The present invention provides an imaging probe for imaging mammalian tissues and structures using high resolution imaging, including high frequency ultrasound and optical coherence tomography. The imaging probes structures using high resolution imaging use combined high frequency ultrasound (IVUS) and optical imaging methods such as optical coherence tomography (OCT) and to accurate co-registering of images obtained from ultrasound image signals and optical image signals during scanning a region of interest.

Systems and methods are disclosed that provide for regular, periodic or continuous monitoring of fluid volume based on direct measurement of an inferior vena cava (IVC) physical dimension using a wireless measurement sensor implanted in the IVC. By basing diagnostic decisions and treatments on changes in an IVC physical dimension, information on patient fluid state is available across the entire euvolemic range of fluid states, thus providing earlier warning of hypervolemia or hypovolemia and enabling the modulation of patient treatments to permit more stable long-term fluid management.

Systems and methods are described for splitting DICOM medical image series into framesets. In one implementation, a method of splitting a DICOM medical image series into framesets includes determining that a first DICOM image object of the DICOM medical image series is the first DICOM object of the medical image series and creating a first frame set including the first DICOM image object in response to determining that the first DICOM image object is the first DICOM object of the medical image series. In subsequent steps, the method may include determining that a second DICOM image object of the DICOM medical image series does not have more than one image frame; and determining whether a first predefined DICOM tag of interest of the second DICOM image object matches a first DICOM tag of interest of a first image of the first frameset.

The present invention comprises a novel method to utilize image tracking technology and artificial intelligence to make automatic measurements of the systemic vein lumen diameter and using calculations made to estimate a patient's volume status and cardiac ventricular function. In this technique, an ultrasound machine is used to measure the diameter of the systemic vein lumen and an image processing unit, such as a computing device, endowed with image recognition and tracking technologies through machine-learning, is used to measure the respiratory variation in the lumen diameter and circumference. Artificial intelligence technology is thereafter utilized to identify the maximum and minimum diameters/circumference and various calculations are made using the measured diameters, such as diameter variation percentage which is the difference between the maximum and minimum diameter divided by the maximum diameter and expressed as a percentage. Artificial intelligence is also used to identify whether a complete approximation of the vein diameter into 0 millimeters occurred with deep breathing and/or sniff. The above information is used to estimate the patient's volume and cardiac function status.

Systems and methods for performing ultrasound imaging. Ultrasound information of a subject region in response to ultrasound pulses transmitted toward the subject region can be gathered. The ultrasound information can include reflectivity information and complementary information to the reflectivity information of the subject region in response to the ultrasound pulses. One or more ultrasound images of at least a portion of the subject region can be formed from the reflectivity information. Further, the one or more ultrasound images can be modified based on the complementary information to the reflectivity information to generate one or more enhanced ultrasound images from the one or more ultrasound images.

Ultrasound images are captured and streamed to a consulting physician and reviewed by the physician in real time. In an embodiment, output of an ultrasound machine is sent to a transcoder, which sends the images to a livestreaming service. A live stream of the images is then sent to the physician, who may view the images in real time and provide feedback in real time is desired.

Devices, systems, and methods for controlling an intravascular imaging device are provided. For example, in one embodiment a method includes communicating a control signal to an actuator of the intravascular imaging device to cause oscillation of an imaging element of the intravascular imaging device, wherein the intravascular imaging device further includes an acoustic marker; receiving imaging data from the imaging element of the intravascular imaging device; identifying the acoustic marker in the imaging data by determining a correlation between the imaging data and a template representative of the acoustic marker; adjusting an aspect of the control signal based on identifying the acoustic marker; and communicating the adjusted control signal to the actuator of the intravascular imaging device.

Systems, methods and computer program products are provided for reading and scoring ultrasound and/or optoacoustic (US/OA) images that include at least one of OA images or US images acquired in connection with an examination for a region of interest (ROI). The system displays a first image that has an interior ROI outline separating an internal zone from a boundary zone. In some aspects, feature scores are obtained in connection with at least the boundary zone and peripheral zone of the first image and the feature scores are applied to a classification model to obtain at least one of a prognostic result or predictive result indicative of a trait of the lesion. In accordance with some aspects, an order in which feature scores are entered is automatically managed to obtain for the at least one of the peripheral zone or the boundary zone before the feature score is obtained for the internal zone.

Systems, apparatuses, methods, and non-transitory computer-readable media for mapping a section of a vasculature of a subject are described herein, including moving a probe to a first position at a body of the subject adjacent the section of the vasculature; transmitting, by the probe, a first ultrasound beam into a first portion of the section of the vasculature through the body of the subject; receiving first ultrasound data including at least one imaging parameter of the first portion based on the first ultrasound beam; moving the probe to a second position at the body of the subject adjacent the section of the vasculature and different from the first position; transmitting, by the probe, a second ultrasound beam into a second portion of the section of the vasculature through the body of the subject; receiving second ultrasound data including the at least one imaging parameter of the second portion based on the second ultrasound beam; and constructing a map of the section of the vasculature based on the first ultrasound data and the second ultrasound data.

The present disclosure describes systems and methods for determining if a feature of interest is present in a volume or plane scanned by an imaging system. In examples, one or more imaging planes are analyzed for anatomical landmarks to determine whether a feature of interest is present. If the feature of interest is present, scan parameters may be determined to scan an adjusted volume that includes the feature of interest. In some applications, the adjusted volume may allow the imaging system to increase a volume rate.