CARDIAC MOTION SIGNAL DERIVED FROM OPTICAL IMAGES

    公开(公告)号:US20200046300A1

    公开(公告)日:2020-02-13

    申请号:US16492643

    申请日:2018-03-16

    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.

    SELF-LEARNING DISTRIBUTED SYSTEM WITH AUTOMATED GROUND-TRUTH GENERATION

    公开(公告)号:US20220277835A1

    公开(公告)日:2022-09-01

    申请号:US17624662

    申请日:2020-07-03

    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. The system further comprises a processing unit, configured to determine an association between one or more features in the measurement image and one or more features extracted from the medical image and/or from the exam metadata by mapping a point in a coordinate system of the medical image to a point in a coordinate system of the measurement image. The system further comprises an output interface, configured to be coupled to a training set database for adding the measurement image comprising data that labels the one or more associated features in the measurement image to the training set database for training the machine learning model.

    CAMERA ASSISTED SUBJECT SUPPORT CONFIGURATION

    公开(公告)号:US20220189622A1

    公开(公告)日:2022-06-16

    申请号:US17432923

    申请日:2020-02-24

    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. The Execution of the machine executable instructions further causes the processor to repeatedly: acquire (404) the camera data using the camera system; input (406) the camera data into a neural network to generate a list of placed objects (166); determine (408) a list of missing objects (168) by comparing the list of selected objects to the list of placed objects; indicate (410) using the signal system the list of missing objects; determine (412) a list of misplaced objects (170) by comparing the selected coordinate for each of the list of objects to the coordinates of the placed objects on the support surface; and indicate (414) using the signal system the list of misplaced objects.

    WEIGHT ESTIMATION OF A PATIENT
    5.
    发明申请

    公开(公告)号:US20250031994A1

    公开(公告)日:2025-01-30

    申请号:US18710650

    申请日:2022-10-27

    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.

    POSITION FEED BACK INDICATOR FOR MEDICAL IMAGING

    公开(公告)号:US20210244283A1

    公开(公告)日:2021-08-12

    申请号:US16972636

    申请日:2019-06-04

    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. The execution of the machine executable instructions (120) causes a processor (114) controlling the medical instrument to: acquire (200) a base position image (122) using the camera system; repeatedly (202) acquire a subsequent image (124) using the camera system; repeatedly (204) calculate an image transformation (126) from voxels of at least a portion of the base position image to voxels of the subsequent image by inputting the base position image and the subsequent image into an image transformation algorithm (128); and repeatedly (206) render a position feedback indicator (130, 900) on the display, wherein the position feedback indicator is controlled by the image transformation.

    METHOD OF TIME-EFFICIENT 4D MAGNETIC RESONANCE IMAGING

    公开(公告)号:US20160349344A1

    公开(公告)日:2016-12-01

    申请号:US15117217

    申请日:2015-02-03

    CPC classification number: G01R33/5673 G01R33/4835 G01R33/561 G01R33/5676

    Abstract: A method of operating a respiratory-guided magnetic resonance imaging system (10) with regard to triggering of magnetic resonance image acquisition, the magnetic resonance imaging system (10) being connectable to a respiration monitoring device (46) which is configured to provide an output signal (48) whose level represents a respiration state of the subject of interest (20), the method comprising a step (56) of generating an interleaved acquisition scheme for acquiring magnetic resonance images, a step (60) of adapting, in case of an occurrence of an irregularity in the breathing of the subject of interest (20) in the output signal (48) obtained by the respiration monitoring device (46) in the course of executing magnetic resonance image acquisition, at least one parameter of the interleaved acquisition scheme, wherein the at least one adapted parameter is at least one of a next respiration state of the subject of interest (20) to trigger on for acquiring at least one magnetic resonance image, a radio frequency pulse sequence-inherent idle time, and the chronological order of at least one slice of the plurality of slices to be imaged of at least the portion of the subject of interest (20), a step (62) of halting execution of magnetic resonance image acquisition, and a step (64) of resuming execution of magnetic resonance image acquisition pursuant to the interleaved acquisition scheme using the adapted parameter; a respiratory-guided magnetic resonance imaging system (10) having a control unit (26) that is configured to carry out steps (56-64) of an embodiment of the disclosed method; and a software module (44) for carrying out an embodiment of the disclosed method, wherein the method steps (56-64) to be conducted are converted into a program code that is implementable in a memory unit (30) and is executable by a processor unit (32) of the respiratory-guided magnetic resonance imaging system (10).

