A method, user device, and system for displaying augmented anatomical features is disclosed. The method includes detecting a target individual, displaying a visual representation of the body, and determining an anatomical profile of the target individual based on a plurality of reference markers. The method further includes displaying, on the display, a graphical representation of the inner anatomical features onto the visual representation of the body so as to assist in the identification of the inner anatomical features. In another aspect, an initial three-dimensional representation of the body is mapped and a preferred anatomical profile is determined based upon the reference markers. The initial three-dimensional representation of the body is modified to be the shape of the preferred anatomical profile and displayed.

An information processing apparatus includes a bone part image generation unit that generates a bone part image in which a bone part of a subject is highlighted, from a first radiographic image and a second radiographic image acquired by radiation having different energy distributions transmitted through the subject, a bone mineral content derivation unit that derives a bone mineral content for each pixel of the bone part image, and a postoperative information derivation unit that, based on a bone mineral content around an artificial object implanted in the bone part of the subject, derives information indicating a state of the bone part of the subject after the artificial object is implanted in the bone part of the subject, as postoperative information.

A system for providing surgical planning and guidance with three-dimensional visualization is disclosed. In particular, the system obtains an image set of an anatomy of interest of a subject, and renders the image set on a user interface using volume rendering. Notably, the system accomplishes the foregoing without generating surface models or conducting bone contouring. The system may, during generation of an implant plan for implanting an implant onto the anatomy of interest, suggest landmark points in the volume rendered image set. Once the landmark points are confirmed, the system may facilitate implant positioning via implant controls. The system conducts a registration process to confirm a match between the physical anatomy of interest and the information contained in volume-rendered image set in the plan. If there is a match, the system may facilitate performance of a surgical procedure for implanting the implant onto the anatomy of interest of the subject.

The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.

Technologies for determining the accuracy of three-dimensional models include a device having circuitry to obtain two-dimensional images of an anatomical object (e.g., a bone of a human joint), to obtain a candidate three-dimensional model of the anatomical object, and to produce two-dimensional silhouettes of the candidate three-dimensional model. The circuitry is also to apply an edge detection algorithm to the two-dimensional images to produce corresponding edge images and to compare the two-dimensional silhouettes to the edge images to produce a score indicative of an accuracy of the candidate three-dimensional model.

A registration system including a bone pin guide and a bone pin clamp. The bone pin guide may include a guide body, a first guide including a first guide through-hole having a first longitudinal axis, and a second guide including a second guide through-hole having a second longitudinal axis. The bone pin guide may guide first and second bone pins into a bone via the first and second guides. The bone pin clamp may include a clamp body, first, second, and third clamp through-holes extending through the clamp body, a plurality of registration indents defined on the clamp body, and a clamping mechanism including at least one adjustable fastener. The bone pin clamp may receive the first and second bone pins in the first and third clamp through-holes and guide a third bone pin into the bone via the second clamp through-hole.

A system for determining accuracy of a surgical procedure to implant an implant on a patient bone. The system including at least one computing device configured to perform the following steps. Receive preoperative patient data including preoperative images of the patient bone and planned implant position and orientation data. Receive postoperative patient data including postoperative images of the patient bone and an implant implanted on the patient bone. Segment the patient bone and the implant from the postoperative images of the patient bone and the implant. Register separately the patient bone and the implant from the postoperative images to the patient bone from the preoperative images. And compare an implanted position and orientation of the implant from the postoperative images relative to the patient bone from the preoperative images to the planned implant position and orientation data relative to the patient bone from the preoperative images.

A camera tracking system for computer assisted navigation during surgery. The camera tracking system includes a processor operative to receive streams of video frames from tracking cameras which image a plurality of physical objects arranged as a reference array. For each of the physical objects imaged in a sequence of the video frames, that processor determines a set of coordinates for the physical object over the sequence of the video frames. For each of the physical objects, the processor generates an arithmetic combination of the set of coordinates for the physical object. The processor generates an array template identifying coordinates of the physical objects based on the arithmetic combinations of the sets of coordinates for the physical objects, and tracks pose of the physical objects of the reference array over time based on comparison of the array template to the reference array imaged in the streams of video frames.

Certain embodiments provide a system for calibrating an X-ray image. The system may receive an X-ray image of an anatomical part of a patient. The system may further receive a 3-D surface scan of a surface of the patient where the anatomical part is located. The system may derive a measurement correction to apply to measurements of the X-ray image based on the 3-D surface scan. The measurement correction may account for: an orientation of the patient with respect to the X-ray detector plate, a first distance between the patient and the detector plate, or a second distance between the patient and an X-ray source used to generate the X-ray image. The system may further determine a corrected measurement of the anatomical part based on the measurement correction and a measurement taken from the X-ray image.

A tooth restoration method and a tooth restoration system are provided. The tooth restoration method includes: configuring a control module to obtain an image and tooth characteristic information of teeth through an image capturing module; configuring the control module to calculate and generate a characteristic parameter of the target tooth according to the image and the tooth characteristic information, and generate a 3D restoration file of the target tooth according to the characteristic parameter; configuring the control module to calculate and generate color information and candidate filling materials of the target tooth according to the image, the 3D restoration file and the filling material database, and compare the candidate filling materials with the characteristic parameter and the color information of the target tooth to generate a selected filling material matching the target tooth; and restoring the target tooth based on the selected filling material through a prosthetic technique.