Artificial Intelligence System for Determining Drug Use through Medical Imaging
US-2024197287-A1 · Jun 20, 2024 · US
US9968330B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9968330-B2 |
| Application number | US-201414499947-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 29, 2014 |
| Priority date | Mar 30, 2012 |
| Publication date | May 15, 2018 |
| Grant date | May 15, 2018 |
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An ultrasound diagnostic apparatus according to an embodiment includes an image acquirer, a volume information calculator, a wall motion information calculator, a time change rate calculator, an extremum detector, and an index calculator. The image acquirer acquires ultrasonic image data including data for a left ventricle. The volume information calculator calculates time-series data of volume information of the left ventricle. The wall motion information calculator calculates time-series data of wall motion information of the left ventricle. The time change rate calculator calculates time-series data of the time change rate of volume information (first time-series data) and time-series data of the time change rate of wall motion information (second time-series data). The extremum detector detects extremums in early diastole of the first time-series data and the second time-series data (first extremum and second extremum). The index calculator calculates an index using the first extremum and the second extremum.
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What is claimed is: 1. An ultrasound diagnostic apparatus, comprising: a processor configured to: acquire a group of ultrasonic image data generated by ultrasonic scanning on a heart including at least a left ventricle for a period of one or more heart beats; calculate, from the group of the ultrasonic image data, time-series data of volume in a first region of interest in the left ventricle; calculate, from the group of the ultrasonic image data, time-series data of wall motion in a second region of interest in the left ventricle; calculate, from the time-series data of the volume, first time-series data that is time-series data of a time change rate of the volume; and calculate, from the time-series data of the wall motion, second time-series data that is time-series data of a time change rate of the wall motion; detect an extremum in early diastole of the first time-series data as a first extremum; detect an extremum in early diastole of the second time-series data as a second extremum; and calculate an index using the first extremum and the second extremum. 2. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to: acquire a group of three-dimensional ultrasonic image data generated by ultrasonic scanning on a heart including at least the left ventricle for the period of one or more heart beats, calculate the time-series data of the volume from the group of three-dimensional ultrasonic image data, and calculate the time-series data of the wall motion from the group of three-dimensional ultrasonic image data. 3. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to: acquire a group of two-dimensional ultrasonic image data generated by ultrasonic scanning on a predetermined section of a heart including at least the left ventricle for the period of one or more heart beats, calculate, from the group of the two-dimensional ultrasonic image data, the time-series data of the volume in the first region of interest in the left ventricle, and calculate, from the group of the two-dimensional ultrasonic image data, the time-series data of the wall motion in the second region of interest in the left ventricle. 4. The ultrasound diagnostic apparatus according to claim 3 , wherein the processor is further configured to: acquire a plurality of groups of two-dimensional ultrasonic image data corresponding to respective sections as the predetermined section, calculate the time-series data of the volume from the plurality of groups of two-dimensional ultrasonic image data, and calculate the time-series data of the wall motion from the plurality of groups of two-dimensional ultrasonic image data. 5. The ultrasound diagnostic apparatus according to claim 4 , wherein the processor is further configured to calculate time-series data obtained by averaging time-series data of wall motion for each of the plurality of groups of two-dimensional ultrasonic image data as the time-series data of the wall motion. 6. The ultrasound diagnostic apparatus according to claim 4 , wherein the processor is further configured to: calculate a plurality of pieces of time-series data of wall motion corresponding to the plurality of groups of two-dimensional ultrasonic image data, calculate a plurality of pieces of second time-series data from the plurality of pieces of time-series data of the wall motion, and calculate an average of extremums in early diastole detected in each of the pieces of second time-series data as the second extremum. 7. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to estimate a time phase of the early diastole in the first time-series data using a time phase in which the volume is minimum to detect the first extremum. 8. The ultrasound diagnostic apparatus according to claim 7 , wherein the processor is further configured to estimate a time phase of the early diastole in the second time-series data using a time phase in which the first extremum has been detected to detect the second extremum. 9. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to perform calculation processing of the volume using a result of tracking a position of the first region of interest by pattern matching between pieces of image data. 10. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to perform calculation processing of the wall motion using a result of tracking a position of the second region of interest by pattern matching between pieces of image data. 11. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to perform calculation processing of the volume using results of detecting a position of an inner cavity boundary as the first region of interest. 12. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to perform calculation processing of the wall motion using results of detecting a position of an inner cavity boundary as the second region of interest. 13. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to calculate at least one of strain and an area change ratio of a myocardium as the wall motion. 14. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to calculate at least displacement as the wall motion. 15. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to calculate wall motion of the entire left ventricle as the wall motion in the second region of interest. 16. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to calculate wall motion of a valve ring of a left ventricle as the wall motion in the second region of interest. 17. The ultrasound diagnostic apparatus according to claim 1 , wherein the processor is further configured to calculate at least one of a left ventricular ejection fraction and a cardiac mass from the time-series data of the volume. 18. The ultrasound diagnostic apparatus according to claim 1 , wherein the index is indicative of a pressure of the left ventricle. 19. An image processing apparatus, comprising: a processor configured to: acquire a group of ultrasonic image data generated by ultrasonic scanning on a heart including at least a left ventricle for the period of one or more heart beats; calculate, from the group of the ultrasonic image data, time-series data of volume in a first region of interest in the left ventricle; calculate, from the group of the ultrasonic image data, time-series data of wall motion in a second region of interest in the left ventricle; calculate, from the time-series data of the volume, first time-series data that is time-series data of a time change rate of the volume; calculate, from the time series data of the wall motion, second time-series data that is time-series data of a time change rate of the wall motion; detect an extremum in early diastole of the first time-series data as a first extremum; detect an extremum in early diastole of the second time-series data as a second extremum; and calculate an index using the first extremum and the second extremum. 20. The image processing apparatus according to claim 19 , wherein the index is indicative of a pressure of the left ventr
involving measuring strain or elastic properties · CPC title
involving the acquisition of a 3D volume of data · CPC title
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for diagnosis of the heart · CPC title
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