US 11,911,221 B2
Ultrasound diagnostic apparatus, control method of ultrasound diagnostic apparatus, and computer-readable recording medium storing control program of ultrasound diagnostic apparatus
Yoshihiro Takeda, Tokyo (JP)
Assigned to KONICA MINOLTA, INC., Tokyo (JP)
Filed by Konica Minolta, Inc., Tokyo (JP)
Filed on May 6, 2022, as Appl. No. 17/662,328.
Claims priority of application No. 2021-083083 (JP), filed on May 17, 2021.
Prior Publication US 2022/0361850 A1, Nov. 17, 2022
Int. Cl. A61B 8/08 (2006.01); A61B 8/06 (2006.01); A61B 8/00 (2006.01)
CPC A61B 8/5223 (2013.01) [A61B 8/06 (2013.01); A61B 8/54 (2013.01)] 14 Claims
OG exemplary drawing
 
1. An ultrasound diagnostic apparatus that transmits ultrasound toward an inside of a specimen and receives a reflection wave therefrom to generate a blood flow image of the specimen, the ultrasound diagnostic apparatus comprising a hardware processor configured to:
calculate a plurality of eigenvectors by performing principal component analysis on a time-series reflection wave data group in a predetermined region in the specimen obtained at execution of a color flow mode;
calculate a principal frequency component of a time direction represented by the plurality of eigenvectors by performing frequency analyzation on each of the plurality of eigenvectors, the principal frequency component of the each of the plurality of eigenvectors is an average frequency of time variation of an observation object position represented by the each of the plurality of eigenvectors;
determine a reduction rate of each of the plurality of eigenvectors on a basis of the principal frequency component of each of the plurality of eigenvectors and a clutter component reduction condition that defines a reference frequency for reduction of a clutter component;
calculate a filter coefficient for reduction of the clutter component on a basis of the plurality of eigenvectors, and the reduction rate corresponding to each of the plurality of eigenvectors; and
generate blood flow image data by applying the filter coefficient to the time-series reflection wave data group.