Alternatives to voxels for image representation in iterative reconstruction algorithms.
about
Discrete imaging models for three-dimensional optoacoustic tomography using radially symmetric expansion functionsInvestigation of the far-field approximation for modeling a transducer's spatial impulse response in photoacoustic computed tomography.An imaging model incorporating ultrasonic transducer properties for three-dimensional optoacoustic tomography.Modelling the physics in the iterative reconstruction for transmission computed tomographyFundamentals of three-dimensional reconstruction from projections.Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?The imaging performance of a LaBr3-based PET scannerHigh-performance blob-based iterative three-dimensional reconstruction in electron tomography using multi-GPUsToward truly combined PET/CT imaging using PET detectors and photon counting CT with iterative reconstruction implementing physical detector response.Imaging studies for evaluating impact of position sampling techniques in PET scanners.Optimization-based reconstruction of sparse images from few-view projections.Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography.Qualitative and Quantitative Evaluation of Blob-Based Time-of-Flight PET Image Reconstruction in Hybrid Brain PET/MR Imaging.Four-dimensional (4D) image reconstruction strategies in dynamic PET: beyond conventional independent frame reconstruction.Spherically symmetric volume elements as basis functions for image reconstructions in computed laminography.A practical local tomography reconstruction algorithm based on a known sub-region.Image reconstruction for PET/CT scanners: past achievements and future challenges.On the computational implementation of forward and back-projection operations for cone-beam computed tomography.Geometrical and Monte Carlo projectors in 3D PET reconstruction.Experimental evaluation and basis function optimization of the spatially variant image-space PSF on the Ingenuity PET/MR scanner.Fully automatic nonrigid registration-based local motion estimation for motion-corrected iterative cardiac CT reconstruction.GPU-based Branchless Distance-Driven Projection and Backprojection.System matrix computation vs storage on GPU: A comparative study in cone beam CT.Iterative reconstruction of a region of interest for transmission tomography.Pre-computed system matrix calculation based on a piece-wise method for PET.An investigation of temporal regularization techniques for dynamic PET reconstructions using temporal splines.Fast and memory-efficient Monte Carlo-based image reconstruction for whole-body PET.Efficient projection and backprojection scheme for spherically symmetric basis functions in divergent beam geometry.Noise and resolution in images reconstructed with FBP and OSC algorithms for CT.
P2860
Q30415976-395B651A-FC25-40B8-8D3F-AE41F99D78FBQ30417845-0ACCEC98-E466-4C61-B025-9EF3CC078FC8Q30477142-DABA54D2-6B2B-4597-8814-52D7B5E52681Q30541841-5117A164-F814-4871-91F6-E90A4EBE26FCQ33708493-DA3D5104-3109-420C-85C6-E6852C4E9601Q33767831-D1CEA5AF-3C8D-4EBA-9B88-3430A93B33BAQ34025483-97195F31-5AC7-4E46-AD78-733A56E9DA3CQ34324702-CCAFECC5-1C4B-4F6C-8D8F-09590908A6FBQ34408456-5DF635C2-3321-4E00-859F-C38C91742794Q34895111-A241364F-5B3E-41F6-B06C-9132CF1F8C16Q36247167-7A436DB5-3B6A-4270-B286-8EA0C2D79875Q36352639-FAEE6801-60E1-4D9A-B589-3336A9DEDD52Q36621621-0D69977A-79B3-4835-B7E9-A259D01A7D12Q37595463-9DA46FA7-81A5-413A-B2D5-D08A7AD00A62Q38879145-F0E8FC5A-5DED-402E-93F6-752366BC94F3Q39068886-B726657A-8FDA-4A99-B3A9-039381EDC9E1Q39780317-F3CBC35B-4BD3-4D0E-95F4-6B8516BEBDB0Q40464855-FC203820-D6DE-4689-B06F-5473948FA871Q42778582-81CAB67A-9D50-498E-99CD-C922718C69B1Q44559863-2D808815-0957-4157-8806-278008D71DBFQ46487635-C3BDCC0A-A48A-4D8B-A039-12C4DC837364Q47563431-6E86CB72-2F15-4FD9-94D4-B665F93C158AQ47585645-A550647B-42B8-4348-800B-B2AB1F30855AQ47695869-2C204F12-9C9A-41DD-8369-7032D8BA8905Q48825708-304FB0C7-7627-4966-8644-032B459D7F6CQ49051796-229CBECD-5B81-4AA4-BCAF-70EED597F176Q49090404-40476A27-D917-41AF-B6E6-4711DB3C7E55Q50698231-96AE520E-9D43-41E4-988E-FB5ED5CC038AQ51037702-DBB9E8B2-A2B1-47B5-A3D8-8B43C6138057
P2860
Alternatives to voxels for image representation in iterative reconstruction algorithms.
description
1992 nî lūn-bûn
@nan
1992年の論文
@ja
1992年学术文章
@wuu
1992年学术文章
@zh
1992年学术文章
@zh-cn
1992年学术文章
@zh-hans
1992年学术文章
@zh-my
1992年学术文章
@zh-sg
1992年學術文章
@yue
1992年學術文章
@zh-hant
name
Alternatives to voxels for image representation in iterative reconstruction algorithms.
@en
Alternatives to voxels for image representation in iterative reconstruction algorithms.
@nl
type
label
Alternatives to voxels for image representation in iterative reconstruction algorithms.
@en
Alternatives to voxels for image representation in iterative reconstruction algorithms.
@nl
prefLabel
Alternatives to voxels for image representation in iterative reconstruction algorithms.
@en
Alternatives to voxels for image representation in iterative reconstruction algorithms.
@nl
P356
P1476
Alternatives to voxels for image representation in iterative reconstruction algorithms.
@en
P2093
P304
P356
10.1088/0031-9155/37/3/015
P577
1992-03-01T00:00:00Z