Resolution and noise trade-off analysis for volumetric CT

Until recently, most studies addressing the trade-off between spatial resolution and quantum noise were performed in the context of single-slice CT. In this study, we extend the theoretical framework of previous works to volumetric CT and further extend it by taking into account the actual shapes of...

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Bibliographic Details
Published in:Medical physics (Lancaster) 2007-10, Vol.34 (10), p.3732-3738
Main Authors: Li, Baojun, Avinash, Gopal B., Hsieh, Jiang
Format: Article
Language:English
Subjects:
3D MTF
Acoustic noise measurement
ALGORITHMS
Computed radiography
Computed tomography
computerised tomography
COMPUTERIZED TOMOGRAPHY
Cone-Beam Computed Tomography - methods
Humans
Image analysis
image denoising
IMAGE PROCESSING
Image Processing, Computer-Assisted
Image quality
image reconstruction
image resolution
Image scanners
Image sensors
Imaging, Three-Dimensional
KERNELS
Medical image noise
medical image processing
Medical imaging
Models, Statistical
Models, Theoretical
Modulation transfer functions
NOISE
optical transfer function
PHANTOMS
Phantoms, Imaging
PHOTONS
quantum noise
Quantum Theory
Radiographic Image Enhancement
RADIOLOGY AND NUCLEAR MEDICINE
Spatial analysis
SPATIAL RESOLUTION
Tomography, X-Ray Computed - methods
volumetric CT
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Summary:Until recently, most studies addressing the trade-off between spatial resolution and quantum noise were performed in the context of single-slice CT. In this study, we extend the theoretical framework of previous works to volumetric CT and further extend it by taking into account the actual shapes of the preferred reconstruction kernels. In the experimental study, we also attempt to explore a three-dimensional approach for spatial resolution measurement, as opposed to the conventional two-dimensional approaches that were widely adopted in previously published studies. By scanning a finite-sized sphere phantom, the MTF was measured from the edge profile along the spherical surface. Cases of different resolutions (and noise levels) were generated by adjusting the reconstruction kernel. To reduce bias, the total photon fluxes were matched: 120 kVp , 200 mA , and 1 s per gantry rotation. All data sets were reconstructed using a modified FDK algorithm under the same condition: Scan field-of-view ( SFOV ) = 10 cm , and slice thickness = 0.625 mm . The theoretical analysis indicated that the variance of noise is proportional to > 4 th power of the spatial resolution. Our experimental results supported this conclusion by showing the relationship is 4.6th (helical) or 5th (axial) power.
ISSN:0094-2405
2473-4209
DOI:10.1118/1.2779128