Patent Description:
In CT scanning, a doctor, as a CT device operator, sets a corresponding scanning program according to a patient as a scanned person. Therefore, the doctor needs to determine an identity of the patient before CT scanning. Currently, with a large number of received patients, the doctor under long-term high load work cannot accurately determine the identity of the scanned person due to the lack of concentration, resulting in that the scanning program does not correspond to the patient.

<CIT> relates to systems and methods for monitoring a patient by positioning the patient for a predetermined medical mission and sensing biometric and physical conditions of a patient during the mission, and displaying a multimedia interaction with the patient to keep the patient in a predetermined position to improve efficacy of a medical mission.

<CIT> discloses a system for supporting a medical measure, comprising a medical device designed to carry out a medical measure, characterized by a human-machine interface which is designed to communicate with a person, in particular to communicate with a patient. Moreover, a sensor system with at least one sensor for detecting at least one personal parameter is disclosed as well as an evaluation unit, in which a computer program is implemented, which is designed to autonomously generate at least one piece of personal information based on artificial intelligence as a function of the at least one personal parameter, which can be output to the person for carrying out the medical measure by means of the medical device via the human-machine interface.

<CIT> discloses a medical cabin. The medical cabin comprises a CT scanning chamber, a CT control chamber and a sample treatment chamber, wherein a CT scanning device is arranged in the CT scanning chamber. A CT operating host is arranged in the CT control chamber and can control the CT scanning device to scan a scanned object and the sample treatment chamber comprises a nucleic acid collection chamber, a nucleic acid detection chamber or a nucleic acid collection and detection chamber. The medical cabin has CT examination and sample treatment functions at the same time, has good maneuvering performance and can conveniently and rapidly complete equipment deployment, and therefore pathogenic bacteria (such as <NUM>-nCoV) infected people can be found and confirmed intime.

Exemplary aspects and embodiments are described in the following to illustrate the invention. The objective of the present invention is to provide a method for assisting in determining an identity of a scanned person in CT scanning, which can assist an operator in determining an identity of a scanned person.

Another objective of the present invention is to provide a system for assisting in determining an identity of a scanned person in CT scanning, which can assist an operator in determining an identity of a scanned person.

Another objective of the present invention is to provide a CT scanner, which can assist an operator in determining an identity of a scanned person.

The present invention provides a method for assisting in determining an identity of a scanned person in CT scanning, including:.

In the method for assisting in determining an identity of a scanned person in CT scanning, a facial image of the scanned person can be analyzed by using a facial recognition algorithm before a scanning program is started, and voice question and answer is performed with the scanned person by using natural language processing technology. It is determined, based on two independent manners, whether the identity of the scanned person is a match. If either of the determining results is mismatching, a reminder of determining the identity of the scanned person is sent to an operator, which ensures the accuracy of the determining results. The method for assisting in determining an identity of a scanned person in CT scanning can reduce the work intensity of the operator, increase work efficiency, prevent the occurrence of a false scan, and avoid diagnosis delay.

In another schematic implementation of the method for assisting in determining an identity of a scanned person in CT scanning, the collecting facial image information of the scanned person after the scanned person is positioned, and determining whether the scanned person is a match based on the identity information of the scanned person by using a facial recognition algorithm specifically includes:.

In another schematic implementation of the method for assisting in determining an identity of a scanned person in CT scanning, the convolutional neural network model includes three processing units and two fully connected layers that are connected in series, each of the processing units includes a convolutional layer, an activation layer and a pooling layer, and the last one of the fully connected layers can output the facial feature information.

In another schematic implementation of the method for assisting in determining an identity of a scanned person in CT scanning, the performing a voice dialogue with the scanned person based on the identity information of the scanned person by using natural language processing technology after the scanned person is positioned, and determining whether the scanned person is a match specifically includes:.

In another schematic implementation of the method for assisting in determining an identity of a scanned person in CT scanning, the voice dialogue module includes a voice synthesis unit, a voice recognition unit, and a natural language processing unit. The voice synthesis unit is configured to convert the question information from a text information format into an audio information format. The voice recognition unit is configured to receive the answer voice in an audio information format, and convert the answer voice into the answer information a text information format. The natural language processing unit is configured to analyze the identity information of the scanned person and transmit the question information to the voice synthesis unit, and the natural language processing unit is further configured to receive the answer information from the voice recognition unit, extract the voice feature information and compare the voice feature information with the identity information of the scanned person after analysis, and determine whether the scanned person is a match according to a comparison result.

