Provided in the present application are a magnetic resonance imaging system, a positioning method of an implant therefor, and a non-transitory computer-readable storage medium. The positioning method of the implant for the magnetic resonance imaging system includes: executing a first scanning sequence to obtain original image data and reconstructing an edge image of the implant on the basis of the original image data. The first scanning sequence includes: a radio frequency excitation pulse and a first layer selection gradient pulse corresponding to the radio frequency excitation pulse, the frequency of the radio frequency excitation pulse having a preset offset relative to a center frequency; and a radio frequency refocusing pulse and a second layer selection gradient pulse corresponding to the radio frequency refocusing pulse, the direction of the second layer selection gradient pulse being opposite to the direction of the first layer selection gradient pulse.

According to some embodiments, the process includes the steps of: a) taking a sagittal preoperative x-ray of the vertebral column of the patient to be treated, extending from the cervical vertebrae to the femoral heads; b) on that x-ray, identifying points on S1, S2, T12 et C7; c) depicting, on the said x-ray, curved segments beginning at the center of the plate of Si et going to the center of the plate of C7; e) identifying, on that x-ray, the correction(s) to be made to the vertebral column, including the identification of posterior osteotomies to make; f) pivoting portions of said x-ray relative to other portions of that x-ray, according to osteotomies to be made; g) performing, on said x-ray, a displacement of the sagittal curvature segment extending over the vertebral segment to be corrected; h) from a straight vertebral rod (TV), producing the curvature of that rod according to the shape of said sagittal curvature segment in said displacement position.

Training a CNN with pseudo ground truth for CT artifact reduction is described. An estimated ground truth apparatus is configured to generate an estimated ground truth image based, at least in part, on an initial CT image that includes an artifact. Feature addition circuitry is configured to add a respective feature to each of a number, N, copies of the estimated ground truth image to create the number, N, initial training images. A computed tomography (CT) simulation circuitry is configured to generate a plurality of simulated training CT images based, at least in part, on at least some of the N initial training images. An artifact reduction circuitry is configured to generate a plurality of input training CT images based, at least in part, on the simulated training CT images. A CNN training circuitry is configured to train the CNN based, at least in part, on the input training CT images and based, at least in part, on the initial training images.

A method for providing a replica masturbation device is disclosed. Users upload images of their body parts, and other users use data sets generated based on these images to produce replica masturbation devices of the user's body parts.

Disclosed herein are systems and methods for enhancement of objects of interest in medical images.

Disclosed herein is a multi-modal imaging methodology for creating patient-specific three-dimensional images of a breast volume, for use in the production of breast implants. In one aspect, a surface imaging technique may be used to create a three-dimensional model of an external shape of a patient, such as the external morphology of a breast. In one aspect, an internal imaging technique may be used to create a three-dimensional model of the internal shape of the thorax underneath the breast. The external and internal models may then be referenced to one another and a unified model may be created to generate a reliable, personalized model of breast volume.

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.

Provided is an evaluation method including evaluating accuracy of a model containing a hydrogel with respect to an organism based on organism shape information representing an organism shape obtained by capturing an image of the organism by MRI and model shape information representing a model shape obtained by capturing an image of the model by MRI.

A method of generating a template image includes: receiving an input from a user representing identifications of an object in different respective slices of a volumetric image; using the input to determine a volume-of-interest (VOI) that includes voxels in a subset of the volumetric image; and determining the template image using at least some of the voxels in the VOI, wherein the act of determining the template image comprises performing a forward projection of the at least some of the voxels in the VOI using a processor. An image processing method includes: obtaining a volumetric image; performing forward projection of voxels in the volumetric image from different positions onto a first plane using a processor; and summing projections on the first plane resulted from the forward projection from the different positions to create a first image slice in the first plane.

The disclosure relates to stent detection and shadow detection in the context of intravascular data sets obtained using a probe such as, for example, and optical coherence tomography probe or an intravascular ultrasound probe.