In a method for performing a magnetic resonance measurement of an organ structure of a patient using a magnetic resonance imaging system adapted to the imaging of the organ structure: a correct positioning of the organ structure of the patient is ascertained, a correct positioning of the magnetic resonance imaging system with regard to the positioning of the organ structure of the patient is ascertained, a magnetic resonance scanning protocol is selected, a spatial coverage of the magnetic resonance measurement with regard to the organ structure to be imaged is adjusted, and the magnetic resonance measurement is performed to acquire magnetic resonance image data of the organ structure.

Provided herein are platforms and methods for mapping a three-dimensional (3D) dental anatomy of a subject.

A method for alignment of volumetric and surface scan images, said method comprising the steps of: receiving a volumetric image and surface scan image, wherein the volumetric image is a three-dimensional voxel array of a maxillofacial anatomy of a patient and the surface scan image is a polygonal mesh corresponding to the maxillofacial anatomy of the same patient; segmenting the volumetric image and surface scan image into a set of distinct anatomical structures by assigning each voxel in the volumetric image an identifier by structure and assigning each vertex or face of the mesh from the surface scan image an identifier by structure, wherein at least one of the distinct anatomical structures are in common between the volumetric and the surface scan image; extracting a polygonal mesh from the volumetric image featuring common structures with the polygonal mesh from the surface scan image; converting both meshes from the volumetric image and from the surface scan to a point cloud; and aligning the converted meshes via point clouds using a point set registration.

Various methods and systems for designing a restored smile are provided. One method includes receiving scan data of a patient's teeth, developing a digital model of the patient's teeth via a computing device, where the model represents the patient's teeth based upon the scan data, creating a dental treatment plan to restore one or more teeth from an initial condition to a successive condition, and wherein a final condition of the one or more is based on the one or more teeth having at least one planned additional restorative tooth structure provided therewith.

A computer-implemented method for correction of a voxel representation of metal affected x-ray data. The method comprises a first 3D deep neural network receiving an initial voxel representation of x-ray data at its input and generating a voxel map at its output, the map identifying voxels of the initial voxel representation that belong to a region of voxels that are affected by metal. A second 3D deep neural network receives the initial voxel representation and the map generated by the first 3D deep neural network at its input and generating a corrected voxel representation, the corrected voxel representation including voxel estimations for voxels that are identified by the voxel map as being part of a metal affected region, the first 3D deep neural being trained on the basis of training data and reference data that include voxel representations of clinical x-ray data of a predetermined body part of a patient.

Methods and systems for manufacturing an orthodontic appliance with an object incorporated in a surface thereof comprising: acquiring a preliminary appliance 3D digital model; acquiring an object 3D digital model; obtaining a desired coupling location of the object on the orthodontic appliance; positioning the object 3D digital model onto a surface of the preliminary appliance 3D digital model based on the obtained coupling location; causing an initial predetermined degree of penetration; merging the object 3D digital model with the preliminary appliance 3D digital model to generate an appliance 3D digital model of the orthodontic appliance with the object incorporated in the surface; and storing the appliance 3D digital model in an internal memory of the electronic device.

In one aspect of the present application, there is provided a computer-implemented method for generating a digital data set representing a target tooth arrangement, the method comprises: obtaining a first and a second 3D digital models respectively representing upper jaw teeth and lower jaw teeth under an initial tooth arrangement, where the first and the second 3D digital models are in a predetermined relative position relationship; extracting features from the first and the second 3D digital models; generating a first digital data set representing a target tooth arrangement of the upper jaw teeth and the lower jaw teeth based on the extracted features using a trained recurrent neural network based deep learning neural network.

A method of selecting a color metric value for a body part includes capturing an image of the body part, creating a pixel map of the captured image, performing pre-processing techniques to the pixel map, the preprocessing techniques creating a processed image matrix, determining a first color metric value for the processed image matrix, adjusting the first color metric value to an updated color metric value, displaying the updated color metric value on an electronic device screen, receiving an indication from the user of acceptance or rejection of the updated color metric value, and based on receiving a rejection indication, adjusting the updated color metric value. A non-transitory computer readable medium and a system to implement the method are also disclosed.

An electronic device of the present disclosure is configured to acquire first scan data by a first scan performed by a three-dimensional scanner to scan an oral cavity of a subject, acquire second scan data by a second scan performed by the three-dimensional scanner to scan an impression model modeled on the oral cavity of the subject, invert one of the first scan data and the second scan data, determine whether an overlapping area exists between inverted scan data and non-inverted scan data, among the first scan data and the second scan data, and generate, if the overlapping area exists, a three-dimensional image model for the oral cavity of the subject by aligning the inverted scan data and the non-inverted scan data based on the overlapping area.

A computer system and method for intelligent diagnosis are provided. The system comprises at least one processor and a memory storing instructions which when executed by the processor configure the processor to perform the method. The method comprises receiving an initial appoint request, receiving a first scanning appointment request, sending a movable practice to patient location, receiving scanning data, and sending the scanning data to remote server for processing.