Zhang et al., 2024 - Google Patents
A spatial registration method based on 2D–3D registration for an augmented reality spinal surgery navigation systemZhang et al., 2024
- Document ID
- 11031692337785319645
- Author
- Zhang J
- Yang Z
- Jiang S
- Zhou Z
- Publication year
- Publication venue
- The International Journal of Medical Robotics and Computer Assisted Surgery
External Links
Snippet
Background In order to provide accurate and reliable image guidance for augmented reality (AR) spinal surgery navigation, a spatial registration method has been proposed. Methods In the AR spinal surgery navigation system, grayscale‐based 2D/3D registration technology …
- 238000000034 method 0 title abstract description 56
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
-
- 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
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
-
- 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
- G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ma et al. | Augmented reality surgical navigation with ultrasound-assisted registration for pedicle screw placement: a pilot study | |
| TWI836491B (en) | Method and navigation system for registering two-dimensional image data set with three-dimensional image data set of body of interest | |
| Müller et al. | Mobile augmented reality for computer-assisted percutaneous nephrolithotomy | |
| Zhang et al. | A markerless automatic deformable registration framework for augmented reality navigation of laparoscopy partial nephrectomy | |
| CN113573641A (en) | Spatial registration of a tracking system with images using 2D image projection | |
| Dumenil et al. | A versatile intensity-based 3D/2D rigid registration compatible with mobile C-arm for endovascular treatment of abdominal aortic aneurysm | |
| Wen et al. | Projection-based visual guidance for robot-aided RF needle insertion | |
| Lee et al. | Medical augment reality using a markerless registration framework | |
| Chang et al. | Registration of 2D C‐arm and 3D CT images for a C‐arm image‐assisted navigation system for spinal surgery | |
| Ma et al. | 3D visualization and augmented reality for orthopedics | |
| Russakoff et al. | Intensity-based 2D-3D spine image registration incorporating a single fiducial marker1 | |
| Pawiro et al. | Validation for 2D/3D registration I: A new gold standard data set | |
| Zhang et al. | A spatial registration method based on 2D–3D registration for an augmented reality spinal surgery navigation system | |
| Van De Kraats et al. | Noninvasive magnetic resonance to three-dimensional rotational X-ray registration of vertebral bodies for image-guided spine surgery | |
| Hamming et al. | Automatic image‐to‐world registration based on x‐ray projections in cone‐beam CT‐guided interventions | |
| Modrzejewski et al. | Soft-body registration of pre-operative 3D models to intra-operative RGBD partial body scans | |
| Xie et al. | Image-guided navigation system for minimally invasive total hip arthroplasty (MITHA) using an improved position-sensing marker | |
| Gendrin et al. | Validation for 2D/3D registration II: the comparison of intensity‐and gradient‐based merit functions using a new gold standard data set | |
| Liu et al. | 2D–3D radiograph to cone-beam computed tomography (CBCT) registration for C-arm image-guided robotic surgery | |
| Fotouhi et al. | Automatic intraoperative stitching of nonoverlapping cone‐beam CT acquisitions | |
| Van der Bom et al. | Robust initialization of 2D‐3D image registration using the projection‐slice theorem and phase correlation | |
| Fotouhi et al. | Reconstruction of orthographic mosaics from perspective x-ray images | |
| Chen et al. | Automated global optimization surface-matching registration method for image-to-patient spatial registration in an image-guided neurosurgery system | |
| Speers et al. | Fast and accurate vision‐based stereo reconstruction and motion estimation for image‐guided liver surgery | |
| Geurten et al. | Endoscopic laser surface scanner for minimally invasive abdominal surgeries |