Ultrasonic diagnosis apparatus, automatic support apparatus, and automatic support method
View Patent ↗According to one embodiment, an ultrasonic diagnosis apparatus includes a storage unit, a ultrasonic probe, a transmission/reception unit, a measured value calculation unit, a distance calculation unit, and a determination unit. The storage unit stores data of a state space based on a first measured values of a measurement item associated with an able-bodied person. The transmission/reception unit transmits ultrasonic waves to a subject via an ultrasonic probe, and generates reception signals corresponding to an ultrasonic waves reflected by the subject. The measured value calculation unit calculates a second measured value of the measurement item associated with the subject based on the reception signals. The distance calculation unit calculates a Mahalanobis distance of the subject based on the state space and the second measured value. The determination unit compares the Mahalanobis distance with a threshold to determine whether the subject has the disease evaluated by the measurement item.
1. An ultrasonic diagnosis apparatus, comprising:
a storage unit configured to store data of a state space based on a first measured value of a measurement item associated with an able-bodied person;
an ultrasonic probe;
a transmission/reception unit configured to transmit an ultrasonic wave to a subject via the ultrasonic probe, receive an ultrasonic wave reflected by the subject, and generate a reception signal corresponding to the received ultrasonic wave;
a measured value calculation unit configured to calculate a second measured value of the measurement item associated with the subject based on the reception signal;
a distance calculation unit configured to calculate a Mahalanobis distance of the subject based on the state space and the second measured value;
a determination unit configured to compare the Mahalanobis distance with a threshold to determine whether the subject has a disease evaluated by the measurement item; and
a disease type discrimination unit configured to discriminate a type of the disease by calculating a similarity between a distribution of second measured values of the subject measured by the measured value calculation unit and a measured value distribution model for each of a plurality of types of diseases.
2. The apparatus according to claim 1 , wherein the measurement item is a cardiac measurement item including at least one of a measurement item based on automatic Doppler measurement and a measurement item based on differential/integral analysis on a Doppler trace waveform.
3. The apparatus according to claim 2 , further comprising a Doppler processing unit configured to generate a Doppler signal originating from a blood flow in the subject based on the reception signal, wherein
the measured value calculation unit calculates the second measured value of the cardiac measurement item based on the generated Doppler signal,
the distance calculation unit calculates the Mahalanobis distance of the subject based on the state space and the second measured value of the cardiac measurement item, and
the determination unit compares the Mahalanobis distance with the threshold to determine whether the subject has a cardiac disease.
4. The apparatus according to claim 3 , wherein the state space is generated based on the first measured value and a waveform feature amount of an electrocardiographic complex associated with the able-bodied person,
the distance calculation unit calculates the Mahalanobis distance of the subject based on the state space, the second measured value, and the waveform feature amount of the electrocardiographic complex associated with the subject, and
the determination unit compares the Mahalanobis distance with a threshold to determine whether the subject has a cardiac disease.
5. The apparatus according to claim 1 , wherein the measurement item is a liver measurement item including an image feature amount of a liver region included in an ultrasonic image.
6. The apparatus according to claim 5 , which further comprises an image generating unit configured to generate data of an ultrasonic image associated with the liver of the subject based on the reception signal, and in which
the measured value calculation unit calculates a second measured value of the liver measurement item based on the ultrasonic image,
the distance calculation unit calculates a Mahalanobis distance of the subject based on the state space and the second measured value of the liver measurement item, and
the determination unit compares the Mahalanobis distance with the threshold to determine whether the subject has a liver disease.
7. The apparatus according to claim 6 , wherein the state space is generated based on the first measured value and a measured value obtained by liver function examination based on blood analysis associated with the able-bodied person,
the distance calculation unit calculates a Mahalanobis distance of the subject based on the state space, the second measured value, and the measured value obtained by the liver function examination based on the blood analysis associated with the subject, and
the determination unit compares the Mahalanobis distance with the threshold to determine whether the subject has a liver disease.
8. The apparatus according to claim 1 , wherein the measurement item includes a Down's syndrome measurement item associated with an NT of a cervical region on an ultrasonic image.
9. The apparatus according to claim 8 , which further comprises an image generating unit configured to generate data of an ultrasonic image associated with the cervical region of the subject based on the reception signal, and in which
the measured value calculation unit calculates a second measured value of the Down's syndrome measurement item based on the cervical region included in the ultrasonic image,
the distance calculation unit calculates a Mahalanobis distance of the subject based on the state space and the second measured value of the Down's syndrome measurement item, and
the determination unit compares the Mahalanobis distance with the threshold to determine whether the subject has Down's syndrome.
10. The apparatus according to claim 9 , wherein the state space is generated based on at least one of the first measured value, a measured value obtained by amniocentesis associated with the able-bodied person, and a measured value obtained by maternal blood serum screening associated with the able-bodied person,
the distance calculation unit calculates a Mahalanobis distance of the subject based on at least one the state space, the second measured value, the measured value obtained by amniocentesis associated with the subject, and the measured value obtained by maternal blood serum screening associated with the subject, and
the determination unit compares the Mahalanobis distance with the threshold to determine whether the subject has Down's syndrome.
11. The apparatus according to claim 1 , further comprising a display configured to display a determination result obtained by the determination unit.
12. The apparatus according to claim 1 , further comprising a display configured to display a result of a trend analysis.
13. The apparatus according to claim 1 , wherein the threshold is set to a Mahalanobis distance located at a boundary between a Mahalanobis distance of the able-bodied person and a Mahalanobis distance of a disable-bodied person.
14. An automatic support apparatus, comprising:
a first storage unit configured to store data of a state space based on a first measured value of a measurement item associated with an able-bodied person;
a second storage unit configured to store data of a second measured value of the measurement item associated with a subject;
a distance calculation unit configured to calculate a Mahalanobis distance of the subject based on the state space and the second measured value;
a determination unit configured to compare the Mahalanobis distance with a threshold to determine whether the subject has a disease evaluated by the measurement item; and
a disease type discrimination unit configured to discriminate a type of the disease by calculating a similarity between a distribution of second measured values of the subject and a measured value distribution model for each of a plurality of types of diseases.
15. An automatic support method, comprising:
scanning a subject with an ultrasonic wave via an ultrasonic probe;
calculating a measured value of an ultrasonic measurement item associated with the subject based on a reception signal from the ultrasonic probe;
calculating a Mahalanobis distance of the subject based on the calculated measured value and a state space based on the measured value of the measurement item associated with an able-bodied person;
comparing the calculated Mahalanobis distance with a threshold to determine whether the subject has a disease evaluated by the measurement item; and
discriminating a type of the disease by calculating a similarity between a distribution of measured values of the subject and a measured value distribution model for each of a plurality of types of diseases.