# US 10,373,345 B2 · Adaptive image display characteristics > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,373,345 B2 - Document ID: US10373345B2 - Status: Granted - Kind: B2 - Application number: 15/481,023 - Filed: 2017-04-06 - Published: 2018-10-11 - Granted: 2019-08-06 - Earliest claimed: 2017-04-06 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Dennis G. Moore - Web page: https://patentgrep.com/patent/US10373345B2 ## CPC - G06T 11/60: Creating or editing images; Combining images with text - G06T 11/10: Texturing; Colouring; Generation of textures or colours (retouching, inpainting or scratch removal G06T5/77) - G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract Learning methods and systems are provided for predictive medical image calibration. In various embodiments, a request is received from a user for an image. One or more characteristic of the image is determined. One or more characteristic of the user is determined. A generalized linear model is applied to the one or more characteristic of the image and the one or more characteristic of the user to determine one or more image transformation. The one or more image transformation is applied to the image. The generalized linear model is updated based on any user-applied image transformations. ## Claims ### Claim 1 A method comprising: receiving a request from a user for an image; determining one or more characteristic of the image; determining one or more characteristic of the user; applying a generalized linear model to the one or more characteristic of the image and the one or more characteristic of the user to determine one or more image transformation; applying the one or more image transformation to the image; receiving a user-applied transformation applied to the image; and updating the generalized linear model based on the user-applied image transformation. ### Claim 2 (depends on 1) The method of claim 1, wherein determining the one or more characteristic of the image comprises reading image metadata. ### Claim 3 (depends on 1) The method of claim 1, wherein determining the one or more characteristic of the image comprises reading DICOM headers. ### Claim 4 (depends on 1) The method of claim 1, wherein the one or more characteristic of the image comprises subject anatomy, exam type, make or model of imaging equipment, modality, presence of a region of interest, average luminosity of the image, or image resolution. ### Claim 5 (depends on 1) The method of claim 1, wherein the one or more characteristic of the user comprises specialty, visual acuity, characteristics of the user's display, or user history. ### Claim 6 (depends on 1) The method of claim 1, wherein the one or more image transformation comprises window/level, color balance, zoom, crop, addition of text annotation, addition of arrow annotation, or addition of line annotation. ### Claim 7 A system comprising: an image store; and a computing node comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor of the computing node to cause the processor to perform a method comprising: receiving a request from a user for an image; determining one or more characteristic of the image; determining one or more characteristic of the user; applying a generalized linear model to the one or more characteristic of the image and the one or more characteristic of the user to determine one or more image transformation; retrieving the image from the image store; applying the one or more image transformation to the image; receiving a user-applied transformation applied to the image; and updating the generalized linear model based on the user-applied image transformation. ### Claim 8 (depends on 7) The system of claim 7, wherein determining the one or more characteristic of the image comprises reading image metadata. ### Claim 9 (depends on 7) The system of claim 7, wherein determining the one or more characteristic of the image comprises reading DICOM headers. ### Claim 10 (depends on 7) The system of claim 7, wherein the one or more characteristic of the image comprises subject anatomy, exam type, make or model of imaging equipment, modality, presence of a region of interest, average luminosity of the image, or image resolution. ### Claim 11 (depends on 7) The system of claim 7, wherein the one or more characteristic of the user comprises specialty, visual acuity, characteristics of the user's display, or user history. ### Claim 12 (depends on 7) The system of claim 7, wherein the one or more image transformation comprises window/level, color balance, zoom, crop, addition of text annotation, addition of arrow annotation, or addition of line annotation. ### Claim 13 A computer program product for adapting image display characteristics, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising: receiving a request from a user for an image; determining one or more characteristic of the image; determining one or more characteristic of the user; applying a generalized linear model to the one or more characteristic of the image and the one or more characteristic of the user to determine one or more image transformation; applying the one or more image transformation to the image; receiving a user-applied transformation applied to the image; and updating the generalized linear model based on the user-applied image transformation. ### Claim 14 (depends on 13) The computer program product of claim 13, wherein determining the one or more characteristic of the image comprises reading image metadata. ### Claim 15 (depends on 13) The computer program product of claim 13, wherein determining the one or more characteristic of the image comprises reading DICOM headers. ### Claim 16 (depends on 13) The computer program product of claim 13, wherein the one or more characteristic of the image comprises subject anatomy, exam type, make or model of imaging equipment, modality, presence of a region of interest, average luminosity of the image, or image resolution. ### Claim 17 (depends on 13) The computer program product of claim 13, wherein the one or more characteristic of the user comprises specialty, visual acuity, characteristics of the user's display, or user history. ### Claim 18 (depends on 13) The computer program product of claim 13, wherein the one or more image transformation comprises window/level, color balance, zoom, crop, addition of text annotation, addition of arrow annotation, or addition of line annotation.