Study on the Variations of Image Density and Morphologic Index of Multidetector Row Computed Tomography for Healthy Lungs

  • Won-Bin Cha Department of X-ray, Pyongyang Medical College, Kim Il Sung University, Pyongyang, DEMOCRATIC PEOPLE’S REPUBLIC OF KOREA.
  • Myong Won Kim Department of X-ray, Pyongyang Medical College, Kim Il Sung University, Pyongyang, DEMOCRATIC PEOPLE’S REPUBLIC OF KOREA.
  • Chang Il Cho Department of X-ray, Pyongyang Medical College, Kim Il Sung University, Pyongyang, DEMOCRATIC PEOPLE’S REPUBLIC OF KOREA.
  • Chol-Ho Chang Department of X-ray, Pyongyang Medical College, Kim Il Sung University, Pyongyang, DEMOCRATIC PEOPLE’S REPUBLIC OF KOREA.
Keywords: CAD, Density index, Histogram, Frequency, Entropy

Abstract

We selected several image density and morphologic indices to establish CAD for prediction of biopsy in lung diseases. Our results suggested that significant difference was not observed in the image density indices between bilateral lungs at each slice level. Our own designed image indices may be reliable parameters in the establishment of CAD system and pathologic diagnosis for lung disease.

Study on the Variations of Image Density and Morphologic Index of Multidetector Row Computed Tomography for Healthy Lungs
Published
2020-05-05
How to Cite
Cha, W.-B., Kim, M. W., Cho, C. I., & Chang, C.-H. (2020). Study on the Variations of Image Density and Morphologic Index of Multidetector Row Computed Tomography for Healthy Lungs. International Journal of Clinical and Experimental Physiology, 7(1), 36-37. https://doi.org/10.5530/ijcep.2020.7.1.9