The disclosure provides a method and system for determining a lumen volume of a target blood vessel. The method may include acquiring a temporal sequence of angiography images of the target blood vessel after a contract agent is injected in the target blood vessel. The method may further include identifying a region of interest containing the target blood vessel, by a processor, in each angiography image in the temporal sequence of angiography images. The method may also include integrating, by the processor, pixel values in each region of interest, and determining the lumen volume, by the processor, based on the integrated values of the regions of interest and a predetermined correlation between the integrated values and volumes of the contrast agent.

A method for performing magnetic resonance fingerprinting includes acquiring a plurality of MR image datasets using at least two pulse sequence types, the plurality of MR image datasets representing signal evolutions for image elements in a region of interest, comparing the plurality of MR image datasets to a dictionary of signal evolutions to identify at least one parameter of the MR image datasets and generating a report indicating the at least one parameter of the MR image datasets.

An image capturing apparatus sets reference values for a plurality of evaluation indexes and captures images of affected regions for the evaluation indexes, based on user's operation. An image processing apparatus analyzes the captured images and determines the affected region(s) for the evaluation index(es) exceeding the associated reference value(s) set by the user. The image capturing apparatus causes a display unit to highlight the affected region(s) for the evaluation index(es) exceeding the associated reference value(s) and superposes (displays) the affected region(s) on the image of an affected region.

A system for monitoring the movement of objects, structures, models of structures, cables and the like provides for the acquisition of images with an optical sensing device such as a video camera fixedly mounted at a selected distance from the item studied, in which the images are arranged into frames divided into pixels which are characterized by an intensity reflected or emitted over a selected time interval, and a data processing system to calculate a physical displacement as function of time of the item being studied or a portion of the item being studied based on an output from the video camera, and in some embodiments the system visually distinguishes one or more locations in the frame to indicate a difference in the phase of motion for multiple objects appearing in the frame.

Compositions and methods for improved cell-based methods of characterizing botulinum neurotoxins are provided. Cells utilized in these methods include a reporting construct that is cleaved following uptake and processing of botulinum neurotoxin by the cell, resulting in proteolysis of the portion of the reporting construct that is released following cleavage. The released portion includes a fluorophore and amino acid substitutions or sequences that enhance the rate of proteolysis. A pair of reporting constructs can be utilized in which one member of the pair is modified to resist cleavage by the botulinum neurotoxin while co-localizing with the remaining member of the pair.

A computer-implemented method for checking the correct alignment of a hip prosthesis, includes: detecting a 3D model of the pelvic bone of a patient in a preoperative phase detecting at least one 2D image of the pelvic bone in post-implant situation, selecting an image of the 3D model according to a first inclination thereof and detecting a reference element on said selected image of the 3D model, identifying a plurality of reference points on the 2D image, superimposing the 2D image on said selected image of the 3D model, checking the correct superimposition and correspondence of the reference points of the 2D image with the reference element with said image of the 3D mode, and detecting possible differences in the positioning of the pelvic bone in post-implant configuration with respect to the preoperative situation.

Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit configured to receive, from an ultrasound imaging device, a sequence of input image frames of a moving object over a time period, wherein the moving object comprises at least one of an anatomy of a patient or a medical device traversing through the patient's anatomy, and wherein a portion of the moving object is at least partially invisible in a first input image frame of the sequence of input image frames; apply a recurrent predictive network to the sequence of input image frames to generate segmentation data; and output, to a display, a sequence of output image frames based on the segmentation data, wherein the portion of the moving object is fully visible in a first output image frame of the sequence of output image frames.

For each of a plurality of time frames in the scan session for producing acoustic images of an area of interest, including a cervix, a system and method: construct (1520) a three dimensional volume of the area of interest from one or more image signals and the inertial measurement signal; apply (1530) a deep learning algorithm to the constructed three dimensional volume of interest to qualify an image plane for obtaining a candidate cervical length for the cervix; perform (1540) image segmentation and object detection for the qualified image plane to obtain the candidate cervical length. The shortest candidate cervical length from the plurality of time frames is selected as the measured cervical length for the scan session. A display device (116) displays an image of the cervix corresponding to the measured cervical length for the scan session, and an indication of the measured cervical length for the scan session.

Disclosed is a method for analyzing a lesion based on a medical image, which is performed by a computing device. The method may include: obtaining positional information of a suspicious nodule which exists in the medical image; generating a mask for the suspicious nodule based on a patch of the medical image corresponding to the positional information; and determining a class for a state of the suspicious nodule based on the patch of the medical image and the mask for the suspicious nodule.

A method for dynamic physiological characteristic region capturing includes: detecting a human body and generate thermal images with continuous time-sequence data; detecting the thermal images and locate a skeleton from one thermal images; based on the skeleton to capture a nose and a human face, the human face is set as an ROI is further divided into image blocks; relating the image blocks to the thermal images; based on variation of temperature information in continuous time-sequence data for the image blocks to divide the image blocks into the first and the second frequency variation blocks; and, analyzing the temperature information in the continuous time-sequence data to the first and the second frequency variation blocks to obtain different physiological information of the human body. In addition, a system for the same is also provided.