[go: up one dir, main page]

Schote et al., 2018 - Google Patents

Enhancement of Region of Interest CT Reconstructions through Multimodal Data

Schote et al., 2018

View PDF
Document ID
14928543007815465148
Author
Schote D
Pfeiffer T
Rose G
Publication year
Publication venue
Current Directions in Biomedical Engineering

External Links

Snippet

Computed tomography (CT) scans are frequently used intraoperatively, for example to control the positioning of implants during intervention. Often, to provide the required information, a full field of v iew is u nnecessary. I nstead, the region-of-interest (ROI) imaging …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06T2207/10104—Positron emission tomography [PET]
    • 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
    • A61B6/507—Clinical applications involving determination of haemodynamic parameters, e.g. perfusion CT
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • 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
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00—Image generation
    • G06T2211/40—Computed tomography
    • G06T2211/424—Iterative
    • 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
    • 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
    • G06T5/001—Image restoration
    • G06T5/002—Denoising; Smoothing

Similar Documents

Publication Publication Date Title
Gjesteby et al. Metal artifact reduction in CT: where are we after four decades?
Persson et al. Total variation norm for three-dimensional iterative reconstruction inlimited view angle tomography
US12073492B2 (en) Method and system for generating attenuation map from SPECT emission data
US9153012B2 (en) Diagnostic image features close to artifact sources
US20110007956A1 (en) Sinogram processing to reduce metal artifacts in computed tomography
Rinkel et al. Computed tomographic metal artifact reduction for the detection and quantitation of small features near large metallic implants: a comparison of published methods
US10282872B2 (en) Noise reduction in tomograms
US20060285737A1 (en) Image-based artifact reduction in PET/CT imaging
Uneri et al. Known-component metal artifact reduction (KC-MAR) for cone-beam CT
EP3209207B1 (en) Methods and systems for normalizing contrast across multiple acquisitions
Pretorius et al. Diminishing the impact of the partial volume effect in cardiac SPECT perfusion imaging
CN112204607B (en) Scattering correction for X-ray imaging
Li et al. Radiation dose reduction in CT myocardial perfusion imaging using SMART-RECON
Grootjans et al. Performance of 3DOSEM and MAP algorithms for reconstructing low count SPECT acquisitions
Le Goff-Rougetet et al. Segmented MR images for brain attenuation correction in PET
Stille et al. Influence of metal segmentation on the quality of metal artifact reduction methods
US8552387B2 (en) Method for determining radiation attenuation by an examination object in a positron emission tomography scanner
Lewis et al. Mitigation of motion artifacts in CBCT of lung tumors based on tracked tumor motion during CBCT acquisition
Sadowsky et al. Hybrid cone-beam tomographic reconstruction: Incorporation of prior anatomical models to compensate for missing data
EP3404618B1 (en) Poly-energetic reconstruction method for metal artifacts reduction
Schote et al. Enhancement of Region of Interest CT Reconstructions through Multimodal Data
CN115552471A (en) Suppression of motion artifacts in computed tomography imaging
Giordano et al. Spatially regularized region-based perfusion estimation in peripherals using angiographic C-arm systems
Jacobson et al. A kV–MV approach to CBCT metal artifact reduction using multi-layer MV-CBCT
Ali et al. Partial Angle Motion Compensation for Maxillofacial Cone Beam CT