# US 2023/0056923 A1 · Automatically detecting characteristics of a medical image series > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0056923 A1 - Document ID: US20230056923A1 - Status: Published application - Kind: A1 - Application number: 17/407,516 - Filed: 2021-08-20 - Published: 2023-02-23 - Earliest claimed: 2021-08-20 - Assignees: GE Precision Healthcare LLC - Applicants: GE Precision Healthcare LLC - Inventors: Jiang Hsieh; Maud Bonnard; Sandeep Dutta - Web page: https://patentgrep.com/patent/US20230056923A1 ## CPC - G16H 30/40: for processing medical images, e.g. editing - G06T 7/0012: {Biomedical image inspection} - G06V 10/82: using neural networks - G16H 15/00: ICT specially adapted for medical reports, e.g. generation or transmission thereof - G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS - G16H 40/20: for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract Techniques are described for automatically detecting scan characteristics of a medical image series. According to an embodiment, a system is provided that comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise an image generation component that generates a representative image of a medical image series comprising a plurality of scan images, and a series characterization component that processes the representative image using one or more characteristic detection algorithms to determine one or more characteristics of the medical image series. The system can further tailor the visualization layout for viewing the medical image series based on the one or more characteristics and/or automatically perform various workflow tasks based on the one or more characteristics. ## Claims ### Claim 1 A system, comprising: a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: an image generation component that generates a representative image of a medical image series comprising a plurality of scan images; and a series characterization component that processes the representative image using one or more characteristic detection algorithms to determine one or more characteristics of the medical image series. ### Claim 2 (depends on 1) The system of claim 1, wherein the computer executable components further comprise: an annotation component that generates annotation metadata describing the one or more characteristics and associates the annotation metadata with the image series as stored in one or more databases. ### Claim 3 (depends on 1) The system of claim 1, wherein the computer executable components further comprise: a visualization component that generates a visualization layout for reviewing the medical image series via a medical imaging application based on the one or more characteristics; and a rendering component that renders the medical image series according to the visualization layout in association with reviewing the medical image series via the medical imaging application. ### Claim 4 (depends on 1) The system of claim 1, wherein the computer executable components further comprise: a post-processing component that selects and applies one or more post-processing tasks for processing the medical image series based on the one or more characteristics. ### Claim 5 (depends on 4) The system of claim 4, wherein the one or more post-processing tasks comprise one or more clinical inferencing tasks performed using one or more clinical inferencing models. ### Claim 6 (depends on 1) The system of claim 1, wherein the computer executable components further comprise: a similar case study component that accesses a medical image database comprising a plurality of different medical image studies, identifies a subset of the different medical images studies that are similar to the medical image series based on the one or more characteristics, and extracts the subset for performance of comparative analysis between the subset and the medical image series. ### Claim 7 (depends on 6) The system of claim 6, wherein the medical images series represents a patient identity and wherein the similar case study further identifies the subset based on the subset comprising one or more medical image studies performed for the patient identity in association with the comparative analysis being a longitudinal analysis for the patient identity. ### Claim 8 (depends on 1) The system of claim 1, wherein the computer executable components further comprise: a reception component that receives the medical image series in association with performance of a three-dimensional imaging scan of a patient while the patient is positioned relative to a medical image scanner device; and a feedback component that provides feedback data describing the one or more characteristics to an operating technician of the medical image scanner device to facilitate reviewing whether the medical image series reflects one or more target characteristics for the performance of the three-dimensional imaging scan while the patient is positioned relative to the medical image scanner device. ### Claim 9 (depends on 1) The system of claim 1, wherein the one or more characteristic detection algorithms comprise a series of detection algorithms applied to the representative image in series and wherein the scan characterization component selects subsequent detection algorithms in the series based on results of preceding detection algorithms in the series. ### Claim 10 (depends on 1) The system of claim 1, wherein the one or more characteristics detection algorithms comprise a first detection algorithm and a second detection algorithm, and wherein the scan characterization component selects the second detection algorithm from amongst a plurality of second detection algorithms based on the results of the first detection algorithm. ### Claim 11 (depends on 10) The system of claim 10, wherein the first detection algorithm comprises a scan type detection algorithm adapted to detect a type of the medical image series wherein the second detection algorithms are tailored to different types of medical image series. ### Claim 12 (depends on 1) The system of claim 1, wherein the one or more characteristic detection algorithms are selected from the group consisting of: a scan type detection algorithm, a contrast phase detection algorithm, an anatomic region detection algorithm, and foreign object detection algorithm. ### Claim 13 (depends on 1) The system of claim 1, wherein medical image series is associated with three-dimensional image data representative of a three-dimensional volume of an anatomical region of a patient, and wherein the image generation component generates the representative image from the three-dimensional image data using a three-dimensional to two-dimensional (3D to 2D) image compression processes. ### Claim 14 A method, comprising: generating, by a system operatively coupled to a processor, a representative image of a medical image series comprising a plurality of scan images; and applying, by the system, one or more characteristic detection algorithms to the representative image to determine one or more characteristics of the medical image series. ### Claim 15 (depends on 14) The method of claim 14, further comprising: generating, by the system, annotation metadata describing the one or more characteristics; and associating, by the system, the annotation metadata with the image series as stored in one or more databases. ### Claim 16 (depends on 14) The method of claim 14, further comprising: generating, by the system, a visualization layout for reviewing the medical image series via a medical imaging application based on the one or more characteristics; and rendering, by the system, the medical image series according to the visualization layout in association with reviewing the medical image series via the medical imaging application. ### Claim 17 (depends on 14) The method of claim 14, further comprising: selecting, by the system, one or more post-processing tasks for processing the medical image series based on the one or more characteristics; and executing, by the system, the one or more post-post processing tasks based on the selecting. ### Claim 18 (depends on 14) The method of claim 14, further comprising: accessing, by the system, a medical image database comprising a plurality of different medical image studies; identifying, by the system, a subset of the different medical images studies that are similar to the medical image series based on the one or more characteristics; and extracting, by the system, the subset for performance of comparative analysis between the subset and the medical image series. ### Claim 19 (depends on 14) The method of claim 14, wherein the one or more characteristic detection algorithms comprise a series of detection algorithms applied to the representative image in series and wherein the method further comprises selecting subsequent detection algorithms in the series based on results of preceding detection algorithms in the series. ### Claim 20 (depends on 14) The method of claim 14, wherein the one or more characteristic detection algorithms are selected from the group consisting of: a scan type detection algorithm, a contrast phase detection algorithm, an anatomic region detection algorithm, and foreign object detection algorithm. ### Claim 21 (depends on 14) The method of claim 14, wherein medical image series is associated with three-dimensional image data representative of a three-dimensional volume of an anatomical region of a patient, and wherein the generating, comprises generating the representative image from the three-dimensional image data using a three-dimensional to two-dimensional (3D to 2D) image compression processes. ### Claim 22 A machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising: generating a representative image of a medical image series comprising a plurality of scan images; applying one or more characteristic detection algorithms to the representative image to determine one or more characteristics of the medical image series; and performing one or more processing tasks related to the medical image series selected based on the one or more scan characteristics. ### Claim 23 (depends on 22) The machine-readable storage medium of claim 22, wherein the one or more characteristic detection algorithms comprise a series of detection algorithms applied to the representative image in series and wherein the operations further comprise selecting subsequent detection algorithms in the series based on results of preceding detection algorithms in the series.