A multicenter observer performance study of 3D JPEG2000 compression of thin-slice CT

Bradley J. Erickson, Elizabeth A Krupinski, Katherine P. Andriole

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The goal of this study was to determine the compression level at which 3D JPEG2000 compression of thin-slice CTs of the chest and abdomen-pelvis becomes visually perceptible. A secondary goal was to determine if residents in training and non-physicians are substantially different from experienced radiologists in their perception of compression-related changes. This study used multidetector computed tomography 3D datasets with 0.625-1-mm thickness slices of standard chest, abdomen, or pelvis, clipped to 12 bits. The Kakadu v5.2 JPEG2000 compression algorithm was used to compress and decompress the 80 examinations creating four sets of images: lossless, 1.5 bpp (8:1), 1 bpp (12:1), and 0.75 bpp (16:1). Two randomly selected slices from each examination were shown to observers using a flicker mode paradigm in which observers rapidly toggled between two images, the original and a compressed version, with the task of deciding whether differences between them could be detected. Six staff radiologists, four residents, and six PhDs experienced in medical imaging (from three institutions) served as observers. Overall, 77.46% of observers detected differences at 8:1, 94.75% at 12:1, and 98.59% at 16:1 compression levels. Across all compression levels, the staff radiologists noted differences 64.70% of the time, the resident's detected differences 71.91% of the time, and the PhDs detected differences 69.95% of the time. Even mild compression is perceptible with current technology. The ability to detect differences does not equate to diagnostic differences, although perception of compression artifacts could affect diagnostic decision making and diagnostic workflow.

Original languageEnglish (US)
Pages (from-to)639-643
Number of pages5
JournalJournal of Digital Imaging
Volume23
Issue number5
DOIs
StatePublished - Oct 2010

Fingerprint

Multidetector computed tomography
Medical imaging
Decision making
Pelvis
Abdomen
Thorax
Aptitude
Multidetector Computed Tomography
Workflow
Diagnostic Imaging
Artifacts
Decision Making
Technology
Radiologists

Keywords

  • 3D imaging
  • compression
  • JPEG2000
  • observer performance

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Medicine(all)

Cite this

A multicenter observer performance study of 3D JPEG2000 compression of thin-slice CT. / Erickson, Bradley J.; Krupinski, Elizabeth A; Andriole, Katherine P.

In: Journal of Digital Imaging, Vol. 23, No. 5, 10.2010, p. 639-643.

Research output: Contribution to journalArticle

Erickson, Bradley J. ; Krupinski, Elizabeth A ; Andriole, Katherine P. / A multicenter observer performance study of 3D JPEG2000 compression of thin-slice CT. In: Journal of Digital Imaging. 2010 ; Vol. 23, No. 5. pp. 639-643.
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