

12. The method of claim 11 , where the one or more Study Selection Rules in require

IF (Primary.Dicom.DiseaseCharacteristic=“ParameterA”),

THEN SELECT other studies for loading WHERE (Other.Dicom.DiseaseCharacteristic=“ParameterA”).

13. The method of claim 11 , where the one or more Study Selection Rules in require

IF (Primary.Dicom.DiseaseCharacteristic=“ParameterA”),

and the CNN generates Primary.ImageContentBasedParameter=“ParameterC” and Other.ImageContentBasedParameter=“ParameterD”,

THEN SELECT other studies for loading WHERE (Other.Dicom.DiseaseCharacteristic=“ParameterA” AND INTERSECTION(ParameterC,ParameterD) NOT EMPTY).

14. The method of claim 11 , where the one or more Study Selection Rules require IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA”),

THEN SELECT other studies for loading

WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” AND

INTERSECTION(Primary.ImageContentBasedParameter,Other.ImageContentBasedParamete r) NOT EMPTY).

15. The method of claim 11 , further comprising a ParameterB, where the ParameterB is a Modality in the first primary study, where the one or more Study Selection Rules generate the first list of the plurality of secondary studies based on the ParameterA, the patient and the Parameter B from the plurality of primary studies.

16. The method of claim 15 , where the ParameterB is selected from the group consisting of Computed Radiography, Computer Tomography, Digital Radiography, Mammography, Magnetic Resonance, Opthalmic Photography, Positron Emission Tomography, Radio Fluoroscopy, and X-Ray Angiography.

17. The method of claim 15 , where the one or more Study Selection Rules require IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA” and Primary.Dicom.Modality=“ParameterB”),

THEN SELECT other studies for loading WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” and Other.Dicom.Modality=“ParameterB”).

18. The method of claim 15 , where the one or more Study Selection Rules require IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA” and Primary.Dicom.Modality=“ParameterB”),

and the CNN generates Primary.ImageContentBasedParameter=“ParameterC” and Other.ImageContentBasedParameter=“ParameterD”,

THEN SELECT other studies for loading WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” AND Other.Dicom.Modality=“ParameterB” AND

INTERSECTION(ParameterC,ParameterD) NOT EMPTY).

19. The method of claim 15 , where the one or more Study Selection Rules require IF (Primary.Dicom.AnatomicalCharacteristic=“ParameterA” and Primary.Dicom.Modality=“ParameterB”),

THEN SELECT other studies for loading,

WHERE (Other.Dicom.AnatomicalCharacteristic=“ParameterA” AND

Other.Dicom.Modality=“ParameterB” AND

INTERSECTION(Primary.ImageContentBasedParameter,

Other.ImageContentBasedParameter) NOT EMPTY).

20. A method comprising:

(a) selecting a first primary Study of a patient selected from a plurality of primary studies;

(b) selecting from the group consisting of an anatomical characteristic and a disease based characteristic as a ParameterA in the first primary study;

(c) selecting a Modality as a ParameterB in the first primary study;

(d) executing a program which applies one or more Study Selection Rules to

(i) generate a first list of a plurality of secondary studies based on the patient, the ParameterA, and the ParameterB from the plurality of primary studies;

(ii) generate from the first list one or more ImageContentBased parameters using Convolutional Neural Networks (CNN);

(iii) select a second list of one or more secondary studies from the first list based on the presence of the one or more ImageContentBased parameters; and

(e) displaying the one or more studies recited in the second list.

Continuity (5)
Continuation 16052563 · Aug 1, 2018
Provisional Application 62712912 · Jul 31, 2018
Provisional Application 62576587 · Oct 24, 2017
Provisional Application 62562460 · Sep 24, 2017
Related Publication 20210133975A1 · May 6, 2021