Provided is a cardiovascular disease risk analysis system and method considering sleep apnea factors to analyze a cardiovascular disease risk of sleep apnea patients.

A transmitting element for generating a magnetic field for tracking of an object includes a first spiral trace that extends from a first outer origin inward to a central origin in a first direction. A second spiral trace can extend from the central origin outward to a second outer origin in the first direction. The second spiral trace can extend from the central origin to the second outer origin in the first direction. The first spiral trace and the second spiral trace can be physically connected at the central origin to form the fluorolucent magnetic transmitting element and at least a portion of the first spiral trace overlaps at least a portion of the second spiral trace.

Disclosed are methods of radioisotope infusion comprising infusing saline comprising a diagnostic dose of a radioisotope, and delivering a pre-measured volume of push saline. The disclosed methods confer improved image quality with low background noise, higher signal to noise ratio (SNR) and higher contrast to noise ratio (CNR), leading to better diagnosis and thus eliminating the need of repeating the infusion and imaging which in turn reduces exposure of a patient to radiation.

A method by which a left atrial wall thickness measurement device for the heart measures the left atrial wall thickness of the heart, according to one embodiment of the present invention, can simply, quickly, and accurately measure the thickness of the left atrium of the heart with only a simple input of a user so as to also derive the optimum effect of a radiofrequency catheter ablation procedure, and measures the thickness of the left atrium of the heart by using, without a separate additional inspection, computed tomography, which is relatively inexpensive and is performed for most patients with arrhythmia, thereby minimizing the financial burden on a patient.

A computer system identifies a medical condition in a patient. A trained machine learning image generator is used to generate a set of training images based on three-dimensional patient imaging data, wherein each training image is labeled with a projection angle of the corresponding two-dimensional projection. Using the set of training images, a machine learning image classifier model is trained to identify patient rotation angles in x-ray images. X-ray images are processed with the machine learning image classifier model to identify patient rotation angles. A machine learning medical condition classifier model is trained to identify a medical condition using the labeled x-ray images. The machine learning medical condition classifier model determines an indication of the medical condition in a patient's x-ray image. Embodiments of the present invention further include a method and program product for identifying a medical condition in a patient in substantially the same manner described above.

An electronic device includes a processor configured to generate a position movement prediction field indicating prediction of a potential positional change of a branch path by a patient's biological activity for one or more branch paths based on a blood vessel image of a reference frame, correct guidewire information extracted from a blood vessel image of a target frame with respect to a catheter position of the reference frame, and select a branch path to dispose the guidewire information, among one or more branch paths of a blood vessel region based on the position movement prediction field and the corrected guidewire information; and a display configured to visualize the guidewire information on the selected branch path.

In a system for the administration of a group of imaging devices which are equipped with a corresponding device hosts, device software and a configuration protocol are executably stored on the device host. The system can include a distributed database system which configured to receive configuration protocols from the device host and to store modified configuration protocols for the respective device host, and to distribute modified configuration protocols. The received and/or stored configuration protocols are made available via a central write access. The system can include an administrator having a memory, a user interface and a processor for communicating with the distributed database system. Configuration protocols can be modified via the user interface and sent to the distributed database system for storage and/or distribution to at least one selected imaging device. These aspects are also applicable to a method for the administration of imaging devices.

An interlocking system for a joystick in a catheter procedure system includes a joystick configured to generate a first voltage output signal based on a linear activation of the joystick and a second voltage output signal based on a rotational activation of the joystick. A joystick cover is disposed over the joystick and includes an upper portion having an electrode plating on an inner surface of the upper portion and a lower portion having an inner surface. A capacitive touch detection circuit is coupled to the electrode plating of the upper portion of the joystick cover and is mounted on the inner surface of the lower portion of the joystick cover. The capacitive touch detection circuit is configured to detect a proximal change in capacitance in the electrode plating of the upper portion of the joystick cover and to generate a touch output signal to indicate whether a change in capacitance has been detected. A signal enable circuit is coupled to the joystick and the capacitive touch detection circuit and is configured to generate a linear enable voltage output signal and a rotational enable voltage output signal based on whether a change in capacitance has been detected.

A method includes scanning a region of interest, during a contrast agent based perfusion scan, at a predetermined temporal sampling rate during contrast agent uptake in the region of interest, and generating time frame data indicative of the scanned region of interest. The method further includes identifying a predetermined change in an amount of the contrast agent in the region of interest from the time frame data. The method further includes scanning the region of interest at a lower temporal sampling rate, which is lower than the temporal sampling rate during the contrast agent uptake, in response to identifying the predetermined change in the amount of the contrast agent in the region of interest.

In valve modeling from medical scan data, chordae are modeled as a dense structure. Rather than attempting to provide the same number of chordae (e.g., 25) as found in a human valve, hundreds or thousands of chordae connectors are used. Since solving for lengths of so many chordae may be computationally intensive, the lengths of only a few are solved, and the lengths of the rest of the chordae are derived from the lengths of the few.