Ultrasound diagnostic apparatus, image processing apparatus, and method
A diagnostic device, ultrasonic technology, applied in the direction of acoustic wave diagnosis, infrasonic wave diagnosis, image data processing, etc., can solve the problem that it is difficult to effectively suppress the degradation of image quality
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no. 1 Embodiment approach
[0023] First, the configuration of the ultrasonic diagnostic apparatus according to the present embodiment will be described. figure 1 It is a diagram for explaining the configuration of the ultrasonic diagnostic apparatus 100 according to the first embodiment. Such as figure 1 As shown, the ultrasonic diagnostic apparatus 100 according to the first embodiment includes an ultrasonic probe 1 , a display 2 , an input device 3 , and an apparatus main body 10 .
[0024] The ultrasonic probe 1 has a plurality of piezoelectric vibrators, and these piezoelectric vibrators generate ultrasonic waves based on drive signals supplied from a transmission and reception unit 11 included in an apparatus main body 10 described later. In addition, the ultrasonic probe 1 receives reflected waves from the subject P and converts them into electrical signals. In addition, the ultrasonic probe 1 has a matching layer provided on the piezoelectric vibrator, a backing material that prevents ultrasoni...
no. 2 Embodiment approach
[0080] In the above-mentioned first embodiment, the case where Fourier transform is performed on the waveform to determine whether or not the image quality has deteriorated has been described. In the second embodiment, a case where it is determined whether or not the image quality has deteriorated based on the distribution of luminance values will be described. In addition, compared with the ultrasonic diagnostic apparatus 100 according to the first embodiment, the ultrasonic diagnostic apparatus according to the second embodiment has only image 3 The processing content of the detection unit 173 shown is different. The following description will focus on this.
[0081] The detection unit 173 according to the second embodiment determines that the image quality of the drawn image has deteriorated when the distribution of the luminance values of the linearly acquired luminance information is within a predetermined range. Specifically, the detection unit 173 generates a his...
no. 3 Embodiment approach
[0091] In the above-mentioned first and second embodiments, for generating the rotated rendered image, the luminance information on the generated rendered image is linearly sampled, and the deterioration of the image quality is determined based on the sampled luminance information. explained. In the third embodiment, a description will be given of a case in which image quality degradation is predicted based on conditions of rendering after rotation.
[0092] Figure 9 It is a figure which shows an example of the structure of the control part 17 which concerns on 3rd Embodiment. Such as Figure 9 As shown, the control unit 17 according to the third embodiment newly includes the image quality prediction unit 174 . The image quality prediction unit 174 predicts whether or not the image quality of the rendered image is degraded based on the conditions of the volume rendering performed by the rendering control unit 172 . Specifically, based on the prediction information stored ...
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