A method comprises providing a current state image and at least one reference image, taken from a similar angle range. The image and the at least one reference image are superimposed and a visual representation visualizing the relation between the image and the reference image is provided in order to track displacements of the bone during subsequent operation steps. A system is provided which can use the image data to track displacements and determine deviation from a current state of the elements in question to a target state.

A method for manufacturing a model of an anatomical feature comprises utilizing a stereographic digital image camera at a plurality of different vantage points relative to a reference anatomical feature to capture a plurality of three dimensional digital image pairs of a corresponding plurality of external surface portions of the reference anatomical feature including concavities and convexities of complex anatomical surfaces, and processing the plurality of three dimensional digital image pairs to produce a three dimensional digital surface image of the reference anatomical feature and a corresponding data file. A modified three dimensional digital surface image and corresponding modified data file may be produced by utilizing one or more of selecting a portions of said three dimensional digital surface image, scaling the three dimensional digital surfaced image, and generating a mirror image of the three dimensional digital surface image.

A stress prediction device for predicting mechanical stress exerted to a deformable object due contact between the object and an external device that is to be inserted into the object at an intended insertion position comprises a segmentation unit configured to access generic model data representing a generic reference object that comprises predefined secondary landmark features at predefined landmark positions, which are not identifiable using a predefined imaging technique, and pre-insertion object image data acquired using the imaging technique. It provides segmented object model data which comprises associated mapped landmark position data indicative of mapped landmark positions of the secondary landmark features. A stress determination unit determines and provides predictive stress information indicative of mechanical stress exerted to at least one of the secondary landmark features at the associated mapped landmark position due to mechanical contact between the object and the external device.

When performing model-based segmentation on a 3D patient image (80), metal artifacts in the patient image (80), caused by metal in the patient's body, are detected, and a metal artifact reduction technique is performed to reduce the artifact(s) by interpolation projection data in the region of the artifact(s). The interpolated data is used to generate an uncertainty map for artifact-affected voxels in the image, and a mesh model (78) is conformed to the image to facilitate segmentation thereof. Internal and external energies applied to push and pull the model (78) are weighted as a function of the uncertainty associated with one or more voxels in the image (80). Iteratively, mathematical representations of the energies and respective weights are solved to describe an updated model shape that more closely aligns to the image (80).

Disclosed is a system for assisting in guiding and performing a procedure on a subject. The subject may be any appropriate subject such as inanimate object and/or an animate object. The guide and system may include various manipulable or movable members and may be registered to selected coordinate systems.

The invention relates to a process for identification of an implant, optionally worn by an individual, comprising the following steps, performed by a processing unit:

obtaining a radiographic input image in which a dental implant is visible;

classification of a region of interest of said radiographic image by means of at least one convolutional neural network; said classification producing a list of candidate implants to be the implant visible on the image, the list being ordered as a function of a probability of being the implant visible on the image.

A system and method for measuring an area of interest such as a hernia defect within a body cavity, in which real time image data is captured at a treatment site that includes the area of interest. Computer vision is applied to identify the extents of the area of interest within images captured using the camera, and dimensions of the area of interest are measured using the image data. The user is given output, which may include recommendations of hernia mesh shape/size and or positioning, based on the measured dimensions.

The current subject matter provides a tool for evaluating the risk of failure or the likelihood of success of surgery of healing ligaments and tendons in the body. In some embodiments, a region of a scan comprising one or more of an anterior cruciate ligament (ACL) or an ACL graft can be defined. A magnetic resonance (MR) imaging data set can be obtained. MR parameters characterizing a size and a quality of the ACL or ACL graft can be derived using the MR data. The MR parameters can be used as inputs to a predictive model. A score characterizing a likelihood of failure of the ACL or ACL graft in a human patient can be generated using the predictive model.

A system for intra-operatively registering a pelvis comprising an acetabulum with a computer model of the pelvis in a coordinate system. The system may include: a) a surgical navigation system including a tracking device; and b) at least one computing device in communication with the surgical navigation system. The at least one computing device: i) receiving first data points from first intra-operatively collected points on an articular surface of the acetabulum, the first data points collected with the tracking device; ii) receiving a second data point from a second intra-operatively collected point on the pelvis, the second data point collected with the tracking device, the second data point corresponding in location to a second virtual data point on the computer model; and iii) determining an intra-operative center of rotation of the femur relative to the pelvis from the first data points.

Disclosed are example embodiments of methods and systems for identifying and quantifying manufacturing defects of a manufactured dental prosthesis. Certain embodiments of the system for performing quality control on manufactured dental prostheses includes: a quality control module configured to determine whether the dental prosthesis is a good or a defective product based at least on a differences model generated by comparing a design model and a scanned model of the manufactured dental prosthesis.