Аврунін et al., 2019 - Google Patents
Planning Method for Safety Neurosurgical and Computed Tomography Contrast-Data Set VisualizationАврунін et al., 2019
View PDF- Document ID
- 17211723501003601215
- Author
- Аврунін
- Хушам
- Publication year
External Links
Snippet
Анотація Discussed the issues' associated with the development of a computed neurosurgery planning system. An important part is to determine the value of invasive surgical access. The study purpose is to design a methodology for finding the shortest …
- 238000002591 computed tomography 0 title abstract description 54
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/08—Volume rendering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20092—Interactive image processing based on input by user
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/41—Medical
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
- G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11744465B2 (en) | Method and program for generating three-dimensional brain map | |
US10255723B2 (en) | Planning, navigation and simulation systems and methods for minimally invasive therapy | |
Uherčík et al. | Model fitting using RANSAC for surgical tool localization in 3-D ultrasound images | |
CN107067398B (en) | Completion method and device for missing blood vessels in three-dimensional medical model | |
US20130222415A1 (en) | Calculation of a medical image using templates | |
US10592581B2 (en) | Method for inverse trajectory planning | |
WO2008030192A1 (en) | Detection and localization of vascular occlusion from angiography data | |
CN110910342B (en) | Analysis of skeletal trauma by using deep learning | |
CN113614781A (en) | System and method for identifying objects in an image | |
US8938107B2 (en) | System and method for automatic segmentation of organs on MR images using a combined organ and bone atlas | |
Navkar et al. | Visualization and planning of neurosurgical interventions with straight access | |
KR20150080820A (en) | Apparatus and Method for indicating region of interest | |
US11398035B2 (en) | Partitioning a medical image | |
Egger et al. | RFA-cut: Semi-automatic segmentation of radiofrequency ablation zones with and without needles via optimal st-cuts | |
Saied et al. | Planning Method for Safety Neurosurgical and Computed Tomography Contrast-Data Set Visualization | |
US20210145372A1 (en) | Image acquisition based on treatment device position | |
Аврунін et al. | Planning Method for Safety Neurosurgical and Computed Tomography Contrast-Data Set Visualization | |
EP3227859B1 (en) | Atlas-based position determination of a brain sulcus | |
Avrunin | Ismail Saied H F.“Planning Method for Safety Neurosurgical and Computed Tomography Contrast-Data Set Visualization” | |
Alpers et al. | CT-Based Navigation Guidance for Liver Tumor Ablation. | |
Peng et al. | Clinical significance of creative 3D-image fusion across [CT+ MR] modalities based on approach of characteristic co-registration | |
Shahidi et al. | Proposed simulation of volumetric image navigation using a surgical microscope | |
Avrunin et al. | Neurosurgery and Neurology Research | |
Alakuijala | Algorithms for modeling anatomic and target volumes in image-guided neurosurgery and radiotherapy | |
Soza | Registration and simulation for the analysis of intraoperative brain shift |