System for non-invasive measuring of an intracranial reserve space (ICRS) parameter of a mammalian subject, comprising a multi-frequency ultrasound probe configured, beginning at a start time, to emit and receive ultrasound waves into and from the subject's head and to produce a signal of brain tissue pulsation; an instrument configured to non-invasively partially occlude an internal jugular vein (IJV) starting at the start time and including a second ultrasound probe producing a second signal; and a computer system configured to receive the signal, the second signal and the start time, the computer system also configured, using one or more processors, to derive from the signal an intracranial brain tissue pulsation waveform and from the second signal images of the IJV, and to determine a length of time from the start time to a subsequent time at which the waveform is sufficiently compressed so as to exhibit a predefined decline in variability.

The present disclosure provides systems and methods for predicting a disease state of a subject using ultrasound imaging and ancillary information to the ultrasound imaging. At least two quantitative measurements of a subject, including at least one measurement taken using ultrasound imaging, as part of quantified information can be identified. One of the quantitative measurements can be compared to a first predetermined standard, included as part of ancillary information to the quantified information, in order to identify a first initial value. Further, another of the quantitative measurements can be compared to a second predetermined standard, included as part of the ancillary information, in order to identify a second initial value. Subsequently, the quantitative information can be correlated with the ancillary information using the first initial value and the second initial value to determine a final value that is predictive of a disease state of the subject.

The present disclosure provides systems and methods for predicting a disease state of a subject using ultrasound imaging and ancillary information to the ultrasound imaging. At least two quantitative measurements of a subject, including at least one measurement taken using ultrasound imaging, as part of quantified information can be identified. One of the quantitative measurements can be compared to a first predetermined standard, included as part of ancillary information to the quantified information, in order to identify a first initial value. Further, another of the quantitative measurements can be compared to a second predetermined standard, included as part of the ancillary information, in order to identify a second initial value. Subsequently, the quantitative information can be correlated with the ancillary information using the first initial value and the second initial value to determine a final value that is predictive of a disease state of the subject.

The present disclosure provides systems and methods for predicting a disease state of a subject using ultrasound imaging. The method includes identifying at least one quantitative measurement of a subject using ultrasound imaging, the at least one quantitative measurement included as part of quantitative information of the subject gathered based on the ultrasound imaging, comparing the at least one quantitative measurement to a first predetermined standard to determine a first initial value, the first predetermined standard falling within a first range of quantities, identifying at least one qualitative measurement of the subject using the ultrasound imaging, the at least one qualitative measurement included as part of qualitative information of the subject gathered based on the ultrasound imaging, comparing the at least one qualitative measurement to a second predetermined standard to determine a second initial value, the second predetermined standard falling within a second range of quantities; and correlating at least the quantitative information and the qualitative information using the first initial value and the second initial value to determine a final value that is used in predicting a disease state of the subject.

The present disclosure provides systems and methods for predicting a disease state of a subject using ultrasound imaging. The method includes identifying at least one quantitative measurement of a subject using ultrasound imaging, the at least one quantitative measurement included as part of quantitative information of the subject gathered based on the ultrasound imaging, comparing the at least one quantitative measurement to a first predetermined standard to determine a first initial value, the first predetermined standard falling within a first range of quantities, identifying at least one qualitative measurement of the subject using the ultrasound imaging, the at least one qualitative measurement included as part of qualitative information of the subject gathered based on the ultrasound imaging, comparing the at least one qualitative measurement to a second predetermined standard to determine a second initial value, the second predetermined standard falling within a second range of quantities; and correlating at least the quantitative information and the qualitative information using the first initial value and the second initial value to determine a final value that is used in predicting a disease state of the subject.

Systems and methods for multi-modality (MMI) imaging of a specimen (136) are disclosed. A specimen may be imaged with a first modality at a first plurality of imaging angles and imaged with a second modality at a second plurality of imaging angles. The first modality may be associated with a different x-ray dose than the second modality. Additionally, one or more angles of the first plurality of imaging angles may be different from the second plurality of imaging angles. Image data obtained from imaging with each modality is used to compile reconstructed images of the specimen. A portion of the reconstructed images that includes a micro-calcification may be reconstructed based on image data from the modality associated with a higher dose.

