Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

New and innovative systems and methods for auto-navigation in an integrated surgical navigation and visualization system are disclosed. An example system comprises: a single cart providing motility; a stereoscopic digital surgical microscope comprising a surgical visualization camera and a localizer; one or more computing devices (e.g., a single computing device powered by a single power connection) housing and jointly executing a surgical navigation module and a surgical visualization module, wherein the localizer is associated with the surgical navigation module, and wherein the surgical visualization camera is associated with the surgical visualization module; a single unified display; a processor; and memory. The system may generate a transformation of patient data associated with a patient to the surgical visualization camera; calibrate the surgical visualization camera and the localizer; provide visualization of the surgical site via the single unified display; and provide navigation of the surgical site responsive to user input.

Systems and methods are provided for computed tomography (CT) imaging. In one embodiment, a method comprises adaptively blending at least two input image volumes with different spatially-variant noise characteristics to generate an output image volume with uniform noise throughout the output image volume. In this way, images may be reconstructed from projection data with data redundancy without introducing image artifacts from stitching images or variance in image noise due to the data redundancy.

An X-ray diagnostic apparatus according to an embodiment includes an X-ray tube, an X-ray detector, image generating circuitry, and processing circuitry. The X-ray tube generates an X-ray. The X-ray detector is positioned in a manner facing the X-ray tube, and detects the X-ray. The image generating circuitry generates an X-ray image one after another, based on an output of the X-ray detector. The processing circuitry identifies an inserted object inside a subject in the X-ray image, by performing an image recognition process to the X-ray image. The processing circuitry sets the area to be searched for a marker, based on the inserted object identified in the X-ray image. The processing circuitry detects the marker in the X-ray image, by searching the area to be searched for the marker.

A method of tracking motion of a body part, the method comprising: (a) gathering motion data from a body part repositioned within a range of motion, the body part having mounted thereto a motion sensor; (b) gathering a plurality of radiographic images taken of the body part while the body part is in different positions within the range of motion, the plurality of radiographic images having the body part and the motion sensor within a field of view; and, (c) constructing a virtual three dimensional model of the body part from the plurality of radiographic images using a structure of the motion sensor identifiable within at least two of the plurality of radiographic images to calibrate the radiographic images.

Methods for identifying a disease state in a patient and/or for treating a patient having the identified disease state are disclosed and can be based on characteristics identified through machine learning models such as deep learning convolutional neural networks and that are associated with video recordings, audio recordings, infrared images, photographs, and/or radiologic patient images.

A three-dimensional model for a patient fixation device that serves to immobilize at least a portion of a particular patient when capturing CT image information of that patient is accessed and then registered with the pixels that correspond to the patient fixation device in the CT image. The model can specify rules of movement for each of a plurality of structural elements that comprise the patient fixation device and that are capable of movement relative to one another. By one approach the aforementioned registration occurs on a part-by-part basis for each of the structural elements. Following registration, the CT image can be automatically segmented.

According to one embodiment, a medical image diagnostic apparatus includes a storage memory, processing circuitry, and a display. The storage memory stores data of a plurality of FFR distribution maps constituting a time series regarding a coronary artery, and data of a plurality of morphological images corresponding to the time series. The processing circuitry converts the plurality of FFR distribution maps into a plurality of corresponding color maps, respectively. The display displays a plurality of superposed images obtained by superposing the plurality of color maps and the plurality of morphological images respectively corresponding in phase to the plurality of color maps. The display restricts display targets for the plurality of color maps based on the plurality of FFR distribution maps or the plurality of morphological images.

Methods and systems are provided for a medical imaging system having a detector array. In one example, the detector array may include a plurality of adjustable imaging detectors, each of the plurality of adjustable imaging detectors including a detector unit, each detector unit having a plurality of rows of detector modules, wherein the plurality of adjustable imaging detectors may be arranged on an annular gantry, the annular gantry configured for rotation about an axis of a cylindrical aperture of the annular gantry, the axis extending a length of the cylindrical aperture, and wherein each of the plurality of adjustable imaging detectors may be disposed within the cylindrical aperture and may extend orthogonally toward the axis.

An imaging system that is configured to automatically obtain and provide two and three-dimensional digital images of various types of objects (e.g., tissue specimens, animals, electrical devices, etc.) for use in analysis thereof in a manner free of manual repositioning of the objects between images and free of movement of an electromagnetic radiation source and detector within or relative to a cabinet housing of the system.