According to the present disclosure, a method of monitoring a patient on an operating room table is provided. The method comprises receiving image data captured by at least one image capture device; and determining a position of the patient relative to the operating table in dependence on the image data. A corresponding system, computer program and non-transitory memory are also provided.

The present disclosure is related to systems and methods for image evaluation. The method may include obtaining an original image including a representation of at least one subject. The method may include generating a plurality of target positioning results for each of the at least one subject by inputting the original image into a prediction model. The prediction model may include a plurality of branches. Each of the plurality of target positioning results may correspond to a branch of the plurality of branches. The method may include determining an evaluation result corresponding to the original image based on the plurality of target positioning results.

In a method of treating a patient having low blood flow that may be caused by diffused plaque and/or a plaque mass associated with Peyronie's disease in a penile region, a predetermined amount of carbon dioxide is injected into affected corpus cavernosum at a location that is adjacent to, but spaced away from the plaque mass. In addition, either before and/or after the injection of the carbon dioxide, a decalcifying agent(s) may be injected directly into the plaque mass.

An apparatus includes a sensor configured to capture an image of an affected part, and a processor configured to obtain information about a size of the affected part in the captured image, and control timing to capture an image of the affected part or control timing to prompt a user to perform an imaging operation based on the information about the size of the affected part.

The present invention relates to a system and a method for calibration between coordinate systems of a 3D camera and a medical imaging apparatus and an application thereof. The calibration system comprises: a calibration tool arranged on a scanning table, wherein the calibration tool is provided with markers and a reference point, the reference point is aligned with a center of the medical imaging apparatus to serve as an origin of the coordinate system of the medical imaging apparatus, and positions of the markers in the coordinate system of the medical imaging apparatus are calculated according to relative positions of the markers with respect to the reference point; a 3D camera for capturing images of the markers and determining positions of the markers in the coordinate system of the 3D camera based on the captured images; and a calculation device for calculating a calibration matrix using the positions of the markers in the coordinate system of the 3D camera and the positions of the markers in the coordinate system of the medical imaging apparatus, and performing calibration between the coordinate system of the 3D camera and the coordinate system of the medical imaging apparatus using the calibration matrix. The method corresponds to the aforementioned system. The present invention further relates to an application of the calibration and a computer-readable storage medium capable of implementing the method and the application.

A magnetic resonance apparatus, for acquiring magnetic resonance data from a person who is asleep, includes a person support apparatus to provide a sleeping place; an acquisition arrangement including a radiofrequency coil arrangement for transmitting excitation pulses and for receiving magnetic resonance signals; and a controller, designed to operate the acquisition arrangement according to a magnetic resonance sequence for acquiring a magnetic resonance dataset from a region under examination of the person. The magnetic resonance apparatus includes a main magnetic field of strength less than 20 mT, in particular less than 10 mT, and the controller includes an acquisition unit for acquiring a magnetic resonance dataset via a prolonged magnetic resonance sequence having a total acquisition duration of more than one hour.

Systems and methods for generating a 3D model is provided. The methods may include receiving target information relating to the subject acquired by an information acquisition component and generate the 3D model of the subject based on the target information. The target information may include a plurality of images of the subject. The subject may be supported by a scanning table, and the information acquisition component may include a plurality of cameras mounted on a gantry of a medical imaging device. The plurality of cameras may be configured to acquire the plurality of images of the subject from multiple perspectives, and at least one of the plurality of cameras may be configured to acquire an image of a body side of the subject.

Disclosed herein is a medical system (100, 300, 400) comprising a memory (110) storing machine executable instructions (120). The medical system further comprises an anatomical detection module (122). The anatomical detection module is configured for detecting an anatomical deviation in response to inputting tomographic medical scout image data (124). The anatomical detection module is configured for outputting a localization (126) of the anatomical deviation in the tomographic medical scout image data if the anatomical deviation is detected. The medical system further comprises a processor (104) configured for controlling the medical system. Execution of the machine executable instructions causes the processor to: receive (200) the tomographic medical scout image data, receive (202) the localization of the anatomical deviation from the anatomical detection module in response to inputting the tomographic medical scout image data into the anatomical detection module, and provide (204) a warning signal (128) if the localization is received.

The present invention discloses a device for acquiring a functional image of tissue and a method for acquiring a functional image by using same, the device comprising: a light source for irradiating a tissue to be imaged with coherent light; an image acquisition unit for acquiring an image of a speckle pattern which is formed by scattering the light emitted from the light source over the tissue, and acquiring multiple images having different exposure times; an image processing unit for generating a functional image of the tissue on the basis of the multiple images acquired by the image acquisition unit; and a control unit for adjusting the light quantity of the light emitted to the tissue such that the multiple images having different exposure times have brightness values in a common range, and controlling the operation of the image acquisition unit.

A method for training a machine learning algorithm that classifies predictive regions-of interest (“ROI”) of progression of idiopathic pulmonary fibrosis. The method includes acquiring a set of computed tomography (CT) images of a plurality of patients and selecting a plurality of ROIs within the set of images. Each of the ROIs designates a label that indicates progression of pulmonary fibrosis and training a machine learning algorithm by inputting the plurality of ROIs and the associated labels into the algorithm. The algorithm identifies the ROIs in the set of images as indicating regions of pulmonary fibrosis within the set of images based on the features.