A transport system with curved track pair is constructed for multiple pulsed X-ray source-in-motion to perform fast digital tomosynthesis imaging. It includes a curved rigid track pair with predetermined curvature, a primary motor stage car loaded with X-ray sources and wheels loaded with tension or compression springs. The car is driven by primary motor mounted at base frame and an engaged gear mounted at the car. The car can carry heavy loads, travel with high precision and high repeatability at all installation orientations while motion vibration is minimal. It is also scalable to have a larger radius. Track angle span usually can be from about ten degrees to about 170 degrees. During imaging acquisition, X-ray sources can sweep precisely from one location to another. The car has enough clearance to move in its path without rubbing wheels on tracks. Better than 0.2 mm overall spatial precision can be achieved with the digital tomosynthesis imaging.

A C-Arm X-ray imaging system using multiple pulsed X-ray sources in motion to perform efficient and ultrafast 3D radiography is presented. X-ray sources mounted on a structure in motion to form an array. X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Each individual source can also move rapidly around its static position in a small distance. When a source has a speed that is equal to group speed but with opposite moving direction, the source at one C-arm end and X-ray flat panel detector at other C-arm end are activated through an external exposure control unit so that source stay momentarily standstill. The C-arm provides 3D X-ray scan imaging over a wide sweep angle and in different position by rotation. The X-ray image can be analyzed by an artificial intelligence module for real-time diagnosis.

An X-ray imaging system with multiple pulsed X-ray source tubes in motion to perform highly efficient and ultrafast 3D radiography is presented. There are multiple X-ray tubes from pulsed sources mounted on a structure in motion to form an array of X-ray tubes. The tubes move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Each individual X-ray tube in each individual source can also move rapidly around its static position in a small distance. When a tube has a speed that is equal to group speed but with opposite moving direction, the tube and X-ray flat panel detector are activated through an external exposure control unit so that the tube stay momentarily standstill. It results in much reduced travel distance for each X-ray source tube and much lighter load for motion system. 3D X-ray scan can cover much wider sweeping angle in much shorter time and image analysis can also be done in real time.

An X-ray tomosynthesis imaging system using multiple pulsed X-ray source pairs in-motion to perform highly efficient and ultrafast 3D radiography is presented. Sources are mounted on a structure in motion to form pairs. The sources move simultaneously on a predefined arc trajectory at a constant speed as a group. In one pair, each individual source also moves rapidly around its static position in a small distance, but one moves in opposite direction to the other to cancel out momentum. When one source has a speed that is equal to group speed but with opposite direction, the source and X-ray detector are activated through an external exposure trigger. This allows the source to stay relatively standstill during activation. It results in much reduced travel distance for individual source. 3D data can be acquired with wider sweep angle in shorter time and image analysis is real-time. Heavy duty source can be used.

System and method are disclosed for imaging acquisition from sparse partial scans of distributed wide angle. During real time image reconstruction, artificial intelligence (AI) determines if there is enough information to perform diagnostics based on initial scans. If there is enough information from the fractional scans, then data acquisition stops; if more information is needed, then system performs another round of wide-angle sparse scans in a new location progressively until a result is satisfactory. The system reduces X-ray dose on a patient and performs quicker X-ray scan at multiple pulsed source-in-motion tomosynthesis imaging system. The method and system also significantly reduce the amount of time required to display high quality three-dimensional tomosynthesis images.

A system and method for improved image acquisition of multiple pulsed X-ray source-in-motion tomosynthesis imaging apparatus by generating the electrocardiogram (ECG) waveform data using an ECG device. Once a representative cardiac cycle is determined, system will acquire images only at rest period of heart beat. Real time ECG waveform is used as ECG synchronization for image improvement. The imaging apparatus avoids ECG peak pulse for better chest, lung and breast imaging under influence of cardiac periodical motion. As a result, smoother data acquisition, much higher data quality can be achieved. The multiple pulsed X-ray source-in-motion tomosynthesis machine is with distributed multiple X-ray sources that is spanned at wide scan angle. At rest period of one heartbeat, multiple X-ray exposures are acquired from X-ray sources at different angles. The machine itself has capability to acquire as many as 60 actual projection images within about two seconds.

The presented are X-ray diagnosis method and system using multiple pulsed X-ray source-in-motion tomosynthesis imaging technology. While taking X-ray instrument image data, artificial intelligence (AI) analyzes patient responses, compares current condition with the patient history and other patient information that may become part of a patient. It reports lesions location changes, sets severity threshold and warning status, generate treatment information. It also recommend to a X-ray region of interest (ROI) scan, a complete X-ray CT scan or other health care professionals and specialists.

Monitoring patient vital signs is performed by analyzing videos recorded of a patient. An algorithm is used to compute the real-time patient vital signs based on video images of the patient. These images can be captured by a video monitoring device positioned over a patient's bed. The video monitoring device can include a thermal camera and a near infrared camera that continuously send video images to a processing unit. The thermal image is used to locate the patient's face and chest. The images are analyzed with an algorithm employed to determine a patient's heart rate, respiration rate, temperature, and body position.

The present application discloses a method of adjusting a parameter, the parameter being used to derive a physiological characteristic of an individual from an image of the user, the method comprising the steps of: obtaining the parameter for the individual; obtaining a corresponding parameter for a plurality of other individuals within a cohort of the individual; comparing the parameter for the individual with a statistically significant parameter for the plurality of other individuals; and adjusting the parameter for the individual in accordance with the difference between the parameter for the individual and the statistically significant parameter for the plurality of other individuals.

A system for monitoring anastomosis healing includes an imaging device for observing a first distance at a first location between first and second staple lines at a first instant in time, and a second distance at the first location at a second instant in time, and a programmable device configured to calculate a difference between the first and second distances and to compare the difference with known distances of anastomoses exhibiting known conditions.