Abstract: The invention discloses a computer-implemented method for determining at least one removable orthodontic appliance. The method comprises obtaining a digital impression of at least part of a dentition of a patient; obtaining, based on the digital impression, at least one characteristic relating to at least one tooth; comparing the at least one characteristic with corresponding characteristics associated with a set of predefined removable orthodontic appliances; and determining at least one suitable removable orthodontic appliance among the set of predefined, removable orthodontic appliances based on the comparison.

Abstract: A stereolithography apparatus comprises a fixed vat (401) or a holder for receiving a removable vat for holding resin for use in a stereolithographic 3D printing process, an optical radiator (901) configured to project a pattern upon a portion of said vat (401), an optical imaging detector *501 (field of view, installed and directed so that said portion of said vat (401) and/or a surface onto which the projected pattern is reflected—is within said field of view when said optical imaging detector (501) is in an operating position, and a controller (502, 2001) coupled to said optical imaging detector (501) for receiving optical image data from said optical imaging detector (501). Said controller (502, 2001) is configured to use said optical image data to calculate an amount of resin in said vat (401).

Abstract: The invention relates to tracking pieces (110) used in the context of tracking movements of hard tissue of a jaw. According to the invention, a tracking piece (110) to be used in such context is designed to be patient-specific by including in the design of the tracking piece (110) a surface model representing a part of a person's intraoral anatomy, which surface model is generated based on imaging results acquired by imaging the anatomy.

Abstract: A radiation-delivery treatment plan includes a first value for a limit as pertains to motion compensation-based adjustment of a radiation-delivery parameter during a first portion of a radiation treatment session as well as a second value for that same limit during a second, different portion of the treatment session. By one approach, the radiation-delivery treatment plan selects between this first and second value as a function of a preselected parameter. Examples of such parameters include, but are not limited to, radiation-beam orientation parameters (such as a gantry-based parameter) and/or any of a variety of external surrogates.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of manual or automatic contouring across linked (e.g., registered) images and image data sets by acquiring one or more images of one or more image data sets; determining the correlation between the images with respect to identified structures; and generating a deformation map that establishes a correspondence for each point in the source image with a point in the target image. Subsequently, the intelligent propagation mechanism applies this deformation map individually to each structure of the source image and propagates the deformed structure to the target image.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of manual or automatic contouring across linked (e.g., registered) images and image data sets by acquiring one or more images of one or more image data sets; determining the correlation between the images with respect to identified structures; and generating a deformation map that establishes a correspondence for each point in the source image with a point in the target image. Subsequently, the intelligent propagation mechanism applies this deformation map individually to each structure of the source image and propagates the deformed structure to the target image.

Abstract: The invention relates to tracking motion of a patient's jaw, wherein motion of a tracking item which represents motion of the jaw is followed by at least one camera arranged to a medical x-ray imaging apparatus and wherein the motion detected by the at least one camera is applied on a digital model depicting hard tissue of the jaw. The moving digital model of the hard tissue of the jaw thus generated is shown on a display to visualize movement of the hard tissue.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of real-time alterations across graphical structures of an image by mapping the relativity between the structures; determining the correlation between the structures and a manually edited structure; referencing a deformation map that maps a correspondence for each point in the original structure with a point in the edited structure and applying a similar relative change throughout the remaining structures in the image.

Abstract: The invention relates to tracking motion of a patient's jaw, wherein motion of a tracking item which represents motion of the jaw is followed by at least one camera arranged to a medical x-ray imaging apparatus and wherein the motion detected by the at least one camera is applied on a digital model depicting hard tissue of the jaw. The moving digital model of the hard tissue of the jaw thus generated is shown on a display to visualize movement of the hard tissue.

Abstract: Computer-implemented methods and apparati for graphically displaying deformations, said deformations defined by comparing a first image of an object (1) with a second image of the same or a different object (1). A method embodiment of the present invention comprises the steps of scanning an object (1) twice to produce first and second images; tabulating deformations and converting said tabulated deformations into a scalar property over a preselected range; quantizing the range into a set of discrete quantization intervals; assigning a unique color out of a discrete or quasi-continuous set of colors to each quantization interval to produce a color overlay; and simultaneously displaying the color overlay and a representation of at least one of the first and second images, whereby said deformations are readily viewable in color.