    AUTOMATED COMPUTATION OF TRIGGER DELAY FOR TRIGGERED MAGNETIC RESONANCE IMAGING SEQUENCES

    公开(公告)号:US20200093443A1

    公开(公告)日:2020-03-26

    申请号:US16468734

    申请日:2017-12-11

    Abstract: A magnetic resonance (MR) imaging device (10) repeatedly executes a navigator pulse sequence (40) to generate navigator data in image space as a function of time, and a motion signal (44) of an anatomical feature that moves with a physiological cycle (e.g. respiration) as a function of time is extracted from the navigator data. A concurrent physiological signal (16) as a function of time is generated by a physiological monitor (12, 14) concurrently with the repeated execution of the navigator pulse sequence. A gating time offset (50) is determined by comparing the motion signal of the anatomical feature as a function of time and the concurrent physiological signal as a function of time. The MR imaging device performs a prospective or retrospective gated MR imaging sequence (36) using gating times defined as occurrence times of gating events detected by the physiological monitor modified by the gating time offset.

    MR FINGERPRINTING FOR DETERMINING PERFORMANCE DEGRADATION OF THE MR SYSTEM

    公开(公告)号:US20180014745A1

    公开(公告)日:2018-01-18

    申请号:US15546310

    申请日:2016-01-14

    Abstract: A contact-free method of determining biometric parameters and physiological parameters of a subject of interest (20) to be examined by a medical imaging modality (10), comprising steps of taking (72) a picture by a first digital camera (52) including a total view of an examination table (44); applying (74) a computer vision algorithm or an image processing algorithm to the picture for determining a biometric parameter of the subject of interest (20) in relation to the examination table (44); taking (78) at least one picture with a second digital camera (58), whose field of view (60) includes a region of the subject of interest (20) that is related to the at least one determined biometric parameter; using data indicative of the determined biometric parameter to identify (82) a subset of pixels of the at least one picture taken by the second digital camera (58) that define a region of interest (64) from which at least one physiological parameter of the subject of interest (20) is to be determined, taking (84) a plurality of pictures of the region of the subject of interest (20) with the second digital camera (58), and applying (86) a computer vision algorithm or an image processing algorithm to pictures of the plurality of pictures taken by the second digital camera (58) for calculating the region of interest (64) in the pictures of the plurality of pictures for determining the physiological parameter of the subject of interest (20) during examination; a camera system (50) for determining, in a contact-free way, biometric parameters and physiological parameters of a subject of interest (20) to be examined by use of a medical imaging modality (10) and using such method; and—a medical imaging modality (10) configured for acquisition of scanning data of at least a portion of a subject of interest (20), the medical imaging modality (10) comprising such camera system.

    MAGNETIC RESONANCE FINGERPRINTING DATA COLLECTION AND ANALYSIS SYSTEM

    公开(公告)号:US20170328973A1

    公开(公告)日:2017-11-16

    申请号:US15527028

    申请日:2015-11-16

    Abstract: A method of employing a central computer database (18) for supporting a characterization of tissue by magnetic resonance fingerprinting measurements, including steps of —exciting nuclei of a subject of interest by applying (50) a radio frequency excitation field B1 generated according to a magnetic resonance fingerprinting sequence (38), —acquiring (52) magnetic resonance imaging signal data from radiation emitted by excited nuclei of the subject of interest, —transferring (54) a magnetic resonance fingerprinting data set (42) to the central computer database (18), —retrieving (56) a predefined dictionary from the central computer database (18), —matching (60) the acquired magnetic resonance imaging signal data to the retrieved dictionary by applying a pattern recognition algorithm to determine a value (40) or a set of values (40) for at least one physical quantity (T1, T2), —adding (62) at least the determined value (40) or the determined set of values (40) as a new entry of an associated medical data set (36) to the central computer database (18), and —making (64) the new entry of an associated medical data set (36) accessible to users of the central computer database (18); and —a magnetic resonance fingerprinting data collection and analysis system (10) comprising a central computer database, a data receiving unit (20), a data output unit (22) and a data analysis device (26) configured to carry out the method.

Patent Agency Ranking