Systems and methods for scan preparation

1 . A system for scan preparation, comprising:

a medical device configured to perform the scan;

at least one storage device including a set of instructions; and

at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is configured to direct the system to perform operations including:

obtaining at least one default scan parameter for the scan;

obtaining a first parameter set of a subject to be scanned by the medical device acquired before the scan is performed on the subject, the first parameter set relating to a physiological motion of the subject acquired before the scan is performed on the subject, wherein the first parameter set includes at least one of a first parameter sub-set acquired when the subject is not undergoing any scan and a second parameter sub-set acquired when the subject is undergoing a simulated scan;

inputting the first parameter set to an estimation model to output a second parameter set of the subject by the estimation model, the second parameter set relating to the physiological motion of the subject;

automatically determining at least one scan parameter for the scan based at least in part on the second parameter set output by the estimation model;

performing, by the medical device, the scan on the subject based on the at least one scan parameter, including:

adjusting the at least one default scan parameter according to the at least one scan parameter determined based on the outputted second parameter set of the estimation model; and

performing, by the medical device, the scan on the subject based on the at least one adjusted scan parameter; and

generating an image according to the scan.

2 . The system of claim 1 , wherein the inputting of the estimation model further includes health information of the subject.

3 . The system of claim 1 , wherein the estimation model is a trained machine learning model, the estimation model is generated by a processing including:

obtaining a plurality of first training samples, each of the plurality of first training samples including a first sample parameter set relating to the physiological motion of a sample subject acquired before a sample scan is performed on the sample subject and a second sample parameter set relating to the physiological motion of the sample subject acquired when the sample scan is being performed on the sample subject; and

generating the estimation model by training a first machine learning model using the first plurality of training samples.

4 . The system of claim 3 , wherein the each of the plurality of first training samples includes sample health information of the sample subject.

5 . The system of claim 1 , wherein the first parameter sub-set is acquired during a first time period, the second parameter sub-set is acquired during a second time period different from the first time period, the first parameter set is obtained by one or more detection devices, and the one or more detection devices include an ECG monitor or a wearable device.

6 . The system of claim 5 , wherein the subject is not undergoing any scan during the first time period, and the subject is undergoing the simulated scan during the second time period.

7 . The system of claim 1 , wherein the predicting, based on the first parameter set and an estimation model, a second parameter set of the subject includes:

predicting the second parameter set of the subject by inputting the first parameter set to the estimation model.

8 . The system of claim 1 , wherein the determining at least one scan parameter for the scan based at least in part on the second parameter set includes:

obtaining a recommendation model;

obtaining health information of the subject; and

determining the at least one scan parameter for the scan by inputting the second parameter set and the health information of the subject into the recommendation model.

9 . The system of claim 8 , wherein the inputting the second parameter set and the health information of the subject into the recommendation model includes:

preprocessing the health information of the subject; and

inputting the second parameter set and the preprocessed information of the subject into the recommendation model.

10 . The system of claim 9 , wherein the preprocessing the health information of the subject includes:

performing a word segmentation operation on the health information of the subject.

11 . The system of claim 1 , wherein the at least one processor is further configured to direct the system to perform the operations including:

causing at least a portion of the at least one scan parameter to be presented to a user; and after the generating the image according to the scan,

displaying the image on an interface of a terminal.

12 . The system of claim 11 , wherein

the at least one processor is further configured to direct the system to perform the operations including receiving a user input, and

the causing the medical device to perform the scan on the subject based on the at least one scan parameter includes:

causing the medical device to perform the scan on the subject based on the at least one scan parameter and the user input.

13 . The system of claim 12 , wherein the causing the medical device to perform the scan on the subject based on the at least one scan parameter and the user input includes:

adjusting the at least one scan parameter based on the user input; and

causing the medical device to perform the scan on the subject based on the adjusted at least one scan parameter.

14 . The system of claim 13 , wherein the at least one processor is further configured to direct the system to perform the operations including:

adjusting the at least one scan parameter until an image generated by the scan performed on the subject based on the adjusted at least one scan parameter satisfies a preset condition.

15 . The system of claim 14 , wherein the at least one processor is further configured to direct the system to perform the operations including:

updating a recommendation model based at least in part on the second parameter set, health information of the subject, and the adjusted at least one scan parameter, the recommendation model being configured to determine the at least one scan parameter for the scan.

16 . The system of claim 1 , wherein the at least one processor is further configured to direct the system to perform the operations including:

obtaining a third parameter set of the subject acquired when the scan is being performed on the subject;

determining a difference between the third parameter set of the subject and the second parameter set of the subject; and

determining whether to update the estimation model based at least in part on the difference.

17 . The system of claim 1 , wherein

the scan is associated with a cardiac angiography,

the physiological motion includes cardiac motion of the subject, and

the first parameter set or the second parameter set relates to a heart rate of the subject.

18 . A method for scan preparation, implemented on a medical device and a computing device including at least one processor and at least one storage device, the method comprising:

obtaining a first parameter set of a subject to be scanned by a medical device acquired before a scan is performed on the subject, the first parameter set relating to a physiological motion of the subject acquired before the scan is performed on the subject, wherein the first parameter set includes at least one of a first parameter sub-set acquired when the subject is not undergoing any scan and a second parameter sub-set acquired when the subject is undergoing a simulated scan;

inputting the first parameter set to an estimation model to output a second parameter set of the subject by the estimation model, the second parameter set relating to the physiological motion of the subject;

automatically determining at least one scan parameter for the scan based at least in part on the second parameter set output by the estimation model, including:

obtaining a recommendation model; and

determining the at least one scan parameter for the scan by inputting the second parameter set into the recommendation model;

performing, by the medical device, the scan on the subject based on the at least one scan parameter; and

generating an image according to the scan.

19 . A non-transitory computer readable medium, comprising executable instructions that, when executed by at least one processor, direct a medical device and the at least one processor to perform a method for scan preparation, the method comprising:

obtaining a first parameter set of a subject to be scanned by a medical device acquired before a scan is performed on the subject, the first parameter set relating to a physiological motion of the subject acquired before the scan is performed on the subject, wherein the first parameter set includes at least one of a first parameter sub-set acquired when the subject is not undergoing any scan and a second parameter sub-set acquired when the subject is undergoing a simulated scan;

inputting the first parameter set to an estimation model to output a second parameter set of the subject by the estimation model, the second parameter set relating to the physiological motion of the subject, the estimation model being a trained machine learning model, the trained machine learning model being trained using a plurality of training samples;

automatically determining at least one scan parameter for the scan based at least in part on the second parameter set output by the estimation model;

performing, by the medical device, the scan on the subject based on the at least one scan parameter; and

generating an image according to the scan.