Detection of small focal lesions in CT images: effects of reconstruction filters and visual display windows
- 1 February 1985
- journal article
- Published by Oxford University Press (OUP) in The British Journal of Radiology
- Vol. 58 (686), 137-145
- https://doi.org/10.1259/0007-1285-58-686-137
Abstract
The detectability of small, high-contrast lesions was measured on CT images, simulations of those obtained by the EMI Mark I scanner. Images were reconstructed using five reconstruction filters (kernels), which varied the image sharpness and noise level. Different sets of images were produced using various CT display windows, six different window sizes and four different display level settings. The measured lesion detectability for observers increased from 1.6 to 2.4 as the reconstruction kernel became smoother, and it decreased only slightly at the largest display window (1000 CT numbers wide). These effects were predicted by changes in the signal-to-noise ratio, as calculated for the lesion-matched filter applied to each set of physical CT images. This filter computes the cross-correlation of the CT image and the lesion profile at the specified possible locations for the lesion.Keywords
This publication has 14 references indexed in Scilit:
- Digital image processing: effect on detectability of simulated low-contrast radiographic patterns.Radiology, 1984
- Lesion detection and signal–to–noise ratio in CT imagesMedical Physics, 1981
- Clinical and experimental investigation of a smoothed CT reconstruction algorithm.Radiology, 1980
- Resolution and contrast reductionMedical Physics, 1978
- Evaluation of observer performance in detecting blood vessels on simulated angiographic imagesMedical Physics, 1978
- Correction for Collimator Width (Restoration) in Reconstructive X-Ray TomographyJournal of Computer Assisted Tomography, 1977
- The line spread function and modulation transfer function of a computed tomographic scannerMedical Physics, 1976
- Ripple suppression during reconstruction in transverse tomographyPhysics in Medicine & Biology, 1975
- Some aspects of ROC curve-fitting: Normal and logistic modelsJournal of Mathematical Psychology, 1972
- Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals—Rating-method dataJournal of Mathematical Psychology, 1969