Ultrasound diagnostic apparatus and method for controlling the same
Provided is an ultrasound diagnostic apparatus including a probe configured to transmit an ultrasound signal to an object and receive an ultrasound echo signal reflected from the object, a display module, an input device, a storage, and a controller configured to obtain a plurality of color doppler image frames based on processing of the echo signal, store the plurality of color doppler image frames in the storage, and control the display module to sequentially display the plurality of color doppler image frames, wherein the controller is configured to determine a recommended color doppler image frame based on color mapping information of the plurality of color doppler image frames in response to receiving an image freeze command through the input device, and control the display module to display the recommended color doppler image frame as a freeze image.
1. An ultrasound diagnostic apparatus comprising:
a probe configured to transmit ultrasound signals to an object and receive ultrasound echo signals reflected from the object;
a display module;
an input device;
a storage; and
a controller configured to:
obtain color doppler signals based on processing of the echo signals,
obtain a plurality of color doppler image frames each having a color-mapped area based on the color doppler signals,
store the plurality of color doppler image frames in the storage, and control the display module to sequentially display the plurality of color doppler image frames,
wherein the controller is further configured to:
in response to receiving an image freeze command through the input device, determine a recommended color doppler image frame from the plurality of color doppler image frames based on a color mapping value corresponding to a size of the color-mapped area in each of the plurality of color doppler image frames,
control the display module to display the recommended color doppler image frame as a freeze image, determine the recommended color doppler image frame among a reference number of color doppler image frames obtained before or after receiving the image freeze command, and
determine one of the reference number of color doppler image frames which has a highest color mapping value as the recommended color doppler image frame.
2. The ultrasound diagnostic apparatus of claim 1 , wherein the controller is configured to train a machine learning model trained with the plurality of color doppler image frames and the recommended color doppler image frame as input values.
3. The ultrasound diagnostic apparatus of claim 2 , wherein the controller is configured to determine the recommended color doppler image frame based on an output value of the trained machine learning model.
4. The ultrasound diagnostic apparatus of claim 1 , wherein the controller is configured to, based on the recommended color doppler image being in the plural, display a recommended color doppler image closest to a time when the image freeze command is received on the display module.
5. A method of controlling an ultrasound diagnostic apparatus including a probe for transmitting ultrasound signals to an object and receiving ultrasound echo signals reflected from the object, a display module, an input device, and a storage, the method comprising:
obtaining color doppler signals based on processing of the echo signals;
obtaining a plurality of color doppler image frames each having a color-mapped area based on the color doppler signals;
storing the plurality of color doppler image frames in the storage;
sequentially displaying the plurality of color doppler image frames on the display module;
in response to receiving an image freeze command through the input device, determining a recommended color doppler image frame from the plurality of color doppler image frames based on a color mapping value corresponding to a size of the color-mapped area in each of the plurality of color doppler image frames; and
controlling the display module to display the recommended color doppler image frame as a freeze image,
wherein the determining of the recommended color doppler image frame comprises:
determining the recommended color doppler image frame among a reference number of color doppler image frames obtained before or after receiving the image freeze command; and
determining one of the reference number of color doppler image frames which has a highest color mapping value as the recommended color doppler image frame.
6. The method of claim 5 , further comprising:
obtaining a machine learning model trained with the plurality of color doppler image frames and the recommended color doppler image frame as input values.
7. The method of claim 6 , wherein the determining of the recommended color doppler image frame comprises determining the recommended color doppler image frame based on an output value of the trained machine learning model.
8. The method of claim 5 , further comprising:
based on the recommended color doppler image being in the plural, displaying a recommended color doppler image closest to a time when the image freeze command is received on the display module.