An ultrasound diagnostic apparatus including an ultrasound probe which outputs transmission ultrasound corresponding to a drive signal, which receives reflected ultrasound from the subject and which outputs a received signal according to the reflected ultrasound; a drive signal outputter which outputs the drive signal to the ultrasound probe; a hardware processor which controls the drive signal outputter to output a first drive signal having a first drive waveform and a second drive signal having a second drive waveform that is different from the first drive waveform; a received signal generator which generates a first received signal based on the reflected ultrasound corresponding to the transmission ultrasound that is output based on the first drive signal and a second received signal based on the reflected ultrasound corresponding to the transmission ultrasound that is output based on the second drive signal; and an extractor which extracts by arithmetic of the first received signal and the second received signal a received signal component which to be used in imaging. Frequency spectrums of the first drive signal and the second drive signal have a first intensity peak on a low frequency side of a center frequency of the transmission frequency, a second intensity peak on a high frequency side of the center frequency and a third intensity peak at a frequency between a frequency corresponding to the first intensity peak and a frequency corresponding to the second intensity peak, in a frequency band included in a transmission frequency band at −20 dB of the ultrasound probe.

An ultrasound diagnostic apparatus including an ultrasound probe which outputs transmission ultrasound corresponding to a drive signal, which receives reflected ultrasound from the subject and which outputs a received signal according to the reflected ultrasound; a drive signal outputter which outputs the drive signal to the ultrasound probe; a hardware processor which controls the drive signal outputter to output a first drive signal having a first drive waveform and a second drive signal having a second drive waveform that is different from the first drive waveform; a received signal generator which generates a first received signal based on the reflected ultrasound corresponding to the transmission ultrasound that is output based on the first drive signal and a second received signal based on the reflected ultrasound corresponding to the transmission ultrasound that is output based on the second drive signal; and an extractor which extracts by arithmetic of the first received signal and the second received signal a received signal component which to be used in imaging. Frequency spectrums of the first drive signal and the second drive signal have a first intensity peak on a low frequency side of a center frequency of the transmission frequency, a second intensity peak on a high frequency side of the center frequency and a third intensity peak at a frequency between a frequency corresponding to the first intensity peak and a frequency corresponding to the second intensity peak, in a frequency band included in a transmission frequency band at −20 dB of the ultrasound probe.

A controller (250) for differentiating passive ultrasound sensors for interventional medical procedures includes a memory (291) and a processor (292). When executed by the processor (292), instructions from the memory (291) cause a system (200) that includes the controller (250) to implement a process that includes receiving first signals from a first passive ultrasound sensor (S1) and receiving second signals from a second passive ultrasound sensor (S2). The first signals and second signals are generated by the passive ultrasound sensors responsive to beams emitted from an ultrasound imaging probe (210). The process also includes identifying a characteristic of the first signals and the second signals. The characteristic includes shapes of the first signals and the second signals and/or times at which the first signals and the second signals are generated as the beams from the ultrasound imaging probe are received. The first passive ultrasound sensor (S1) and the second passive ultrasound sensor (S2) are differentiated based on the characteristic.

A controller (250) for differentiating passive ultrasound sensors for interventional medical procedures includes a memory (291) and a processor (292). When executed by the processor (292), instructions from the memory (291) cause a system (200) that includes the controller (250) to implement a process that includes receiving first signals from a first passive ultrasound sensor (S1) and receiving second signals from a second passive ultrasound sensor (S2). The first signals and second signals are generated by the passive ultrasound sensors responsive to beams emitted from an ultrasound imaging probe (210). The process also includes identifying a characteristic of the first signals and the second signals. The characteristic includes shapes of the first signals and the second signals and/or times at which the first signals and the second signals are generated as the beams from the ultrasound imaging probe are received. The first passive ultrasound sensor (S1) and the second passive ultrasound sensor (S2) are differentiated based on the characteristic.