Abstract: 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.

Abstract: Disclosed is a medical imaging system (100, 400) component comprising: an optical image generator (122) configured for generating a two-dimensional image (200); an optical imaging system (126) configured for acquiring optical image data (166); and an optical waveguide bundle (124) comprising a subject end (132) and an equipment end (130). The subject end comprises at least one lens (136, 136). The optical image generator is configured for optically coupling to the equipment end to form an image projection pathway. The optical waveguide bundle is configured for projecting the two-dimensional image through the image projection pathway. The optical imaging system is configured for optically coupling to the equipment end to form an optical image data acquisition pathway. The optical imaging system is configured for acquiring the optical image data through the lens via the optical image data acquisition pathway.

Abstract: The invention provides for a medical instrument (100, 300, 400, 500, 600) comprising a camera system (102, 102?, 102?) for imaging a portion (418) of a subject (108) reposing on a subject support (106). The medical instrument further comprises a display system (104) for rendering a position feedback indicator (130, 900). The display system is configured such that the position feedback indicator is visible to the subject when the subject is reposing on the subject support.

Abstract: The present invention relates to a medical image acquisition unit assistance apparatus (10) comprising: at least one camera (20); a processing unit (30); and an output unit (40). The at least one camera is configured to be located in the vicinity of a patient support of a medical image acquisition unit. The at least one camera is configured to acquire at least one data of a human operator standing adjacent to the patient support. The at least one camera is configured to provide the at least one data of the operator to the processing unit. The processing unit is configured to determine a height of the operator, wherein the determination comprises utilization of the at least one data. The output unit is configured to output a signal to adjust a height of the patient support, wherein the adjustment comprises utilization of the height of the operator.

Abstract: A positioning control system for a patient carrier comprises a camera system to acquire image information from a detection range. An analysis module configured to access the acquired image information from the detection range and compute operator-activity within the detection range from the acquired image information. The operator-activity representing a spatio-temporal pattern of activities of an operator in the detection range. From the operator activity compute a location of a target anatomy that is selected to be imaged. The location of the target anatomy that is to be imaged can be derived from the spatio-temporal activity pattern of the operator during the preparation of the patient to be examined.

Abstract: A computer-implemented method is provided for estimating a weight of a patient when supported on a patient table. Optical image data and depth image data are obtained and patient body keypoints are extracted from the optical image data. A first frame is selected which comprises an image of the patient table, by selecting a frame in which no body keypoints are present in the optical image data. A second frame is selected of the patient on the table, by selecting a frame with patient body keypoints and with little or no movement. A patient volume is obtained based on a difference between the depth image data for the first and second frame (or depth data at those times) and the patient weight is estimated from the determined patient volume.

Abstract: In order to generate annotated ground truth data for training a machine learning model for inferring a desired scan configuration of an medical imaging system from an observed workflow scene during exam preparation, a system is provided that comprises a sensor data interface configured to access a measurement image of a patient positioned for an imaging examination. The measurement image is generated on the basis of sensor data obtained from a sensor arrangement, which has a field of view including at least part of an area, where the patient is positioned for imaging. The system further comprises a medical image data interface configured to access a medical image of the patient obtained from a medical imaging apparatus during the imaging examination. The patient is positioned in a given geometry with respect to a reference coordinate system of the medical imaging apparatus. The system further comprises an exam metadata interface configured to access exam metadata of the imaging examination.

Abstract: Disclosed herein is a medical system (100, 300) comprising a memory (110) storing machine executable instructions (120) and an anatomical keypoint locator module (122). The anatomical keypoint locator module is configured to output a set of anatomical keypoint coordinates (126) of a subject (318) in response to receiving a camera image (124) descriptive of the subject. The medical system further comprises a computational system (104). Execution of the machine executable instructions causes the computational system to: receive (200) the camera image; receive (202) the set of anatomical keypoint coordinates in response to inputting the camera image into the anatomical keypoint locator module; receive (204) a list of coordinates (128); search (206) the list of coordinates to determine a match with the set of anatomical keypoint coordinates: and provide (208) a warning signal if the match is determined.

Abstract: The invention provides means for determining 3D position data in an MRI system.

Abstract: The invention provides for a medical apparatus (100, 200, 300, 500) comprising an optical imaging system (106) configured for acquiring a series of optical images (544) descriptive of cardiac motion of a subject (102). The medical apparatus further comprises a memory (534) for storing machine executable instructions (540). The medical apparatus further comprises a processor (530) for controlling the medical apparatus. Execution of the machine executable instructions causes the processor to repeatedly: acquire (400) a series of images using the optical imaging system, wherein the series of images are acquired at a rate of at least 10 frames per second; and derive (402) a cardiac motion signal (546) from the series of images, wherein the cardiac motion signal is derived by tracking motion of at least a group of pixels within the series of images.

