Jailin et al., 2021 - Google Patents
Projection-based dynamic tomographyJailin et al., 2021
View PDF- Document ID
- 9547419688951167050
- Author
- Jailin C
- Roux S
- Sarrut D
- Rit S
- Publication year
- Publication venue
- Physics in Medicine & Biology
External Links
Snippet
Objective. This paper proposes a 4D dynamic tomography framework that allows a moving sample to be imaged in a tomograph as well as the associated space-time kinematics to be measured with nothing more than a single conventional x-ray scan. Approach. The method …
- 238000003325 tomography 0 title abstract description 27
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
- G06T2207/10084—Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/005—Specific pre-processing for tomographic reconstruction, e.g. calibration, source positioning, rebinning, scatter correction, retrospective gating
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods
-
- 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
- G06T2211/00—Image generation
- G06T2211/40—Computed tomography
-
- 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
- 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
-
- 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
- A61B6/50—Clinical applications
-
- 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
- A61B6/48—Diagnostic techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- 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
- A61B6/58—Testing, adjusting or calibrating devices for radiation diagnosis
- A61B6/582—Calibration
-
- 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
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
-
- 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
- A61B6/02—Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computerised tomographs
- A61B6/032—Transmission computed tomography [CT]
-
- 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
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Berger et al. | Marker‐free motion correction in weight‐bearing cone‐beam CT of the knee joint | |
| Jailin et al. | Projection-based dynamic tomography | |
| Niu et al. | Sparse-view x-ray CT reconstruction via total generalized variation regularization | |
| Xu et al. | A practical cone-beam CT scatter correction method with optimized Monte Carlo simulations for image-guided radiation therapy | |
| Stayman et al. | PIRPLE: a penalized-likelihood framework for incorporation of prior images in CT reconstruction | |
| Chen et al. | A limited-angle CT reconstruction method based on anisotropic TV minimization | |
| Yu et al. | Simulation tools for two-dimensional experiments in x-ray computed tomography using the FORBILD head phantom | |
| US9514550B2 (en) | Methods for motion compensated image reconstruction and system related thereto | |
| McClelland et al. | A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images | |
| Mory et al. | Motion-aware temporal regularization for improved 4D cone-beam computed tomography | |
| Ouadah et al. | Correction of patient motion in cone-beam CT using 3D–2D registration | |
| Low et al. | A novel CT acquisition and analysis technique for breathing motion modeling | |
| Dang et al. | dPIRPLE: a joint estimation framework for deformable registration and penalized-likelihood CT image reconstruction using prior images | |
| Hinkle et al. | 4D CT image reconstruction with diffeomorphic motion model | |
| Riblett et al. | Data‐driven respiratory motion compensation for four‐dimensional cone‐beam computed tomography (4D‐CBCT) using groupwise deformable registration | |
| Liu et al. | Evaluation of deformable image registration and a motion model in CT images with limited features | |
| Rashed et al. | Statistical image reconstruction from limited projection data with intensity priors | |
| Bertolli et al. | Sign determination methods for the respiratory signal in data-driven PET gating | |
| Zhang et al. | Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR) | |
| Sun et al. | A motion correction approach for oral and maxillofacial cone-beam CT imaging | |
| Huang et al. | Reference-free learning-based similarity metric for motion compensation in cone-beam CT | |
| Manber et al. | Joint PET-MR respiratory motion models for clinical PET motion correction | |
| Müller et al. | Image artefact propagation in motion estimation and reconstruction in interventional cardiac C-arm CT | |
| Pourmorteza et al. | Reconstruction of difference in sequential CT studies using penalized likelihood estimation | |
| Piper et al. | Objective evaluation of the correction by non-rigid registration of abdominal organ motion in low-dose 4D dynamic contrast-enhanced CT |