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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
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A multicenter observer performance study of 3D JPEG2000 compression of thin-slice CT.

Bradley J Erickson1, Elizabeth Krupinski, Katherine P Andriole

  • 1Department of Radiology, Mayo Clinic, Rochester, MN, USA. bje@mayo.edu

Journal of Digital Imaging
|July 16, 2009
PubMed
Summary

Even mild 3D JPEG2000 compression of CT scans is visually detectable by most observers. Perception of compression artifacts is common, potentially impacting diagnostic decisions in medical imaging.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Image Compression

Background:

  • Thin-slice computed tomography (CT) imaging generates large datasets.
  • Efficient storage and transmission of medical imaging data are crucial.
  • Lossy compression techniques like JPEG2000 are explored for medical applications.

Purpose of the Study:

  • To determine the visual perceptibility threshold of 3D JPEG2000 compression on chest and abdomen-pelvis CT scans.
  • To compare the perception of compression artifacts among experienced radiologists, residents, and non-physician experts.

Main Methods:

  • Utilized multidetector computed tomography 3D datasets with thin slices (0.625-1 mm).
  • Applied JPEG2000 compression at varying bitrates: lossless, 1.5 bits per pixel (bpp) (8:1), 1 bpp (12:1), and 0.75 bpp (16:1).
  • Employed a flicker mode paradigm for observers to compare original and compressed image pairs.

Main Results:

  • A significant majority of observers detected compression artifacts at all tested levels: 77.46% at 8:1, 94.75% at 12:1, and 98.59% at 16:1.
  • No substantial difference in detection rates was observed between staff radiologists (64.70%), residents (71.91%), and PhD experts (69.95%).
  • Mild compression levels were readily perceptible, indicating current technology's sensitivity.

Conclusions:

  • 3D JPEG2000 compression is visually perceptible even at relatively low compression ratios for thin-slice CT.
  • Observer expertise did not significantly alter the ability to detect compression-related visual differences.
  • While detection does not equate to diagnostic impact, the perception of artifacts may influence diagnostic workflow and decision-making.