Quadtree-based data compression of abdominal CT images

Ethan J. Halpern, Howard M. Levy, Jeffrey H. Newhouse, E. Stephen Amis, Linda M. Sanders, In K. Mun

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

An ROC study was performed to evaluate the effect of quadtree- based data compression on the diagnostic yield of CT images. Seventy images were selected from a series of consecutive abdominal/pelvic CT scans. Following the application of quadtree-based compression, all images were reviewed independently by three radiologists. The images were analyzed at six decreasing irreversible compression ratios (30.6:1 to 7.4:1), as well as after reversible compression (2.9:1). ROC curves reveal a gradual decrease in clinical accuracy with increasing compression ratios. At a compression ratio of 7.4:1, sensitivity for all major abnormalities was 99% with a specificity of 93%. As the compression ratio was increased to 30.6:1, sensitivity and specificity dropped to 75% and 83% respectively. Execution times for compression and decompression of the CT images with a PC-AT based digital radiography system varied from 24.7 to 18.5 seconds and from 16.2 to 5.1 seconds respectively, decreasing with higher levels of compression. We conclude that quadtree-based compression of abdominal CT images may have practical applications for a PC based digital radiography system.

Original languageEnglish (US)
Pages (from-to)31-38
Number of pages8
JournalInvestigative Radiology
Volume25
Issue number1
StatePublished - 1990
Externally publishedYes

Fingerprint

Data Compression
Radiographic Image Enhancement
Decompression
ROC Curve
Sensitivity and Specificity
Radiologists

Keywords

  • Computer assisted radiography
  • Data compression
  • Image processing
  • Image storage and retrieval

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Halpern, E. J., Levy, H. M., Newhouse, J. H., Amis, E. S., Sanders, L. M., & Mun, I. K. (1990). Quadtree-based data compression of abdominal CT images. Investigative Radiology, 25(1), 31-38.

Quadtree-based data compression of abdominal CT images. / Halpern, Ethan J.; Levy, Howard M.; Newhouse, Jeffrey H.; Amis, E. Stephen; Sanders, Linda M.; Mun, In K.

In: Investigative Radiology, Vol. 25, No. 1, 1990, p. 31-38.

Research output: Contribution to journalArticle

Halpern, EJ, Levy, HM, Newhouse, JH, Amis, ES, Sanders, LM & Mun, IK 1990, 'Quadtree-based data compression of abdominal CT images', Investigative Radiology, vol. 25, no. 1, pp. 31-38.
Halpern EJ, Levy HM, Newhouse JH, Amis ES, Sanders LM, Mun IK. Quadtree-based data compression of abdominal CT images. Investigative Radiology. 1990;25(1):31-38.
Halpern, Ethan J. ; Levy, Howard M. ; Newhouse, Jeffrey H. ; Amis, E. Stephen ; Sanders, Linda M. ; Mun, In K. / Quadtree-based data compression of abdominal CT images. In: Investigative Radiology. 1990 ; Vol. 25, No. 1. pp. 31-38.
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