Disclosed herein is a medical instrument (100, 300). Execution of the machine executable instructions causes a processor (106) to: receive (206) a set of joint location coordinates (128) for a subject (118) reposing on a subject support (120), receive (207) a body orientation (132) in response to inputting the set of joint location coordinates into a predetermined logic module (130), calculate (208) a torso aspect ratio (134) from set of joint location coordinates. If (210) the torso aspect ratio is greater than a predetermined threshold (136) then (212) the body pose of the subject is a decubitus pose. Execution of the machine executable instructions further cause the processor to assign (220) the body pose as being a supine pose if the subject is face up on the subject support or assign (222) the body pose as being a prone pose if the subject is face down on the subject support if the torso aspect ratio is less than or equal to the predetermined threshold. Execution of the machine executable instructions further cause the processor to generate (216) a subject pose label (142).

Disclosed is a system (100, 200) for giving feedback based on motion before or during medical imaging, comprising: —an optical camera device (110, 210) that is configured to generate image data of at least two images of a subject (408) or of a part of a subject (408) which can be arranged or is arranged at a subject placing location (194) of a medical imaging device (192), and—a feedback signaling unit (120, 124) that is configured to generate based on movement data obtainable from the image data a feedback signal (Si1, Si2) that is perceptible by the subject (408) and/or by an operator of a medical imaging device or by MRI technician (192).

A carrier positioning device includes a carrying base (100) and a carrier (200). A clamp (110) is arranged on the carrying base (100) and a protruding hook (113) protrudes from one side of a distal end (111) of the clamp (110). The carrier (200) has a pipe (210), and a joint (220) is disposed at one end of the pipe (210). The protruding hook (113) hooks one side of the joint (220) so that at least another portion of the carrier (200) is in contact with the carrying base (100). Accordingly, the carrier (200) can be quickly installed or be removed along a lateral direction.

A computer-implemented method of detecting and quantifying a spinal curve is disclosed herein. The method comprises obtaining an infrared radiometer camera, positioning the infrared radiometer camera for receiving thermal data for a spine of a subject, the camera being horizontally spaced about ½ meters to about 3 meters from the spine, scanning at least a portion of the spine with the infrared radiometer camera to obtain the thermal data, analyzing the thermal data using machine learning software which uses a classification algorithm to determine the presence of the spinal curve, and calculating a first Cobb angle for the curve of the subject's spine. Corresponding systems and additional methods also are disclosed.

A laser based vascular illumination system utilizing a FPGA for detecting vascular positions, processing an image of such vasculature positions, and projecting the image thereof onto the body of a patient.

Methods and systems are provided for detecting patient motion during a diagnostic scan. In one example, a method for a medical imaging system includes obtaining output from one or more patient monitoring devices configured to monitor a patient before and during a diagnostic scan executed with the medical imaging system, receiving a request to initiate the diagnostic scan, tracking patient motion based on the output from the one or more patient monitoring devices, and initiating the diagnostic scan responsive to patient motion being below a threshold level.

Various embodiments of the disclosed technology present a structural foundation for volumetric flow reconstructions for expiratory modeling enabled through multi-modal imaging for pulmonology. In some embodiments, this integrated multi-modal system includes infrared (IR) imaging, thermal imaging of carbon dioxide (CO.sub.2), depth imaging (D), and visible spectrum imaging. These multiple image modalities can be integrated into flow models of exhale behaviors enable the creation of three-dimensional volume reconstructions based on visualized CO.sub.2 distributions over time, formulating a four-dimensional exhale model which can be used to estimate various pulmonological traits (e.g., breathing rate, flow rate, exhale velocity, nose/mouth distribution, tidal volume estimation, and CO.sub.2 density distributions). Various embodiments also enable the accurate acquisition of numerous pulmonary metrics that are then stored within distributed systems for respiratory data analytics and feature extraction through deep learning embodiments.

A non-transitory computer-readable medium encoded with a computer-readable program, which, when executed by a processor, will cause a computer to execute a method of processing an image, wherein the method includes receiving a 2-D color Doppler image. The method additionally includes extracting a single component velocity field of a 2-D plane from the 2-D color Doppler image. Further, the method includes receiving a geometrical boundary of a region of interest within the 2-D color Doppler image. Moreover, the method includes applying a plurality of boundary conditions to the geometrical boundary, an at least one inlet, and an at least one outlet, of the single component velocity field of a 2-D plane. The method additionally includes solving a streamfunction vorticity formulation to reconstruct a transverse velocity component. Further, the method includes outputting a reconstructed 2-D 2-component velocity based on the transverse velocity component.

Methods and systems are provided for determining scan settings for a localizer scan based on a magnetic resonance (MR) calibration image. In one example, a method for magnetic resonance imaging (MRI) includes acquiring an MR calibration image of an imaging subject, mapping, by a trained deep neural network, the MR calibration image to a corresponding anatomical region of interest (ROI) attribute map for an anatomical ROI of the imaging subject, adjusting one or more localizer scan parameters based on the anatomical ROI attribute map, and acquiring one or more localizer images of the anatomical ROI according to the one or more localizer scan parameters.

A tomographic imaging system comprises a support carrying an image data acquisition system and defining a reference coordinate frame. A scan plan control sets the image-data acquisition system to acquire image-data from a selected imaging zone in the reference coordinate system. A motion detection system to detect movement and includes (i) a dynamic camera system to receive dynamic image information registered in the image coordinate frame of the dynamic camera system, (ii) an arithmetic unit configured to transform the selected imaging zone from the reference coordinate frame to the image coordinate-frame and a (iii) motion analyser to derive motion information from the registered dynamic image information in the transformed selected imaging zone. In the event of motion detected by the motion analyser in or near the imaging zone, the detected motion may be employed for motion correction.