A method includes receiving an image and classifying the image using a machine learning engine. The machine learning engine is trained using a training image that is labeled with a label associated with a three-dimensional volume responsive to image metrics for the training image satisfying respective thresholds. The image metrics include a first image metric based on the training image and a projection of the three-dimensional volume, and a second image metric based on pixel intensity values associated with the training image.

A medical instrument coordination system and method for automated surgical guidance using body-worn camera devices are described. A system may include an automated body-worn camera device configured to identify and track medical instruments, surgical supplies, and treatment apparatus within a surgical field through object recognition and automated monitoring capabilities. The system may provide cross-device communication to coordinate multiple treatment devices, enabling transmission of surgical guidance information to external displays and networked medical instruments. The body-worn camera device may provide auditory feedback mechanisms for procedural alerts and instrument identification guidance. The system may present automated analysis of surgical procedures, such as automated detection of surgical step completion and real-time monitoring of medical instrument usage. The medical instrument coordination system may facilitate surgical procedure guidance while enabling visualization of surgical fields and treatment areas through integrated diagnostic equipment and surgical assistance technologies.

A computer-implemented method for reconstructing three-dimensional or four-dimensional X-ray image data includes receiving a first group of two-dimensional X-ray images that each depict at least part of a relevant segment of a vascular system of a patient. A three-dimensional relevant region of the patient that includes the relevant segment (4) of the vascular system of the patient is automatically determined by processing the X-ray images from the first group by an analysis algorithm. The three-dimensional or four-dimensional X-ray image data is reconstructed based on the first group of the two-dimensional X-ray images and/or a received second group of X-ray images of the patient such that all voxels of the X-ray image data are located inside the determined relevant region.

Systems and methods involving a control and processing system interfaceable with a device, a tracking system, and a data storage device, the control and processing system having a processor configured by a set of instructions storable in relation to a nontransient memory device to: identify the at least one device, via the tracking system operating with at least one of an electromagnetic system and a radiofrequency (RF) system, during a medical procedure; obtain an image of a region of interest associated with the medical procedure; process the image to identify a context measure associated with a current state of the medical procedure; obtain a parameter for adaptively configuring the device during the medical procedure, the parameter customizable based on the context measure, the parameter providable for the device according to a prioritized list, and the device reverting to a default configuration when another device is removed from the region of interest; and configure the device according to the parameter.

A computer-implemented method for medical measurement reconstruction may comprise: receiving a measurement acquisition signal; based on the received measurement acquisition signal, creating a plurality of representations of the measurement acquisition signal, wherein each of the plurality of representations relates to a different aspect of the measurement acquisition signal; modifying one or more of the plurality of representations; and generating an output signal including the modified one or more of the plurality of representations.

Embodiments of the present invention relates to an X-ray contrast agent. The X-ray contrast agent has an X-ray absorption the change of which between at least two different X-ray photon energy levels differs from the change in X-ray absorption of calcium between the at least two different X-ray photon energy level. Embodiments of the present invention also relates to an X-ray imaging method. Embodiments of the present invention additionally relates to an image reconstruction device. Embodiments of the present invention further relates to an X-ray imaging system.

A computer-implemented method includes obtaining an image of one or more anatomical vessels of a subject, wherein the image is a segmentation of the one or more anatomical vessels from image data acquired with a three-dimensional medical imaging modality. The computer-implemented method further includes obtaining one or more segmentations of plaque in the one or more anatomical vessels of the subject. The computer-implemented method further includes obtaining Fractional Flow Reserve (FFR) information for the one or more anatomical vessels of the subject. The computer-implemented method further includes generating a composite rendering that includes the image of one or more anatomical vessels, at least one of the one or more segmentations of plaque, and the FFR information. The computer-implemented method further includes displaying the composite rendering in a single viewport.

A method performed by a computing system comprises receiving a fluoroscopic image of a patient anatomy while a portion of a medical instrument is positioned within the patient anatomy. The fluoroscopic image has a fluoroscopic frame of reference. The portion has a sensed position in an anatomic model frame of reference. The method further comprises identifying the portion in the fluoroscopic image and identifying an extracted position of the portion in the fluoroscopic frame of reference using the identified portion in the fluoroscopic image. The method further comprises registering the fluoroscopic frame of reference to the anatomic model frame of reference based on the sensed position of the portion and the extracted position of the portion.

A method performed by a computing system comprises receiving a fluoroscopic image of a patient anatomy while a portion of a medical instrument is positioned within the patient anatomy. The fluoroscopic image has a fluoroscopic frame of reference. The portion has a sensed position in an anatomic model frame of reference. The method further comprises identifying the portion in the fluoroscopic image and identifying an extracted position of the portion in the fluoroscopic frame of reference using the identified portion in the fluoroscopic image. The method further comprises registering the fluoroscopic frame of reference to the anatomic model frame of reference based on the sensed position of the portion and the extracted position of the portion.

An imaging system may comprise a first rectangular boundary array of a first plurality of ultrasonic transducers, a second rectangular boundary array of a second plurality of ultrasonic transducers positioned within the first rectangular boundary array, and a controller coupled to the first rectangular boundary array and the second rectangular boundary array. A method for image reconstruction may comprise determining whether to deliver energy to a first rectangular boundary array of a first plurality of ultrasonic transducers, or a second rectangular boundary array of a second plurality of ultrasonic transducers, the second rectangular boundary array being positioned within the first rectangular boundary array. The method may comprise determining an amount of energy to be delivered to the first plurality of ultrasonic transducers or the second plurality of ultrasonic transducers, and delivering the amount of energy to the first plurality of ultrasonic transducers or the second plurality of ultrasonic transducers.