Color flow gain adjustment method and device
AssigneeShenzhen Mindray Bio-Medical Electronics Co., Ltd.
InventorsYan Wang, Xiangzuo Zheng, Yonggiang Dong
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Abstract
A color flow gain adjustment method and device, and a color ultrasound imaging system using the device are disclosed.
Claims20
A color flow gain adjustment method, comprising:
- storing ultrasound image data within a preset time;
- calculating an abnormal pixel point ratio in a selected area of the stored ultrasound image data using one of three algorithms;
- and
- adjusting color gain based on a result of comparing the abnormal pixel point ratio and a preset threshold;
- wherein a first of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the total number of pixel points in the selected area,
- wherein a second of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the difference between the total number of pixel points in the selected area and the total number of normal pixel points in the selected area, and
- wherein a third of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the total number of normal pixel points in the selected area.
A color flow gain adjustment device, comprising:
- a storage module for storing ultrasound image data within a preset time;
- a logic module for calculating an abnormal pixel point ratio in a selected area of the stored ultrasound image data using one of three algorithms;
- and
- an adjustment module for adjusting color gain based on a result of comparing the abnormal pixel point ratio and a preset threshold;
- wherein a first of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the total number of pixel points in the selected area,
- wherein a second of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the difference between the total number of pixel points in the selected area and the total number of normal pixel points in the selected area, and
- wherein a third of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the total number of normal pixel points in the selected area.
A color ultrasound imaging system, comprising a transducer and a signal processing device, wherein the transducer is for transmitting an ultrasonic signal and receiving an ultrasonic echo signal and the signal processing device is for performing signal processing on the ultrasonic echo signal received by the transducer to acquire ultrasound image data, the system further comprising a color flow gain adjustment device including:
- a storage module for storing ultrasound image data within a preset time;
- a logic module for calculating an abnormal pixel point ratio in a selected area of the stored ultrasound image data using one of three algorithms;
- and
- an adjustment module for adjusting color gain based on a result of comparing the abnormal pixel point ratio and a preset threshold;
- wherein a first of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the total number of pixel points in the selected area,
- wherein a second of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the difference between the total number of pixel points in the selected area and the total number of normal pixel points in the selected area, and
- wherein a third of the three algorithms comprises calculating the abnormal pixel point ratio based on the total number of abnormal pixel points in the selected area divided by the total number of normal pixel.
Dependencies are inferred from the claim text.