Abstract: An ultrasonic probe lens comprising a lens body comprising a solid material extending outward from an optical lens axis to a periphery, an inner surface of the lens body, and an outer surface of the lens body. A thickness of the lens body as measured from the inner surface to the outer surface varies from an optical lens axis to the periphery such that the lens body is configured with an inner optical profile and an outer optical profile to phase modulate the ultrasonic waves incident upon the lens body to reduce reverberations.

Abstract: The present application provides a suspension device and an X-ray imaging system. The suspension device is configured to bear a tube device of an X-ray imaging system. The suspension device includes a plurality of sleeves and a guide rail assembly. Cross-sections of the plurality of sleeves have substantially the same shape but different sizes. The plurality of sleeves are sequentially arranged. The guide rail assembly is provided between at least one sleeve and another sleeve adjacent thereto. The guide rail assembly includes a protruding member extending along a surface of the at least one sleeve and a sliding member provided on the another sleeve and engaging with the protruding member. The sliding member is capable of moving relative to the protruding member so as to drive the sleeves to move relative to each other.

Abstract: The present disclosure relates to an imaging system and method. Specifically, an imaging system comprises: a positioning image acquisition unit, configured to acquire a positioning image of a scanning object; a monitoring slice image acquisition unit, configured to determine a key point corresponding to the position of a target region of interest in the positioning image by using a neural network, and acquire a monitoring slice image of the scanning object at the position of the key point; and a target region-of-interest segmentation unit, configured to segment the monitoring slice image to obtain the target region of interest. The present disclosure can accurately acquire the position of the monitoring slice, and can accurately obtain the target region of interest through segmentation by a cascaded coarse segmentation and fine segmentation.

Abstract: Systems/techniques that facilitate deep learning multi-planar reformatting of medical images are provided. In various embodiments, a system can access a three-dimensional medical image. In various aspects, the system can localize, via execution of a machine learning model, a set of landmarks depicted in the three-dimensional medical image, a set of principal anatomical planes depicted in the three-dimensional medical image, and a set of organs depicted in the three-dimensional medical image. In various instances, the system can determine an anatomical orientation exhibited by the three-dimensional medical image, based on the set of landmarks, the set of principal anatomical planes, or the set of organs. In various cases, the system can rotate the three-dimensional medical image, such that the anatomical orientation now matches a predetermined anatomical orientation.

Abstract: Method (1000) and system (100) for image processing for a medical device is provided. The method (1000) includes acquiring (1010) a plurality of images of a subject using an image acquisition system (110) of the medical device. The method (1000) further includes identifying and differentiating (1020) a plurality of background pixels and a plurality of foreground pixels in the images using the deep learning module (125). The method (1000) further includes suppressing (1030) the identified background pixels using a mask and processing the foreground pixels for subsequent reconstruction and/or visualization tasks.

Abstract: A system for acquiring an image in which deterioration of vascular signals due to improved water-fat swap is provided. The system includes a magnetic resonance imaging device, which receives an out-of-phase signal and in-phase signal from an imaging site including a blood vessel. The system also includes a processor that processes a digital signal including data representing the out-of-phase signal and in-phase signal. The processor executes an operation including: generating a water image Wa based on the digital signal; and adding a signal intensity |Iin| of the out-of-phase signal and a signal intensity of the in-phase signal to the water image Wa to generate a vascular image representing the blood vessel.

Abstract: Provided in the present invention are a magnetic resonance imaging system and method, and a computer-readable storage medium. The method comprises: performing a medical scan of a subject and acquiring a first medical image having a first noise interference artifact, and performing an additional scan of the subject to acquire a second medical image, wherein the second medical image has a second noise interference artifact, and the location mapping of the second noise interference artifact in the first medical image is symmetrical to the location of the first noise interference artifact relative to a pixel center of the first medical image; and performing synthesis-related processing on the first medical image and the second medical image to acquire a post-processed image with reduced noise interference artifacts.

Abstract: A medical imaging system includes a CT imaging system including a gantry having a bore, rotatable about an axis of rotation. The CT imaging system includes a table configured to move a subject to be imaged into and out of the bore, a radiation source mounted on the gantry and configured to emit an X-ray beam, and a detector configured to detect the X-ray beam. The medical imaging system includes a LiDAR scanning system physically coupled to the CT imaging system. The LiDAR scanning system is configured to acquire data of the subject from different angular positions relative to the axis of rotation. The medical imaging system includes processing circuitry configured to receive the data acquired with the LiDAR scanning system, to generate a three-dimensional (3D) measurement of the subject, and to utilize the 3D measurement in a subsequent workflow process for a CT scan of the subject.