Abstract: A computer-implemented method for preparing a subject in medical imaging, comprising: obtaining a series of images of a region of interest comprising at least a part of the subject, wherein the series of images comprises at least a first image and at least a subsequent, second image (S10); determining a position of at least one landmark from the series of images, wherein the at least one landmark is anatomically related to a target anatomy (S20); determining a confidence level assigned to the position of the at least one landmark (S30); determining the position of the target anatomy based on the position of the at least one landmark, and the confidence level (S40); providing the position of the target anatomy for preparing the subject in medical imaging (S50).

Abstract: The invention provides for a medical instrument (100, 300) comprising: a subject support (110) comprising a support surface (112); a camera system (118); and a signal system (148). The execution of the machine executable instructions (152) cause a processor (142) controlling the medical instrument to: receive (400) a list of selected objects (160) each with a selected coordinate (162); and signal (402) the list of selected objects.

Abstract: The invention provides for a medical instrument (100, 600) that comprises a medical imaging system (102, 102?), a subject support (110), and a camera system (104) configured for imaging the subject support in an initial position.

Abstract: A computer-implemented method for preparing a subject in medical imaging, comprising: obtaining a series of images of a region of interest comprising at least a part of the subject, wherein the series of images comprises at least a first image and at least a subsequent, second image (S10); determining a position of at least one landmark from the series of images, wherein the at least one landmark is anatomically related to a target anatomy (S20); determining a confidence level assigned to the position of the at least one landmark (S30); determining the position of the target anatomy based on the position of the at least one landmark, and the confidence level (S40); providing the position of the target anatomy for preparing the subject in medical imaging (S50).

Abstract: A system for obtaining object keypoints for an object in a medical scanner, wherein the object keypoints are three dimensional, 3D, coordinates with respect to the medical scanner of pre-determined object parts. The system comprises a camera system for obtaining two dimensional, 2D, images of the object in the medical scanner, wherein the camera system comprises one or more cameras, and a processor. The processor is configured to obtain scanner variables from the medical scanner, wherein the scanner variables include the position of a part of the medical scanner which determines a relative position between the cameras in the camera system and the object. The processor determines object keypoint projections in 2D coordinates based on the 2D images from the camera system and determines the object keypoints in 3D coordinates by triangulating the object keypoint projections with respect to the camera system based on the scanner variables.

Abstract: According to the invention, a method for detecting at least one physiological signal (1) of a patient (7), wherein the method comprises the following method steps: monitoring at least a subsection (2) of a patient's surface (4) with a thermal camera (5) which generates consecutive video frames with multiple pixels (6) of the monitored subsection (2), wherein the subsection (2) of a patient's surface (4) includes at least a part of the mouth and/or nose area of the patient (7) as a region of interest (3); generating time-resolved temperature values of at least one pixel (8) of the region of interest (3); and generating a cardiac signal (9) as the physiological signal (1) based on the generated time-resolved temperature values. In this way, a possibility is provided for contactless tempera-ture-based monitoring of a patient in an easy and cost-efficient way.

Abstract: 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.

Abstract: A radio frequency (RF) system comprises an RF-array of antenna elements, a regulating arrangement to tune the antenna elements' impedances and a camera system to acquire image information of the RF-array. An analysis module is provided to derive operational settings such as resonant tuning settings, decoupling and impedance matchings of the antenna elements' impedances from the image information. The image information also represents the actual impedances and resonant properties of the RF-array. From the image information appropriate impedance settings can be derived that are the tuning parameters to render the RF-array resonant.

Abstract: In order to generate annotated ground truth data for training a machine learning model for inferring a desired scan configuration of an medical imaging system from an observed workflow scene during exam preparation, a system is provided that comprises a sensor data interface configured to access a measurement image of a patient positioned for an imaging examination. The measurement image is generated on the basis of sensor data obtained from a sensor arrangement, which has a field of view including at least part of an area, where the patient is positioned for imaging. The system further comprises a medical image data interface configured to access a medical image of the patient obtained from a medical imaging apparatus during the imaging examination. The patient is positioned in a given geometry with respect to a reference coordinate system of the medical imaging apparatus. The system further comprises an exam metadata interface configured to access exam metadata of the imaging examination.

Abstract: A respiratory monitoring device comprises: a light source (30) arranged to generate a projected shadow (S) of an imaging subject (P) positioned for imaging by an imaging device (8); a video camera (40) arranged to acquire video of the projected shadow; and an electronic processor (42) programmed to extract a position of an edge of the projected shadow as a function of time from the acquired video. In some embodiments, the light source is arranged to project the shadow onto a bore wall (20) of the imaging device, and the video camera is arranged to acquire video of the projected shadow on the bore wall. The electronic processor may be programmed to extract the position of the edge (E) as a one-dimensional function of time (46) based on the position of the edge in each frame of the acquired video and time stamps of the video frames.