Gilland et al., 2002 - Google Patents
Simultaneous reconstruction and motion estimation for gated cardiac ECTGilland et al., 2002
- Document ID
- 5201807711685006591
- Author
- Gilland D
- Mair B
- Bowsher J
- Jaszczak R
- Publication year
- Publication venue
- IEEE Transactions on nuclear science
External Links
Snippet
The primary goal of this work has been to develop a processing method for gated cardiac emission computed tomography (ECT) that simultaneously reconstructs the pixel intensities of the gated images and estimates the motion of the cardiac wall. The simultaneous …
- 230000000747 cardiac effect 0 title abstract description 16
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
-
- 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
- G06T2211/00—Image generation
- G06T2211/40—Computed tomography
- G06T2211/424—Iterative
-
- 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]
-
- 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
-
- 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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7285—Specific aspects of physiological measurement analysis for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal
-
- 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
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/026—Measuring blood flow
- A61B5/0275—Measuring blood flow using tracers, e.g. dye dilution
- A61B5/02755—Radioactive tracers
-
- 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]
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gilland et al. | Simultaneous reconstruction and motion estimation for gated cardiac ECT | |
US8989465B2 (en) | System and method for medical image reconstruction and image series denoising using local low rank promotion | |
Liu et al. | Comparison of 3-D reconstruction with 3D-OSEM and with FORE+ OSEM for PET | |
Lingala et al. | Accelerated dynamic MRI exploiting sparsity and low-rank structure: kt SLR | |
US7983465B2 (en) | Image reconstruction methods based on block circulant system matrices | |
Isola et al. | Motion-compensated iterative cone-beam CT image reconstruction with adapted blobs as basis functions | |
Kyme et al. | Practical aspects of a data-driven motion correction approach for brain SPECT | |
Isola et al. | Fully automatic nonrigid registration‐based local motion estimation for motion‐corrected iterative cardiac CT reconstruction | |
Mueller et al. | The weighted-distance scheme: a globally optimizing projection ordering method for ART | |
Niu et al. | Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations | |
Mair et al. | Estimation of images and nonrigid deformations in gated emission CT | |
Narayanan et al. | An interior point iterative maximum-likelihood reconstruction algorithm incorporating upper and lower bounds with application to SPECT transmission imaging | |
Marin et al. | Numerical surrogates for human observers in myocardial motion evaluation from SPECT images | |
Cao et al. | Three-dimensional motion estimation with image reconstruction for gated cardiac ECT | |
Chiao et al. | Model-based estimation with boundary side information or boundary regularization [cardiac emission CT] | |
Galve et al. | Super-iterative image reconstruction in PET | |
Zeng et al. | Iterative reconstruction with attenuation compensation from cone-beam projections acquired via nonplanar orbits | |
Chang et al. | Deep learning image transformation under radon transform | |
Farncombe et al. | A fully 4D expectation maximization algorithm using Gaussian diffusion based detector response for slow camera rotation dynamic SPECT | |
Mok et al. | Initial investigation of using a generative adversarial network for denoising in dual gating myocardial perfusion SPECT | |
Sabah et al. | Three-Dimensional CT Image Reconstruction Techniques: Implementation and Comparison | |
Panin et al. | Reconstructions of truncated projections using an optimal basis expansion derived from the cross-correlation of a" knowledge set" of a priori cross-sections | |
Reutter et al. | Fully 4-D dynamic cardiac SPECT image reconstruction using spatiotemporal B-spline voxelization | |
US20250232491A1 (en) | Statistical reconstruction method based on a continuous-to-continuous data model with iterative coordinate descent optimization strategy for emission tomography | |
Segars et al. | Effect of respiratory motion in CT-based attenuation correction in SPECT using different CT scanners and protocols |