A system is for contrast agent-based medical imaging. In an embodiment, the system includes a gantry of a medical imaging device; a contrast agent injection device; and a support arm including a frame element, a first connecting element and a second connecting element. In an embodiment, the frame element is connected to a stationary support frame of the gantry via the first connecting element such that at least part of the frame element is mounted to be movable relative to the stationary support frame of the gantry, and the contrast agent injection device is connected to at least part of the frame element via the second connecting element such that the contrast agent injection device is mounted to be movable relative to at least part of the frame element.

An electronic device for gesture recognition, includes a processor operably connected to a transceiver. The transceiver is configured to transmit and receive signals for measuring range and speed. The processor is configured to transmit the signals, via the transceiver. in response to a determination that a triggering event occurred, the processor is configured to track movement of an object relative to the electronic device within a region of interest based on reflections of the signals received by the transceiver to identify range measurements and speed measurements associated with the object. The processor is also configured to identify features from the reflected signals, based on at least one of the range measurements and the speed measurements. The processor is further configured to identify a gesture based in part on the features from the reflected signals. Additionally, the processor is configured to perform an action indicated by the gesture.

A procedure can be assisted by a processor system, such as a computer system. A trajectory can be used to identify a selected trajectory or path of an instrument to reach a tumor within a brain of a subject, reach a selected portion of the anatomy (e.g. sub-thalamic nucleus (STN) or spinal cord), or other appropriate target. The planning algorithm can include both inputted data and learned rankings or ratings related to selected trajectories. The planning algorithm can used the learned ratings to rate and later determined trajectories.

Systems and methods involving an intraocular implant with input and/or output electronics are described. In some embodiments, the system includes an intraocular lens having at least one optic operably coupled to a haptic, one or more input electronics on the haptic and/or the optic; and one or more output electronics on the haptic and/or the optic for receiving and/or transmitting data.

Systems, methods and apparatus are disclosed for properly using and locating object retention wands via the use of at least one sensor located on or in the wand body for determining when the wand is capable of properly scanning a target area. In one form, a proximity sensor is used. In another form a motion sensor is used. In still other forms, both a proximity sensor and motion sensor are used. In some forms, the wand system further includes an indicator for indicating whether the wand is within proper read range, speed and/or orientation of a target area so as to confirm proper use of the wand to locate retained objects before concluding a procedure. In other forms one or more of a user interface, scanner and network interface may also be used with the system. Further systems, methods and apparatus are also disclosed herein.

Systems and methods described provide dynamic and intelligent ways to change the required level of user interaction during use of a monitoring device. The systems and methods generally relate to real time switching between a first or initial mode of user interaction and a second or new mode of user interaction. In some cases, the switching will be automatic and transparent to the user, and in other cases user notification may occur. The mode switching generally affects the user’s interaction with the device, and not just internal processing. The mode switching may relate to calibration modes, data transmission modes, control modes, or the like.

A system and method for converting medical images of a particular patient into high resolution, 3D dynamic and interactive images interacting with medical tools including medical devices by coupling a model of tissue dynamics and tool characteristics to the patient specific imagery for simulating a medical procedure in an accurate and dynamic manner. The method includes a tool to add and/or to adjust the dynamic image of tissues and ability to draw and add geometric shapes on the dynamic image of tissues. The system imports the 3D surgery plan (craniotomy, head position, approach etc.). The surgeon establishes multiple views, rotates and interacts with the navigation image to see behind pathology and vital structures. The surgeon can make structures such as tumors, vessels and tissue transparent to improve visualization and to be able to see behind the pathology. The System can warn on proximity of tools to specific anatomical structure.

A user input obtainer receives an image movement instruction including identification information specifying a position shift or an image capture time shift to be performed and also including a displacement amount. When the identification information specifies the position shift, a slice position selector determines a tomographic image at a destination of the position shift based on the displacement amount from a set of tomographic images captured at the same time. On the other hand, when the identification information specifies the image capture time shift, the image capture time selector determines a tomographic image at a destination of the shift based on the displacement amount from sets of tomographic images that are identical to each other in terms of a patient, an examination portion, and a modality. A displaying image obtainer reads out the determined tomographic image from an image storage device and gives it to a display information generator.

A method of sealing tissue includes attempting to grasp tissue between first and second jaw members of an end effector assembly of an electrosurgical instrument, attempting to conduct electrosurgical energy between the first and second jaw members, and determining, based on impedance feedback from the electrosurgical energy, whether an error exists. In a case where no error is detected, the method includes implementing a tissue treating algorithm to treat tissue grasped between the first and second jaw members. The tissue treating algorithm includes conducting electrosurgical energy between the first and second jaw members and through tissue grasped therebetween. In a case where an error is detected, the method includes determining, based on additional feedback data, a cause of the error, and outputting an alarm indicating the error and the cause of the error.

In one aspect, a sample collection device for collecting a biological sample is disclosed, which comprises a sample-receiving cup having a body that extends from a proximal opening to a distal opening, where the proximal opening is configured for receiving a biological sample. The sample collection device further includes a sensor comprising at least one sensing unit, where the sensor is sealingly connected to the distal opening of the sample-receiving cup such that the sensing unit is exposed to the distal opening. A reservoir for storing one or more sample-processing reagents is provided in the fluid-receiving cup such that the sensing unit is in fluid contact with the reagent(s) stored in the reservoir. A frangible membrane separates the reservoir from the proximal opening.