In another schematic implementation of the method for assisting in determining an identity of a scanned person in CT scanning, the identity information of the scanned person includes a name, gender, and age.

The present invention further provides a system for assisting in determining an identity of a scanned person in CT scanning, including a camera, a vision hardware platform, a speaker, a microphone, a voice hardware platform, and a reminder device. The camera is configured to collect facial image information of a scanned person after the scanned person is positioned. The vision hardware platform is built with a convolutional neural network model, where the vision hardware platform is configured to receive the identity information of the scanned person and the facial image information, and extract facial feature information corresponding to the identity information of the scanned person in the facial image information through the convolutional neural network model; and the vision hardware platform is configured to compare the facial feature information with the identity information of the scanned person, and generate an image mismatch signal in a case of mismatching. The speaker is configured to receive a sound signal and play a voice. The microphone is configured to receive a voice and convert the voice into a sound signal. The voice hardware platform is built with a voice dialogue module, where the voice dialogue module is configured to receive the identity information of the scanned person, and convert question information corresponding to the identity information of the scanned person into a sound signal and transmit the sound signal to the speaker; the voice hardware platform is further configured to receive, through the microphone, a sound signal answered by the scanned person and extract voice feature information corresponding to the identity information of the scanned person; and the voice hardware platform is configured to compare the voice feature information with the identity information of the scanned person, and generate a voice mismatch signal in a case of mismatching. The reminder device is configured to remind an operator when the image mismatch signal and the voice mismatch signal are received.

In another schematic implementation of the system for assisting in determining an identity of a scanned person in CT scanning, the convolutional neural network model includes three processing units and two fully connected layers that are connected in series. Each of the processing units includes a convolutional layer, an activation layer and a pooling layer, and the last one of the fully connected layers can output the facial feature information.

In another schematic implementation of the system for assisting in determining an identity of a scanned person in CT scanning, the voice dialogue module includes a voice synthesis unit, a voice recognition unit, and a natural language processing unit. The voice synthesis unit is configured to convert the question information from a text information format into an audio information format. The voice recognition unit is configured to receive the answer voice in an audio information format, and convert the answer voice into the answer information a text information format. The natural language processing unit is configured to analyze the identity information of the scanned person and transmit the question information to the voice synthesis unit, and the natural language processing unit is further configured to receive the answer information from the voice recognition unit, extract the voice feature information and compare the voice feature information with the identity information of the scanned person after analysis, and determine whether the scanned person is a match according to a comparison result. The system for assisting in determining an identity of a scanned person in CT scanning can reduce the work intensity of the operator, increase work efficiency, prevent the occurrence of a false scan, and avoid diagnosis delay.

In another schematic implementation of the system for assisting in determining an identity of a scanned person in CT scanning, the vision hardware platform and the voice hardware platform each may be a computer, a cloud server or a device with a system on a chip (SOC).

In another schematic implementation of the system for assisting in determining an identity of a scanned person in CT scanning, the vision hardware platform and the voice hardware platform are a processor unit of a CT scanner.

In another schematic implementation of the system for assisting in determining an identity of a scanned person in CT scanning, the reminder device includes a processor unit and an operation display screen of a CT scanner.

The present invention further provides a CT scanner, including the foregoing system for assisting in determining an identity of a scanned person in CT scanning. The CT scanner can reduce the work intensity of the operator, increase work efficiency, prevent the occurrence of a false scan, and avoid diagnosis delay.

The following accompany drawings are only used for schematically describing and explaining the present invention, and do not constitute an inappropriate limitation on the present invention.

To understand the technical features, objectives, and effects of the present invention more clearly, a description on specific implementations of the present invention is made now with reference to accompanying drawings. Same signs in each drawing refer to components with same structures or components with similar structures and same functions.

In this specification, "schematic" indicates "serving as an example, a case, or description", and any illustration or implementation described as "schematic" in this specification should not be interpreted as a more preferred or more advantageous technical solution.

For brevity of the accompanying drawings, only parts related to the present invention are schematically shown in the accompanying drawings, and do not represent an actual structure as a product.

<FIG> is a flowchart of a schematic implementation of a method for assisting in determining an identity of a scanned person in CT scanning. Referring to <FIG>, the method for assisting in determining an identity of a scanned person in CT scanning includes the following steps:.

