Optimal contrast injection protocol engine
US-2018239876-A1 · Aug 23, 2018 · US
US2026080982A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2026080982-A1 |
| Application number | US-202319109553-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 7, 2023 |
| Priority date | Sep 8, 2022 |
| Publication date | Mar 19, 2026 |
| Grant date | — |
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A system and method for generating protocols that can be used for medical imaging studies. The method can include receiving information about a subject patient and information about a subject imaging study: determining, based on the information about the subject patient and the information about the subject imaging study, one or more risk factors particular to the subject patient: selecting two or more models, wherein the two or more models include at least one model of each of at least two aspects of the subject imaging study; and applying the two or more models to generate a baseline study protocol for the subject imaging study. The baseline study protocol is based upon at least the information about the subject patient and the one or more risk factors. The baseline study protocol includes parameters of the at least two aspects of the subject imaging study.
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1 . A system for generating protocols that can be used for medical imaging studies, comprising: one or more processors; non-transitory, computer readable media comprising instructions stored therein, wherein the instructions, when executed by the one or more processors, will cause the system to: receive, from one or more data sources, information about a subject patient and information about a subject imaging study; determine, based on the information about the subject patient and the information about the subject imaging study, one or more risk factors particular to the subject patient; select two or more models, wherein the two or more models comprise at least one model of each of at least two aspects of the subject imaging study; and apply the two or more models to generate a baseline study protocol for the subject imaging study, wherein the baseline study protocol is based upon at least the information about the subject patient and the one or more risk factors, and wherein the baseline study protocol comprises parameters of the at least two aspects of the subject imaging study. 2 . The system according to claim 1 , wherein the baseline study protocol comprises a contrast injection protocol comprising at least a total contrast dose and a maximum flow rate, and an image acquisition protocol comprising at least scan parameters, scan duration, a timing parameter for coordination with a contrast injection, and one or more image reconstruction algorithms. 3 . The system according to claim 1 , wherein the two or more models comprise a plurality of models of one aspect of the imaging procedure, wherein the two or more models are configured to operate in parallel to transform a same or similar inputs. 4 . The system according to claim 1 , wherein the two or more models are applied in a sequence, wherein the sequence is determined based upon at least one or more patient characteristics and a desired optimization of the one or more risk factors. 5 . The system according to claim 4 , wherein the system is configured to allow a user to accept or change the sequence based on the user's knowledge or preference. 6 . The system according to claim 1 , wherein the instructions, when executed by the one or more processors, will additionally cause the system to: perform one or more iteration cycles through at least one of the two or more models to optimize one or more of the parameters of the baseline study protocol. 7 . The system according to claim 6 , wherein the instructions, when executed by the one or more processors, will additionally cause the system to: present to a user in a selectable format an outcome of one or more of the iteration cycles if none of the iteration cycles provides an optimized outcome. 8 . The system according to claim 1 , further comprising a user interface, wherein expected parameters of the baseline study protocol are displayed for user confirmation or further adjustment. 9 . The system of claim 8 , wherein the user interface provides one or more selectable user interface elements which allows an operator to adjust the one or more risk factors particular to the subject patient. 10 . The system of claim 9 , wherein at least one of the one or more selectable user interface elements is in the form of a slider bar that is adjustable by a user. 11 . The system of claim 10 , wherein the user interface is a graphical user interface display screen, and the one or more user interface elements can be adjusted by a touch of the user on the graphical user interface display screen. 12 . The system according to claim 1 , wherein at least one of the two or more models relates to at least one of a fluid injection aspect of the subject imaging study and an image creation aspect of the subject imaging study. 13 . The system according to claim 12 , wherein at least two of the two or more models relate to at least one of the fluid injection aspect of the subject imaging study and the image creation aspect of the subject imaging study. 14 . The system according to claim 13 , wherein a first of the two or more models relates to the fluid injection aspect of the subject imaging study and a second of the two or more models relates to the image creation aspect of the subject imaging study. 15 . The system according to claim 1 , wherein the parameters include at least one of the following: total contrast volume, maximum flow rate, contrast delivery rate, average flow rate, contrast temperature, contrast viscosity, contrast concentration, IV access location, region of scan, potential applied to X-ray tube, maximum current applied to X-ray tube, scan speed, scan duration, radiation dose, signal/noise ratio, contrast/noise ratio, or spatial/resolution ratio. 16 . The system according to claim 1 , wherein the information about the subject patient comprises at least one of height, weight, body mass index, cardiac output, gender, age, ethnicity, thoracic width, thoracic circumference, medications taken, underlying medical conditions, physical ability, vital signs, pregnant/expecting to become pregnant, genetic predisposition of the subject patient, allergies, results of previous imaging exams for the subject patient, and known radiation sensitivity of the subject patient. 17 . The system according to claim 1 , wherein the one or more data sources comprise at least one of an electronic medical record (EMR) system comprising an electronic medical record of the patient, an electronic health record (EHR) system, a patient procedure tracking system, a radiology analytics system (RAS), a digital pathology system (DPS), a picture archive and communication system (PACS), a hospital data system, a hospital purchase order system comprising an order for a study to be performed for the subject patient, a database comprising previous scan results for the patient, a database comprising previous scan results for one or more other patients, or a government guidelines database of acceptable radiation dose and contrast dose levels. 18 . The system according to claim 1 , wherein the information about the subject imaging study comprises information about a fluid injector associated with the subject imaging study wherein the information about the fluid injector includes information from a test injection or patency check using saline, information about capabilities and tolerances of the fluid injector, and/or presence of external sensors for monitoring injections performed by the fluid injector. 19 . The system according to claim 1 , wherein the one or more risk factors are related to at least one of contrast dose, radiation dose, risk of extravasation, patient discomfort, risk of anaphylactic shock, and image quality. 20 . The system according to claim 6 , wherein the one or more iteration cycles optimize one or more parameters of the baseline study protocol by applying an algorithm that minimizes or maximizes selected parameter values, an algorithm for ensuring that certain parameters are within a target or threshold range, or a weighted function to parameter values of the baseline study protocol. 21 . A method for generating protocols that can be used for medical imaging studies, comprising: receiving, from one or more data sources, information about a subject patient and information about a subject imaging study; determining, based on the information about the subject patient and the information about the subject imaging study, one or more risk factors particular to the subject patient; selecting two or more
involving the use of contrast agents · CPC title
for selecting a region of interest [ROI] · CPC title
adapted to display user selection data, e.g. graphical user interface, icons or menus · CPC title
for calculating health indices; for individual health risk assessment · CPC title
delivered via infusion or injection · CPC title
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