A mobile-platform imaging device uses compression of the target region to generate an image of an object. A tactile sensor has an optical waveguide with a flexible, transparent first layer. Light is directed into the waveguide. Light is scattered out of the first layer when the first layer is deformed. The first layer is deformed by the tactile sensor being pressed against the object, A force sensor detects a force pressing the tactile sensor against the object and outputs corresponding force information. A first communication unit receives the force information from the force sensor. A receptacle holds a mobile device with a second communication unit and an imager that can generate image information using light scattered out of the first layer. The first communication unit communicates with the second communication unit and the mobile device communicates with an external network.

The present disclosure relates generally to the imaging of blood vessels, and in particular, to the detection of one or more borders of a blood vessel. In some embodiments, a medical imaging system is configured to detect a primary border of a blood vessel and one or more alternative borders of the blood vessel. For example, in some embodiments, a medical imaging system includes an imaging device configured to obtain an image of a blood vessel, a processing unit, and a user display. The processing unit can be configured to receive the image of the blood vessel and perform an analysis of the image to identify a primary candidate border and an alternative candidate border of the blood vessel. The primary candidate border and alternative candidate border can represent candidates for a single boundary of the blood vessel.

A fluorescent imaging device includes a light source unit including a first light source for radiating excitation light, a second light source for radiating visible illumination light, and a third light source for radiating non-visible light, an imager being configured to capture a fluorescent image, a visible image, and a non-visible image, and a tracking processor that is operable to perform moving-body tracking for a region of interest that is set in an image based on at least the non-visible image.

A blood vessel cross-section function, a blood vessel pressure difference, and blood vessel stress may be established. A method for establishing a blood vessel cross-section function may include: obtaining image data in at least one cardiac cycle; selecting multiple feature times during the one cardiac cycle; generating spatial models of a target region blood vessel corresponding to each of the feature times according to the image data; establishing a first cross-section model of the target region blood vessel at each position along an axial direction of the target region blood vessel according to each of the spatial models; and establishing a corresponding first cross-section function according to each first cross-section model. Actual conditions of blood vessels may be reflected more accurately, and may provide an intermediate variable with less error for subsequent analysis operations, so that the later calculated value is closer to the actual value.

An image providing method performed by a computing apparatus includes acquiring a first image group including at least a portion of a series of images generated for continuous volumes with a first slice thickness belonging to a subject, providing, as a current viewing image, one image of the first image group or one image of a second image group including images generated for continuous volumes with a second slice thickness belonging to the subject, and in response to a first specific input of an input device, repeatedly updating an image provided as the current viewing image with an individual image provided for a subsequent viewing based on a directivity given for the first specific input and, in response to a second specific input of the input device, switching the current viewing image between an image of the first image group and an image of the second image group.

The present disclosure may provide a method. The method may include processing an image of a subject using a detection model to generate one or more detection results corresponding to one or more objects in the image; and generating an image metric of the image based on the one or more detection results corresponding to the one or more objects.

There is provided herein a guidance system for positioning an insertion device comprising: an electromagnetic field generator configured to generate an electromagnetic field covering a treatment area, an insertion device comprising an electromagnetic sensor, the electromagnetic sensor configured to receive signals indicative of the electromagnetic field, and a processing circuitry configured to: load an X-ray, CT, ultrasound or MRI image of the subject's chest, mark a location of a first and a second anatomic landmarks on the subject's torso using a registration sensor and obtaining a subject coordinate system based thereon, identify the location of the first and the second anatomic landmarks on the loaded X-ray, CT, ultrasound or MRI image of the subject's chest; aligning the subject coordinate system with the loaded X-ray, CT, ultrasound or MRI image, and display, on the image, a path of the insertion device insertion with respect to the first and the second anatomic locations; wherein the path is generated according to changes in the strength of the electromagnetic field sensed by the tip sensor's during the insertion of the insertion device.

In the field of obesity related disease, identification of patients with nonalcoholic steatohepatitis (NASH) would be useful to counsel them more intensively on diet and lifestyle changes and propose new pharmacological treatments. As a consequence, the inventors worked on a method for post-processing images of a region of interest of the liver for reconstructing a map of the internal magnetic susceptibility by using a Bayesian regularization approach to inverse the internal magnetic field. Such method can be implemented on computer and provides better results than other known methods for obesity related disease. This method may be applied for predicting that a subject is at risk of suffering from such disease, diagnosing a disease, identifying a therapeutic or a biomarker and screening compounds useful as a medicine.

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.

The present disclosure relates to a medical imaging method for motion artifact detection. The method comprises: using (201-203) a k-space acquisition property for generating a motion-corrupted image having a motion artifact as caused by a first initial motion pattern such that the motion artifact is defined as function of a feature matrix and the motion-corrupted image; initializing (205) at least one feature map of a convolutional neural network, CNN, with values of the convolution matrix; training (207) the initialized CNN to obtain, in training images, motion artifacts caused by a second training motion pattern; obtaining (209) a motion artifact in an input image using the trained CNN.