<FIG> is a structural diagram of a schematic implementation of a voice dialogue module. Referring to <FIG>, the voice dialogue module <NUM> includes a voice synthesis unit <NUM>, a voice recognition unit <NUM>, and a natural language processing unit <NUM>. The voice synthesis unit <NUM> is configured to convert question information from a text information format into an audio information format. The voice recognition unit <NUM> is configured to receive an answer voice in an audio information format, and convert the answer voice into answer information in a text information format. The natural language processing unit <NUM> is developed based on natural language processing (NLP) technology, and is configured to analyze the identity information of the scanned person and transmit the question information to the voice synthesis unit <NUM>. The natural language processing unit <NUM> is further configured to receive the answer information from the voice recognition unit <NUM>, extract the voice feature information and compare the voice feature information with the identity information of the scanned person after analysis, and determine whether the scanned person is a match according to a comparison result.

S32: The voice dialogue module <NUM> analyzes the identity information of the scanned person and generates corresponding question information. Specifically, the identity information of the scanned person is analyzed by the natural language processing unit <NUM> and the question information is transmitted to the voice synthesis unit <NUM>. The question information includes, but is not limited to, a question about the name, gender and age of the scanned person.

S33: The voice dialogue module <NUM> plays the question information to the scanned person through a speaker <NUM>. Specifically, the voice synthesis unit <NUM> converts the question information in the text information format into the question information in the audio information format and transmits the question information in the audio information format to the speaker <NUM> to generate sounds.

S34: The voice dialogue module <NUM> collects an answer voice of the scanned person through a microphone <NUM> and converts the answer voice into answer information. After hearing a question, the scanned person answers the question, and the voice is collected by the microphone <NUM>. The voice recognition unit <NUM> receives the answer voice in the audio information format from the microphone <NUM> and converts the answer voice in the audio information format into the answer information in the text information format.

S35: The voice dialogue module <NUM> extracts voice feature information corresponding to the identity information of the scanned person in the answer information according to preset logic. Since the scanned person gives an answer through a natural language which is not standardized, after receiving the answer information from the voice recognition unit <NUM>, the natural language processing unit <NUM> needs to analyze the answer information with reference to a local or cloud logic reasoning library to extract the voice feature information that accurately expresses the name, gender and age.

S36: The voice dialogue module <NUM> compares the voice feature information with the identity information of the scanned person, and determines whether the scanned person is a match according to a comparison result. Specifically, the voice feature information is compared with the identity information of the scanned person by the natural language processing unit <NUM>, and whether the scanned person is a match is determined according to the comparison result.

S40: If either of determining results of the above determining is mismatching, send a reminder of determining the identity of the scanned person to an operator. If both determining results of the above determining are matching, the scan is started.

In the method for assisting in determining an identity of a scanned person in CT scanning provided by the present invention, a facial image of the scanned person can be analyzed by using a facial recognition algorithm before a scanning program is started, and voice question and answer is performed with the scanned person by using natural language processing technology. It is determined, based on two independent manners, whether the identity of the scanned person is a match. If either of the determining results is mismatching, a reminder of determining the identity of the scanned person is sent to an operator, which ensures the accuracy of the determining results. The method for assisting in determining an identity of a scanned person in CT scanning can reduce the work intensity of the operator, increase work efficiency, prevent the occurrence of a false scan, and avoid diagnosis delay.

The present invention further provides a system for assisting in determining an identity of a scanned person in CT scanning. <FIG> is a structural diagram of a schematic implementation of a system for assisting in determining an identity of a scanned person in CT scanning. Referring to <FIG>, the system for assisting in determining an identity of a scanned person in CT scanning includes a camera <NUM>, a vision hardware platform, a speaker <NUM>, a microphone <NUM>, a voice hardware platform, and a reminder device.

The camera <NUM> is configured to collect facial image information of a scanned person after the scanned person is positioned. The vision hardware platform may be a computer, a cloud server, or a device with a SOC system. The vision hardware platform is built with a convolutional neural network model <NUM>. The vision hardware platform is configured to receive the identity information of the scanned person and the facial image information P1, and extract facial feature information P2 corresponding to the identity information of the scanned person in the facial image information P1 through the convolutional neural network model <NUM>; and the vision hardware platform is configured to compare the facial feature information P2 with the identity information of the scanned person, and generate an image mismatch signal in a case of mismatching.

