Abstract: Processing is optimized for specific sources or conditions for physiological waveforms. For example, parameters are optimized for processing different human and non-human physiological waveforms. Filter cutoff frequencies, amplitude thresholds, delay time periods and/or other parameters for trigger detection and/or waveform generation are optimized. The optimization may be performed using a single user input, such as switching between different physiological cycle processes in response to one-touch by a user. For example, the system switches between a human ECG trigger detection process and associated parameters and a rodent ECG trigger detection process and associated parameters with the touch of a button. Switching between different types of human physiological cycle processes, such as processes for normal and abnormal functioning, is alternatively or additionally provided. More inclusive settings may be used for automatically identifying a characteristic of a physiological cycle waveform.

Abstract: The gain for multiple mode imaging and/or contrast agent imaging is automatically adjusted. The gain algorithm separately determines gain parameters for two different types of imaging, such as tissue and contrast agent imaging. The gain based on the contrast agent image may be optimized to provide maximum sensitivity, such as by mapping noise values measured prior to injection of contrast agent to low values within the dynamic range or somewhat below the display dynamic range. The automatic gain based on the contrast agent image may be free of variance calculations. One of the two gain parameters is selected as the system gain, or the two gain parameters are combined to form the system gain. The presence of contrast agents within the image may be determined, and different gain parameters used based on the presence or absence of contrast agents. Various ones or combinations of the gain adjustments summarized above may be used.

Abstract: The gain for multiple mode imaging and/or contrast agent imaging is automatically adjusted. The gain algorithm separately determines gain parameters for two different types of imaging, such as tissue and contrast agent imaging. The gain based on the contrast agent image may be optimized to provide maximum sensitivity, such as by mapping noise values measured prior to injection of contrast agent to low values within the dynamic range or somewhat below the display dynamic range. The automatic gain based on the contrast agent image may be free of variance calculations. One of the two gain parameters is selected as the system gain, or the two gain parameters are combined to form the system gain. The presence of contrast agents within the image may be determined, and different gain parameters used based on the presence or absence of contrast agents. Various ones or combinations of the gain adjustments summarized above may be used.