A cloud-based imaging protocol manager pushes standard imaging protocols from the cloud to imaging devices registered with the protocol manager. The protocol manager maintains a library storing standard imaging protocols, determines whether an imaging device is compatible with the standard protocol(s) to be pushed, creates a push command which requests pushing the standard protocol(s) to a compatible imaging device, stores the push command in a command queue, converts the standard protocol(s) to raw protocol(s) usable by the imaging device. The imaging device polls the command queue to receive the push command, downloads the raw protocol(s) from the protocol manager, commits or refuses to commit the downloaded protocol(s), and sends a notification to the protocol manager indicating execution status of the push command.

Described is a method of providing an estimate of radiation dose received by a patient during an imaging scan performed by an imaging system. The method includes receiving patient information about the patient, receiving scan data generated during the imaging scan of the patient by the imaging system, creating a virtual dose model of the patient based upon the patient information and the scan data, receiving a selection of a region of interest of the patient, performing a dose simulation on the virtual dose model of the patient or a portion thereof, and determining, based upon an outcome of the dose simulation, an estimate of the radiation dose received within the region of interest. The imaging scan can be a partial imaging scan of a portion of the patient. Also provided is a system and software for carrying out this method.

The management system of the X-ray detectors according to the embodiments detects X-rays irradiated from the X-ray generator when X-ray imaging is carried out, and includes an inspection unit and a validity period setting unit. The inspection unit inspects at least one of performance, function, and operation of an actual operation state of the X-ray detector. The validity period setting unit sets a validity period which is a criterion for determining whether the inspection results inspected are valid or not. The system is configured that the X-ray imaging is not performed on a subject when the inspection results are determined to be invalid based on the validity period.

Apparatus, systems, and methods for imaging protocol management are disclosed and described. An example imaging protocol manager includes an orchestrator, a baseliner, and a protocol application. The example orchestrator is to trigger a pull of a first imaging protocol. The example baseliner is configured to at least: process the first imaging protocol; and evaluate the first imaging protocol in comparison to a second imaging protocol from a protocol library to identify the first imaging protocol as at least one of a matching protocol, a new protocol, or a deviation with respect to the second imaging protocol, the deviation to be identified when the first imaging protocol is a partial match to the second imaging protocol. When the deviation is identified, the example baseliner is configured to remediate the deviation. When the first imaging protocol is identified as new, the example baseliner is to trigger storage of the first imaging protocol.

The present disclosure provides components, systems, and methods for predictive maintenance of medical diagnostic machine components.

According to one embodiment, a medical image diagnostic apparatus includes a holding device, a driving unit, a first encoder, a second encoder, and processing circuitry. The holding device holds an X-ray generator and an X-ray detector such that the X-ray generator and the X-ray detector are rotatable. The driving unit transmits a rotating force of a driving motor to a rotation axis through a power transmission mechanism. The first encoder detects a rotation of the driving motor. The second encoder detects a rotation of the rotation axis. The processing circuitry detects an abnormal state of the power transmission mechanism, based on a time difference between a first pulse output from the first encoder and a corresponding second pulse output from the second encoder.

One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to facilitate remote planned maintenance of medical imaging devices. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an input component that receives sensor data from at least one medical device, and a degradation component that utilizes a feature transformation algorithm to determine a degradation score for a planned maintenance task of the at least one medical device based on the sensor data. Additionally, the computer executable components can comprise a planned maintenance component that recommends maintenance for the at least one medical device based on the degradation score.

A method for detecting measurement signals during a medical imaging procedure executed by a medical device includes detecting measurement signals with a set of sensor nodes, which are integrated in a component of the medical imaging device, wherein each sensor node (SN) operates autonomously and wirelessly, and locally preparing the detected signals for being transmitted according to an interference-free instruction protocol, to a gateway.

A method for calibrating a device D includes at least one radiation source and a detector, the radiation source and the detector being installed on at least one moving support, comprising at least the following elements: at least one first sensor positioned close to the radiation source and at least one second sensor positioned close to the detector, the two first and second sensors being configured to estimate through calculation a position Ps of the source and a position Pd of the detector, and a sensor for sensing the angular position of the moving support, a synchronization module configured to synchronously trigger the measurements of the sensors, a module for pre-processing the measurements of the sensors, the processing module comprising an input receiving an operating model M of the device and a data merging algorithm taking into account at least the two measurements of the sensors and the model M in order to estimate an accurate position value for the source Ps and for the detector Pd.

According to one embodiment, a medical image diagnostic apparatus includes an imager, a mechanism, and processing circuitry. The imager is configured to image a subject. The mechanism is comprising a movable part. The processing circuitry is configured to generate an image of the subject based on an output of the imager, and perform processing for incident data based on at least one of a result of analyzing the image of the subject, or information for motion of the mechanism, wherein the incident data comprises at least one of operating sound data or shaking data of the mechanism.