J Korean Radiol Soc. 2006 Dec;55(6):565-569. Korean.
Published online Dec 31, 2006.
Copyright © 2006 by The Korean Society of Radiology
Original Article

1024 Matrix Image Reconstruction: Usefulness in High Resolution chest CT

Sun Young Jeong, M.D., Myung Jin Chung, M.D., Semin Chong, M.D., Yon Mi Sung, M.D. and Kyung Soo Lee, M.D.
    • Department of Radiology and Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Korea.

Abstract

Purpose

We tried to evaluate whether high resolution chest CT with a 1,024 matrix has a significant advantage in image quality compared to a 512 matrix.

Materials and Methods

Each set of 512 and 1024 matrix high resolution chest CT scans with both 0.625 mm and 1.25 mm slice thickness were obtained from 26 patients. Seventy locations that contained twenty-four low density lesions without sharp boundary such as emphysema, and forty-six sharp linear densities such as linear fibrosis were selected; these were randomly displayed on a five mega pixel LCD monitor. All the images were masked for information concerning the matrix size and slice thickness. Two chest radiologists scored the image quality of each arrowed lesion as follows: (1) undistinguishable, (2) poorly distinguishable, (3) fairly distinguishable, (4) well visible and (5) excellently visible. The scores were compared from the the aspects of matrix size, slice thickness and the different observers by using ANOVA tests.

Results

The average and standard deviation of image quality were 3.09 (±.92) for the 0.625 mm×512 matrix, 3.16 (±.84) for the 0.625 mm×1024 matrix, 2.49 (±1.02) for the 1.25 mm×512 matrix, and 2.35 (±1.02) for the 1.25 mm×1024 matrix, respectively. The image quality on both matrices of the high resolution chest CT scans with a 0.625 mm slice thickness was significantly better than that on the 1.25 mm slice thickness (p < 0.001). However, the image quality on the 1024 matrix high resolution chest CT scans was not significantly different from that on the 512 matrix high resolution chest CT scans (p = 0.678). The interobserver variation between the two observers was not significant (p = 0.691).

Conclusion

We think that 1024 matrix image reconstruction for high resolution chest CT may not be clinically useful.

Keywords
Computed tomography (CT), image quality; Computed tomography (CT), thin-section; Lung, CT


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