In a schematic implementation, referring to <FIG> and <FIG>, the convolutional neural network model <NUM> includes three processing units <NUM> and two fully connected layers <NUM> that are connected in series. Each of the processing units <NUM> includes a convolutional layer <NUM>, an activation layer <NUM>, and a pooling layer <NUM>. A first convolutional layer <NUM> is used for inputting the facial image information P1 and extracting some low-level features, such as an edge, a line, and a corner. Three convolutional layers <NUM> iteratively extract more complicated features from the low-level features. The activation layer <NUM> performs nonlinear mapping on the result of the convolutional layer <NUM> to avoid a lack of expressive power of a linear model. The pooling layer <NUM> compresses an input feature map to make the feature map smaller and simplify the complexity of network computing. The fully connected layers <NUM> connect and classify all features. The last one of the fully connected layers <NUM> can input the facial feature information P2, and the facial feature information P2 includes, but not limited to, gender and age.

The speaker <NUM> is configured to receive a sound signal and play a voice. The microphone <NUM> is configured to receive a voice and convert the voice into a sound signal. The voice hardware platform may be a computer, a cloud server, or a device with a SOC system. The voice hardware platform is built with a voice dialogue module <NUM>. The voice dialogue module is configured to receive the identity information of the scanned person, and convert question information corresponding to the identity information of the scanned person into a sound signal and transmit the sound signal to the speaker <NUM>. The voice hardware platform is further configured to receive, through the microphone <NUM>, a sound signal answered by the scanned person and extract voice feature information corresponding to the identity information of the scanned person. The voice hardware platform is configured to compare the voice feature information with the identity information of the scanned person, and generate a voice mismatch signal in a case of mismatching.

In a schematic implementation, referring to <FIG>, the voice dialogue module <NUM> includes a voice synthesis unit <NUM>, a voice recognition unit <NUM>, and a natural language processing unit <NUM>. The voice synthesis unit <NUM> is configured to convert question information from a text information format into an audio information format. The voice recognition unit <NUM> is configured to receive an answer voice in an audio information format, and convert the answer voice into answer information in a text information format. The natural language processing unit <NUM> is developed based on natural language processing (NLP) technology, and is configured to analyze the identity information of the scanned person and transmit the question information to the voice synthesis unit <NUM>. The natural language processing unit <NUM> is further configured to receive the answer information from the voice recognition unit <NUM>, extract the voice feature information and compare the voice feature information with the identity information of the scanned person after analysis, and determine whether the scanned person is a match according to a comparison result.

In a schematic implementation, the vision hardware platform and the voice hardware platform are a processor unit <NUM> of a CT scanner. The reminder device includes a processor unit <NUM> and an operation display screen <NUM> of a CT scanner. The processor unit <NUM> of the CT scanner can display a pop-up window to remind the operator through the operation display screen <NUM> when either of the image mismatch signal and the voice mismatch signal is generated. However, this is not limited herein. In other schematic implementations, the reminder device may also remind the operator in other manners, such as issuing a sound reminder through the speaker or issuing a light reminder through an LED light.

In the system for assisting in determining an identity of a scanned person in CT scanning provided by the present invention, a facial image of the scanned person can be analyzed by using a facial recognition algorithm before a scanning program is started, and voice question and answer is performed with the scanned person by using natural language processing technology. It is determined, based on two independent manners, whether the identity of the scanned person is a match. If either of the determining results is mismatching, a reminder of determining the identity of the scanned person is sent to an operator, which ensures the accuracy of the determining results. The above system for assisting in determining an identity of a scanned person in CT scanning can reduce the work intensity of the operator, increase work efficiency, prevent the occurrence of a false scan, and avoid diagnosis delay.

The present invention further provides a CT scanner, including the above system for assisting in determining an identity of a scanned person in CT scanning. The CT scanner can reduce the work intensity of the operator, increase work efficiency, prevent the occurrence of a false scan, and avoid diagnosis delay.

It should be understood that, although this specification is described according to each embodiment, each embodiment may not include only one independent technical solution. The description manner of this specification is merely for clarity. This specification should be considered as a whole by a person skilled in the art, and the technical solution in each embodiment may also be properly combined, to form other implementations that can be understood by the person skilled in the art.

Claim 1:
A method for assisting in determining an identity of a scanned person in computed tomography (CT) scanning, comprising:
obtaining identity information of a scanned person;
collecting facial image information of the scanned person after the scanned person is positioned, and determining whether the scanned person is a match based on the identity information of the scanned person by using a facial recognition algorithm; characterized by the method further comprising:
performing a voice dialogue with the scanned person based on the identity information of the scanned person by using natural language processing technology after the scanned person is positioned, and determining whether the scanned person is a match; and
if either of determining results of the above determining is mismatching, sending a reminder of determining an identity of the scanned person to an operator; and if both determining results of the above determining are matching, starting a scan.