The method comprises receiving an image sequence of the subject from the camera during the medical imaging scan; receiving at least one of the current position or velocity of the patient table during the medical imaging scan; performing a motion tracking analysis of the image sequence to extract a motion model, wherein at least one of the motion tracking analysis or the motion model is tailored to the body region of interest and takes into account the at least one of the current patient table position or velocity; and analysing the motion model to detect subject motion and, if the detected motion is above a threshold, at least one of adapting the medical imaging examination or issuing an alert.

Systems and methods for tracking a target volume, e.g., tumor, in real-time during radiation treatment are provided. The system includes a memory to store a pre-acquired 3D image of the anatomy of interest in a first reference frame and a processor, operative coupled with the memory, to receive, from an ultrasound probe, a set-up ultrasound image of the anatomy of interest in a second reference frame. The processor further to establish a transformation between the first and second reference frames by registering the set-up ultrasound image with the pre-acquired 3D image and receive, from the ultrasound probe, an intrafraction ultrasound image of the anatomy of interest. The processor further to register the intrafraction ultrasound image with the set-up ultrasound image and track motion of the anatomy of interest based on the registered intrafraction ultrasound image.

A console includes a CPU and a GPU. Of the CPU and GPU, the CPU acquires an image to be processed, which is an object to be subjected to a support process that is a diagnosis support process or an imaging support process, and distributes a process to any one of the CPU, the GPU, or another GPU to execute the support process according to the content of the support process executed for the image to be processed.

A method of sequential monoscopic tracking is described. The method includes generating a plurality of projections of an internal target region within a body of a patient, the plurality of projections comprising projection data about a position of an internal target region of the patient. The method further includes generating external positional data about external motion of the body of the patient using one or more external sensors. The method further includes generating, by a processing device, a correlation model between the projection data and the external positional data by fitting the plurality of projections of the internal target region to the external positional data. The method further includes estimating the position of the internal target region at a later time using the correlation model.

Systems and methods include control of a nuclear imaging scanner to acquire nuclear imaging scan data of a body, control of a computed tomography scanner to acquire computed tomography scan data of the body, determination of a scanning speed, of the nuclear imaging scanner, associated with each of a plurality of scanning coordinates based on locations of one or more internal volumes associated with radioactivity greater than a threshold level, a classification determined for each of the one or more of the internal volumes indicating a degree of clinical interest based at least in part on the radioactivity associated with the internal volume, and an attenuation coefficient map based on the computed tomography scan data, and control of the nuclear imaging scanner to scan the body over each of the scanning coordinates at the associated scanning speed.

Healthcare services can be automated utilizing a system that recognizes at least one characteristic of a patient based on images of the patient acquired by an image capturing device. Relying on information extracted from these images, the system may automate multiple aspects of a medical procedure such as patient identification and verification, positioning, diagnosis and/or treatment planning using artificial intelligence or machine learning techniques. By automating these operations, healthcare services can be provided remotely and/or with minimum physical contact between the patient and a medical professional.

An imaging apparatus for use with an imaging device in order to image a subject. The imaging device includes an annular gantry having an opening and a table to accommodate the subject or a portion thereof for imaging. The imaging apparatus includes a platform and a positioning device. The imaging device is mounted to the platform. The annular gantry is in a fixed position relative to the platform. The table is horizontally displaceable relative to the annular gantry. The positioning device supports the platform and is configured to horizontally displace the platform relative to a supporting surface for the subject. The positioning device is configured to position the platform with the imaging device in at least one operational state in such a way that, during a relative movement of the table with respect to the annular gantry, the table remains stationary relative to the supporting surface.

Patient sitting equipment for radiotherapy, including an installation platform, a treatment couch assembly, a support and adjustment assembly and a 3D imaging assembly. The treatment couch assembly is configured to fix a patient. The support and adjustment assembly is configured to adjust a position of the treatment couch assembly with respect to the installation platform. The 3D imaging assembly includes a column assembly and a 3D imaging device. The column assembly is arranged at the installation platform, and extends along the vertical direction. The 3D imaging device is movably arranged at the column assembly, and is corresponding to the treatment couch assembly in a horizontal projection direction. The 3D imaging device is configured to scan the patient.

To provide technology that reduces vibrations in a yawing direction. A driving device 70 that drives a table 4 provided with a structure 50 including a cradle 40, comprising: a shaft 96 rotatable about a rotation axis along a longitudinal direction of the cradle 40; a first conversion part 100A provided on a first end side of the shaft 96 and that converts a rotational motion of the shaft 96 into a linear motion for moving the structure 50 in a transverse direction, where the transverse direction is a direction orthogonal to the longitudinal direction of the cradle 40 and a height direction of the table 4; and a second conversion part 100B provided on a second end side of the shaft 96 and that converts the rotational motion of the shaft 96 into a linear motion.

A multi-axis imaging system comprising an imaging gantry with an imaging axis extending through a bore of the imaging gantry, a support column that supports the imaging gantry on one side of the gantry in a cantilevered manner, and a base that supports the imaging gantry and the support column. The imaging system including a first drive mechanism that translates the gantry in a vertical direction relative to the support column and the base, a second drive mechanism that rotates the gantry with respect to the support column between a first orientation where the imaging axis of the imaging gantry extends in a vertical direction parallel to the support column and a second orientation where the imaging axis of the gantry extends in a horizontal direction parallel with the base, and a third drive mechanism that translates the support column and the gantry in a horizontal direction along the base.