G06T2210/41

TOMOGRAPHIC IMAGING APPARATUS, TOMOGRAPHIC IMAGING METHOD, IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM

A alteration caused in a nerve fiber layer could not accurately be displayed. There is provided a tomographic imaging apparatus including a generation means for generating a nerve fiber bundle map, a designation means for designating an arbitrary nerve fiber bundle in the nerve fiber bundle map, and a display control means for causing display means to display a parameter of the designated nerve fiber bundle.

MEDICAL IMAGE EDITING

The present invention relates to medical image editing. In order to facilitate the medical image editing process, a medical image editing device (50) is provided that comprises a processor unit (52), an output unit (54), and an interface unit (56). The processor unit (52) is configured to provide a 3D surface model of an anatomical structure of an object of interest. The 3D surface model comprises a plurality of surface sub-portions. The surface sub-portions each comprise a number of vertices, and each vertex is assigned by a ranking value. The processor unit (52) is further configured to identify at least one vertex of vertices adjacent to the determined point of interest as an intended vertex. The identification is based on a function of a detected proximity distance to the point of interest and the assigned ranking value. The output unit (54) is configured to provide a visual presentation of the 3D surface model. The interface unit (56) is configured to determine a point of interest in the visual presentation of the 3D surface model by interaction of a user. The interface unit 56 is further configured to modify the 3D surface model by displacing the intended vertex by manual user interaction. In an example, the output unit (54) is a display configured to display the 3D surface model directly to the user (58).

SYSTEM AND METHOD FOR RECONSTRUCTING A COMPUTED TOMOGRAPHY IMAGE

A method for reconstructing an image may include obtaining scan data relating to a subject. The method may also include determining a first field of view (FOV) and determining a second FOV. The method may further include reconstructing a first image based on a first portion of the scan data corresponding to the first field of view, and reconstructing a second image based on a second portion of the scan data corresponding to the second field of view. The method may also include generating a third image based on the first image and the second image.

OBJECT INFORMATION OBTAINING DEVICE, DISPLAY METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
20180010957 · 2018-01-11 ·

An object information obtaining device includes a light source which emits light, an acoustic wave detecting unit which detects a photoacoustic wave generated by irradiation of an object with the light, and outputs an electric signal in response to detection of the photoacoustic wave, and a processing unit configured to perform two or more types of processing to photoacoustic signal data based on the electric signal to obtain object information corresponding to each of the two or more types of processing, and to display on a display unit the object information corresponding to at least one processing selected by a user out of the two or more types of processing.

FINITE ELEMENT MODELING OF ANATOMICAL STRUCTURE

A system and method is provided for generating a finite element (FE) model of an anatomical structure based on a fitted model (340) of the anatomical structure and association data. A segmentation model (310) may be provided for segmenting the anatomical structure. Association data may be obtained which associates a segmentation model part (315) of the segmentation model (310) with a mesh property, the segmentation model part (315) representing a pre-determined anatomical region of interest. The segmentation model may be applied to a medical image (320) of a subject, thereby obtaining a fitted model (340) providing a segmentation of the anatomical structure (330). The finite element model (350) may then be generated based on the fitted model (340) and the association data, said generating comprising meshing a finite element model part of the finite element model in accordance with the mesh property, the finite element model part corresponding with the pre-determined anatomical region of interest. Advantageously, this may result in an efficient generation of the FE model needing fewer manual iterations and/or alterations in the model or in the mesh.

Method for Using a Physical Object to Manipulate a Corresponding Virtual Object in a Virtual Environment, and Associated Apparatus and Computer Program Product
20180008355 · 2018-01-11 · ·

Systems and methods are provided for planning a procedure. A display device is configured to display a first virtual element. A controller device having a processor is configured to be in communication with the display device, and the controller device is further configured to direct the display device to display the first virtual element. A physical control element is in communication with the controller device, and is configured to correspond to the first virtual element such that an actual manipulation of the control element is displayed, via the processor of the controller device and on the display device, as a corresponding response of the first virtual element to the actual manipulation of the control element. Associated systems, methods, and computer program products are also provided.

Systems and methods for evaluating and reducing negative dysphotopsia

Systems and methods for evaluating ND are described herein. An example method can include constructing a non-sequential (NSC) ray-tracing model of an eye with an ophthalmic lens, and modelling a light source and a detector. The detector can be configured to mimic a retina of the eye. The method can also include computing irradiance data using the light source, the NSC ray-tracing model, and the detector. Irradiance data can be computed for each of a plurality of pupil sizes. The method can further include evaluating ND by analyzing the respective irradiance data for each of the pupil sizes. Also described herein are methods for designing an ophthalmic lens edge that reduces the incidence of ND for a given ophthalmic lens by adjusting the edge thickness and/or the scatter.

SURGEON HEAD-MOUNTED DISPLAY APPARATUSES

An augmented reality surgical system includes a head mounted display (HMD) with a see-through display screen, a motion sensor, a camera, and computer equipment. The motion sensor outputs a head motion signal indicating measured movement of the HMD. The computer equipment computes the relative location and orientation of reference markers connected to the HMD and to the patient based on processing a video signal from the camera. The computer equipment generates a three dimensional anatomical model using patient data created by medical imaging equipment, and rotates and scales at least a portion of the three dimensional anatomical model based on the relative location and orientation of the reference markers, and further rotate at least a portion of the three dimensional anatomical model based on the head motion signal to track measured movement of the HMD. The rotated and scaled three dimensional anatomical model is displayed on the display screen.

Systems and methods for controlling imaging

A method for controlling a medical device may be provided. The method may include obtaining, via one or more cameras, first data regarding a first motion of a subject in an examination space of the medical device. The method may include obtaining, via one or more radars, second data regarding a second motion of the subject. The method may further include generating, based on the first data and the second data, a control signal for controlling the medical device to scan at least a part of the subject.

Systems and methods for modeling spines and treating spines based on spine models

Disclosed are systems and methods for rapid generation of simulations of a patient's spinal morphology that enable pre-operative viewing of a patient's condition and to assist surgeons in determining the best corrective procedure and with any of the selection, augmentation or manufacture of spinal devices based on the patient specific simulated condition. The simulation is generated by morphing a generic spine model with a three-dimensional curve representation of the patient's particular spinal morphology derived from existing images of the patient's condition.