# US 12,181,555 B2 · 3-dimensional representations of post-contrast enhanced brain lesions

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 12,181,555 B2
- Document ID: US12181555B2
- Status: Granted
- Kind: B2
- Application number: 18/425,964
- Filed: 2024-01-29
- Published: 2024-05-23
- Granted: 2024-12-31
- Earliest claimed: 2018-02-26
- Assignees: Board of Regents, The University of Texas System
- Applicants: The Board of Regents of the University of Texas System
- Inventors: Darin Okuda
- Web page: https://patentgrep.com/patent/US12181555B2

## CPC

- G01R 33/5608: {Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels (image data processing or generation, in general G06T)}
- G01R 33/4822: {in three dimensions}
- G01R 33/5601: {involving use of a contrast agent for contrast manipulation, e.g. a paramagnetic, super-paramagnetic, ferromagnetic or hyperpolarised contrast agent}
- G06N 20/00: Machine learning
- G06T 7/0016: {involving temporal comparison}
- G06T 7/11: Region-based segmentation
- A61K 49/106: {the complex-forming compound being cyclic, e.g. DOTA}
- G06T 2200/04: involving 3D image data
- G06T 2207/10088: Magnetic resonance imaging [MRI]
- G06T 2207/30016: Brain
- G06T 2207/30096: Tumor; Lesion
- G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- A61K: PREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES (devices or methods specially adapted for bringing pharmaceutical products into particular physical or administering forms A61J3/00; chemical aspects of, or use of materials for deodorisation of air, for disinfection or sterilisation, or for bandages, dressings, absorbent pads or surgical articles A61L; soap compositions C11D)

## Abstract

3D MRI images of the brain may be created and acquired. After administration of contrast, brain lesions and other abnormalities may be identified and isolated from the 3D MRI images, with each lesion serving as a region of interest (ROI). 3D region of contrast enhancement images may be created from segmented 3D MRI images and different regions of contrast enhancement of the brain lesion may be depicted. Saved regions of contrast enhancement may be converted into stereolithography format, maximum intensity projection (MIP) images, and/or orthographic projection images. Data corresponding to these resulting 3D region of contrast enhancement images may be used to create 3D printed models of the isolated region of contrast enhancement. Analysis of the 3D brain region of contrast enhancement images and the 3D printed region of contrast enhancement models may enable a more efficient and accurate way of determining brain lesion risk factors and effective treatment regimens.

## Claims

### Claim 1

A system for creating a 3-dimensional (3D) representation of a contrast-enhanced brain lesion, the system comprising:
a computer system comprising a processor and being configured to:
obtain a first 3D representation of a contrast-enhanced brain lesion generated at a first time;
obtain a second 3D representation of the contrast-enhanced brain lesion generated at a second time, the second time being later than the first time;
quantify a change in a characteristic of the contrast-enhanced brain lesion that changed from the first time to the second time, the characteristic comprising the contrast-enhanced brain lesion's shape, geometry, size, topology, volume, or surface area; and
generate a third 3D representation of the contrast-enhanced brain lesion, the third 3D representation including a visible indication of the change in the characteristic.

### Claim 2 (depends on 1)

The system of claim 1, wherein the computer system is configured to:
quantify a change in each of multiple characteristics of the contrast-enhanced brain lesion that changed from the first time to the second time, the multiple characteristics comprising the contrast-enhanced brain lesion's shape, geometry, size, and topology; and
generate a third 3D representation of the contrast-enhanced brain lesion that includes a visible indication of each quantified change.