Abstract: A method of fabricating a stretchable RF coil assembly of an MR system using a sewing machine is provided. The method includes providing a sewing accessory assembly. The sewing accessory assembly includes a substrate holder including an inner hoop and an outer hoop. The method also includes assembling a former and a stretchable substrate with the substrate holder by coupling sides of the former and sides of the stretchable substrate between the inner hoop and the outer hoop. The method further includes coupling the assembled substrate holder with a sewing machine, and assembling an RF coil assembly by sewing a pattern of a fiber conductor on the stretchable substrate.

Abstract: Techniques are described for computer-aided diagnostic evaluation of liver exams. A method embodiment comprises rendering, by a system operatively coupled to a processor, medical images of a liver of a patient in a graphical user interface (GUI) of a medical imaging application that facilitates evaluating liver imaging exams. The method further comprises identifying, by the system, an observation on the liver as depicted in one or more of the medical images and evaluating defined imaging features associated with the observation as depicted in the one or more medical images. The method further comprises providing, by the system, feature information regarding the defined imaging features via the GUI.

Abstract: According to one aspect of an exemplary embodiment of the disclosure, an imaging device or system, e.g., a mammography imaging system or device, includes a distance and location sensing system on the imaging system/e to provide accurate distance and position information from one or more sensing device(s) constituting the system that measure the elapsed time between the emission of the wave or radiation from the sensing device and the detection of the reflected wave or radiation. Examples of the types of sensing devices include ultrasound sensing devices, MEMS radar devices and time-of-flight (ToF) sensing devices. The distance information can be employed to determine the relative positions to produce a distance map illustrating the position and shape of any objects sensed within the zone by the sensing device(s), to determine the rate of change of the positions, i.e.

Abstract: Various methods and systems are provided for a user interface of a medical imaging system. In one embodiment, a method may include displaying a slider bar comprising a track having a fixed range of values, a first slider thumb defining a maximum value of a first adjustable range on the track, and a second slider thumb defining a minimum value of a second adjustable range on the track; operating the first slider thumb and the second slider thumb in one of a linked mode and an unlinked mode; and adjusting one or both of the maximum value of the first adjustable range and the minimum value of the second adjustable range in response to receiving a single user input based on whether the first slider thumb and the second slider thumb are operating in the linked mode or the unlinked mode.

Abstract: Methods and systems are provided for automated protocol recommendation and selection in a medical imaging system. In one example, a method for the medical imaging system may include receiving an imaging order for an operator requesting an exam be performed on a patient using the medical imaging system, recommending a scan protocol for conducting the exam based on historical selections data for the operator and patient demographic data for the patient, and outputting the recommended scan protocol for display on a display device and/or automatically executing the recommended scan protocol.

Abstract: Provided in the present application are an assistance system and method for a suspension device, and an X-ray imaging system. The suspension device includes a tube device, a tube controller, a motion driving device and an assistance system. The motion driving device is capable of driving the suspension device to move along a first coordinate system. The assistance system includes a measurement device and a control device. The measurement device is disposed between the tube device and the tube controller so as to obtain an initial force of an operator, wherein the initial force includes the magnitude and direction of a force along a second coordinate system in which the measurement device is located. The control device includes a calibration unit and a calculation unit. The calibration unit is used for calibrating the initial force to obtain a calibrated force.

Abstract: Systems/techniques that facilitate interpretable task-specific dimensionality-reduction are provided. In various embodiments, a system can access a three-dimensional medical image. In various aspects, the system can generate, via execution of a first deep learning neural network, a voxel-wise weight map corresponding to the three-dimensional medical image and a set of projection vectors corresponding to the three-dimensional medical image. In various instances, the system can generate a set of two-dimensional projection images of the three-dimensional medical image, based on the voxel-wise weight map and the set of projection vectors. In various cases, the first deep learning neural network can be trained in a serial pipeline with a second deep learning neural network that is configured to perform an inferencing task on two-dimensional inputs. This can cause the set of two-dimensional projection images to be tailored to the inferencing task.

Abstract: Techniques are described that facilitate dynamic multimodal segmentation selection and fusion in medical imaging. In one example embodiment, a computer processing system receives a segmentation dataset comprising a combination of different image segmentations of an anatomical object of interest respectively segmented via different segmentation models from different medical images captured of the (same) anatomical object, wherein the different medical images and the different image segmentations vary with respect to at least one of, capture modality, acquisition protocol, or acquisition parameters. The system employs a dynamic ranking protocol as opposed to a static ranking protocol to determine ranking scores for the different image segmentations that control relative contributions of the different image segmentations in association with combining the different image segmentations into a fused segmentation for the anatomical object.