Abstract: The invention relates to tracking motion of a patient's jaw, wherein motion of a tracking item which represents motion of the jaw is followed by at least one camera arranged to a medical x-ray imaging apparatus and wherein the motion detected by the at least one camera is applied on a digital model depicting hard tissue of the jaw. The moving digital model of the hard tissue of the jaw thus generated is shown on a display to visualize movement of the hard tissue.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of real-time alterations across graphical structures of an image by mapping the relativity between the structures; determining the correlation between the structures and a manually edited structure; referencing a deformation map that maps a correspondence for each point in the original structure with a point in the edited structure and applying a similar relative change throughout the remaining structures in the image.

Abstract: The invention relates to tracking motion of a patient's jaw, wherein motion of a tracking item which represents motion of the jaw is followed by at least one camera arranged to a medical x-ray imaging apparatus and wherein the motion detected by the at least one camera is applied on a digital model depicting hard tissue of the jaw. The moving digital model of the hard tissue of the jaw thus generated is shown on a display to visualize movement of the hard tissue.

Abstract: The invention generally relates to generating digital dental panoramic images from multiple frame images acquired during a dental panoramic imaging scan about a patient's head. This generating includes using information of location and orientation of the x-ray beam and the x-ray detector at times when taking the frames in the procedure of summing information of the frames.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of real-time alterations across graphical structures of an image by mapping the relativity between the structures; determining the correlation between the structures and a manually edited structure; referencing a deformation map that maps a correspondence for each point in the original structure with a point in the edited structure and applying a similar relative change throughout the remaining structures in the image.

Abstract: The invention generally relates to generating digital dental panoramic images from multiple frame images acquired during a dental panoramic imaging scan about a patient's head. This generating includes using information of location and orientation of the x-ray beam and the x-ray detector at times when taking the frames in the procedure of summing information of the frames.

Abstract: Embodiments of the present invention are directed to methods and a mechanism for manipulating images generated by radiotherapy machines used in radiation diagnostic and treatment applications. In one embodiment, a method is provided for intelligent automatic propagation of manual or automatic contouring across linked (e.g., registered) images and image data sets by acquiring one or more images of one or more image data sets; determining the correlation between the images with respect to identified structures; and generating a deformation map that establishes a correspondence for each point in the source image with a point in the target image. Subsequently, the intelligent propagation mechanism applies this deformation map individually to each structure of the source image and propagates the deformed structure to the target image.

Abstract: These various embodiments access target information regarding a radiation-therapy treatment volume for a given patient as well as non-target information regarding at least one structure other than the radiation-therapy treatment volume that also comprises a part of the given patient. These embodiments then provide for accessing uncertainties information regarding spatial uncertainties as pertain to at least one of the target information and the non-target information and using that uncertainties information to characterize at least one radiation-therapy treatment plan optimization consideration with respect to a preference of usage to thereby provide preference considerations. These preference considerations are then used to influence a follow-on radiation-therapy treatment plan optimization process when developing a treatment plan for the radiation-therapy treatment volume.

Abstract: A radiation-delivery treatment plan includes a first value for a limit as pertains to motion compensation-based adjustment of a radiation-delivery parameter during a first portion of a radiation treatment session as well as a second value for that same limit during a second, different portion of the treatment session. By one approach, the radiation-delivery treatment plan selects between this first and second value as a function of a preselected parameter. Examples of such parameters include, but are not limited to, radiation-beam orientation parameters (such as a gantry-based parameter) and/or any of a variety of external surrogates.

Abstract: A method for radiation therapy treatment plan optimization, comprising generating a first radiation therapy treatment plan for a patient using a selected treatment type from a database and optimizing the first radiation therapy treatment plan. A selection of metrics from the first radiation therapy treatment plan are identified and compared to metrics from aggregated prior patient records selected from the database. At least one parameter is identified that affects the ability of the first radiation therapy treatment plan to meet an identified metric. The at least one parameter for the identified metric is compared to at least one parameter for a competing metric and at least one alternative treatment step for the treatment plan is determined that will change the identified at least one parameter to improve the identified metric.