A system may transform sensor data from a sensor domain to an image domain using data-driven manifold learning techniques which may, for example, be implemented using neural networks. The sensor data may be generated by an image sensor, which may be part of an imaging system. Fully connected layers of a neural network in the system may be applied to the sensor data to apply an activation function to the sensor data. The activation function may be a hyperbolic tangent activation function. Convolutional layers may then be applied that convolve the output of the fully connected layers for high level feature extraction. An output layer may be applied to the output of the convolutional layers to deconvolve the output and produce image data in the image domain.

The present disclosure provides a tissue density analysis system. The system includes an acquisition module configured to obtain image data and tissue density distribution data; a display module configured to display the obtained tissue density distribution data in one or more charts; a processing module configured to adjust the tissue density distribution data displayed in the one or more charts; and a storage module configured to store the image data, the tissue density distribution data and an instruction.

Described herein are systems, devices, and methods for aiding a user to scroll through or otherwise manipulate a stack of medical and tissue images. A system as described herein may comprise: a foot controller, configured to detect one or more of vertical and horizontal motion of a user’s foot to control image navigation, review, positioning, and viewing, functions; a computer; and a user interface.

A hand-held probe for measuring radiation or magnetic activity includes a probe having a handle having a longitudinal axis and a shaft portion adapted to be inserted or held above a radiation or magnetic emitting source implanted within a patient's body or tissue of interest, the shaft portion includes a radiation or magnetic activity sensor configured to detect and measure radiation emitted from the radiation emitting source or magnetic activity from a magnetic source; the radiation emitting source being an implanted seed or a radioisotope that is injected near a tumor site in the patient's body; the probe including a signal processing device for further processing the measured radiation or magnetic activity; and a communication medium to exchange data from the hand-held probe with an external data processor unit.

A radiation image display apparatus that constitutes a radiation imaging system includes a displayer and a hardware processor that acquires image data of a dynamic image constituted of a plurality of frame images, image data of an analysis dynamic image obtained by applying predetermined image processing to the image data of the dynamic image and image data of a related dynamic image which is related to the dynamic image or the analysis dynamic image respectively, and causes the displayer to display the related dynamic image together with the dynamic image and the analysis dynamic image.

Systems and methods for high-bandwidth, minimally invasive brain-computer interfaces (BCIs) are disclosed. The BCIs are configured for deployment and operation in conjunction with a comprehensive interventional electrophysiology procedural suite. Three primary methods of minimally invasive electrode array delivery are disclosed: (1) cortical surface delivery, (2) ventricular delivery, and (3) endovascular delivery. Additionally, systems and methods for interacting with such high-bandwidth electrode arrays are discussed, including real-time imaging, signal processing, and neural decoding. Systems and methods for architectures for accelerating the underlying computational processes (such as graphics processing units or tensor processing units) are also discussed. Multiple applications of BCIs are discussed, with emphasis on restoration, rehabilitation, and augmentation of neurologic function.

A radiographic imaging system includes a radiographic detector having a scanning device to obtain patient identifying information. The detector is programmed to display the patient identifying information in human readable form and to access additional information about the patient stored in networked databases.

Embodiments discussed herein facilitate generation of a prognosis for recurrence or non-recurrence of atrial fibrillation (AF) after pulmonary vein isolation (PVI). A first set of embodiments discussed herein relates to training of a machine learning classifier to determine a prognosis for AF after PVI based on radiographic images, alone or in combination with clinical features. A second set of embodiments discussed herein relates to determination of a prognosis for a patient for AF after PVI based on radiographic images, alone or in combination with clinical features.

A biometric information display apparatus (30) for displaying a measurement result obtained by measuring a biometric signal, includes a maximum value calculation unit (63) configured to calculate a maximum value of the measurement result in a certain period of time for at least one of blocks into which a measurement area, in which the biometric signal is measured, is divided, a determination unit (64) configured to determine whether a measurement value in the at least one of blocks is greater than or equal to a threshold value obtained by multiplying the maximum value by a fractional value, the fractional value being determined in advance, and a display control unit configured to display, in response to an occurrence of an event in which the measurement value is determined to be greater than or equal to the threshold value, the measurement result in such a manner as to indicate the occurrence of the event.

An intraoperative ultrasound imaging system and method capable of using ultrasound imaging to safely place a surgical access instrument (e.g. guide wire, dilator, cannula, etc.) through a tissue (e.g., muscle, fat, brain, liver, lung, etc.) without damaging nearby neurovascular structure is described herein. The intraoperative ultrasound system includes an ultrasound probe assembly configured for emitting and receiving ultrasound waves and a computer system including a processor and a display unit. Once the probe is in position, ultrasound imaging is performed wherein the computer receives RF data from the probe and causes a B-mode image of the visible anatomical structures (e.g. muscle, bone, etc.) to be displayed on the display unit.