摘要:
Automated image interpretation is provided with transducer position and/or orientation sensing. The current position of a transducer is used to determine the anatomy being imaged. Other reference information, such as (1) the previous position of the transducer and the known anatomy being imaged at that time or (2) a reference device at a known location, is used in the determination. The anatomy is determined based on position sensing or determined based on position sensing and other anatomy features, such as image analysis.
摘要:
A medical diagnostic ultrasonic imaging system analyzes receive signals generated by the system to adaptively set the interline delay and/or the transmit power to optimize frame rate while reducing or eliminating the wraparound artifact associated with transmit events that are too closely spaced in time for currently prevailing imaging conditions.
摘要:
Tissue information is equalized by adaptively controlling gain and mapping input data to output data based on the gain in three-dimensional medical diagnostic imaging. A hypersurface is fit in three spatial dimensions to tissue information in input data. The hypersurface is used to adjust the gain so that input values are mapped to output values with more uniform soft tissue levels.
摘要:
Methods and systems are provided for automatic optimization for ultrasound medical imaging. In one approach, velocity values are unwrapped to avoid aliasing artifacts. Multi-dimensional phase unwrapping is applied to the velocity data. The unwrapped velocity information is used to optimize one or both of the velocity scale (e.g., pulse repetition frequency) and the imaging frequency. For optimizing the scale setting, the distribution of unwrapped velocities from a systolic time period of the heart cycle are used to identify the pulse repetition frequency. For optimizing the imaging frequency, a correlation as a function of depth shows the penetration depth for a given imaging frequency. In a dependent or independent approach, one or more thresholds for velocity or energy in flow imaging are adaptively selected as a function of an amount of clutter. Velocity or other energy information in addition to the clutter information may be used for selecting the thresholds. In yet another dependent or independent approach, displacement of an imaging plane or other change is detected and used to trigger an automatic update of an imaging parameter for a same or different mode.
摘要:
Disclosed are an apparatus and method of adjusting gain of an ultrasound system 100. In particular, subject matter is disclosed for receiving an indication 102 of a rate of change in motion of an object 106, and adjusting a gain based 108, at least in part, on said rate of change in motion, where the gain is adjusted at least partially corresponding to the rate of change in motion of the object 106.
摘要:
Methods and systems are provided for automatic optimization for ultrasound medical imaging. In one approach, velocity values are unwrapped to avoid aliasing artifacts. Multi-dimensional phase unwrapping is applied to the velocity data. The unwrapped velocity information is used to optimize one or both of the velocity scale (e.g., pulse repetition frequency) and the imaging frequency. For optimizing the scale setting, the distribution of unwrapped velocities from a systolic time period of the heart cycle are used to identify the pulse repetition frequency. For optimizing the imaging frequency, a correlation as a function of depth shows the penetration depth for a given imaging frequency. In a dependent or independent approach, one or more thresholds for velocity or energy in flow imaging are adaptively selected as a function of an amount of clutter. Velocity or other energy information in addition to the clutter information may be used for selecting the thresholds. In yet another dependent or independent approach, displacement of an imaging plane or other change is detected and used to trigger an automatic update of an imaging parameter for a same or different mode.
摘要:
Disclosed are a system and method of selecting one or more operational parameters of an ultrasonic imaging system. In particular, methods and means are disclosed for automatically or semi-automatically determining a best operating frequency, or for determining whether a system should operate in a fundamental imaging mode or a harmonic imaging mode.
摘要:
Medical image processing is adaptively optimized in response to selective types of changes or motion. Adaptive optimization is applied in response to limited types of motion or at a controlled time. For example, one type of change, such as change due to heart motion or breathing motion, is distinguished from a different type of change, such as change due to repositioning of an imaging plane within a patient. Imaging parameters are adaptively optimized in response to changes of one type independent of or with minimized contribution from changes of the different type. For example, change due to repositioning of the image plane is detected while accounting for heart motion or breathing motion. Imaging parameters are adaptively optimized once the change due to anatomical motion is removed or accounted for and after detecting a change in an imaging plane position. Any of various adaptive optimizations may be responsive to the identification of one type of change from another type of change.
摘要:
An SNR-adaptive method for processing a plurality of post-detection medical diagnostic ultrasonic images determines a cross-correlation parameter from corresponding multi-dimensional regions of first and second post-detection ultrasonic images, and then uses the cross-correlation parameter to suppress electronic noise in ultrasonic image processing. In some cases the multi-dimensional region of the first and second images are registered prior to cross-correlation to compensate for relative movement between the transducer and the imaged tissue between the first and second images.
摘要:
A medical ultrasonic imaging system uses an adaptive multi-dimensional back-end mapping stage to eliminate loss of information in the back-end, minimize any back-end quantization noise, reduce or eliminate electronic noise, and map the local average of soft tissue to a target display value throughout the image. The system uses spatial variance to identify regions of the image corresponding substantially to soft tissue and a noise frame acquired with the transmitters turned off to determine the mean system noise level. The system then uses the mean noise level and the identified regions of soft tissue to both locally and adaptively set various back-end mapping stages, including the gain and dynamic range.