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Updated: May 26, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
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Investigating the relationship between virtual cystoscopy image quality and CT slice thickness.

S Lalondrelle1, S A Sohaib, I A Castellano

  • 1Academic Urology Unit, The Royal Marsden NHS Foundation Trust and Institute of Cancer Research, London, UK. susan.lalondrelle@rmh.nhs.uk

The British Journal of Radiology
|January 5, 2012
PubMed
Summary

Reconstructing CT virtual cystoscopy (VC) images at slice thicknesses less than 1.2 mm increases noise and does not improve image quality. Optimal image quality for VC was observed at 1.2 mm slice thickness.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Urology

Background:

  • CT virtual cystoscopy (VC) is a valuable tool for bladder cancer diagnosis.
  • Image quality in VC is influenced by various factors, including reconstruction parameters.
  • Optimizing reconstruction slice thickness is crucial for accurate VC assessment.

Purpose of the Study:

  • To evaluate the impact of different reconstruction slice thicknesses on image quality in CT virtual cystoscopy (VC).
  • To determine the optimal slice thickness for achieving high-quality VC images in bladder cancer patients.

Main Methods:

  • Pelvic CT scans from bladder cancer patients were reconstructed at varying slice thicknesses (0.6-5 mm).
  • VC images were assessed for artifacts (ridging, holes, floaters, dimpling), tumor definition, and overall quality (1=best to 7=worst).
  • Image noise and contrast-to-noise ratio (CNR) were calculated and correlated with qualitative assessments.

Main Results:

  • Thinner slice reconstructions (<1.2 mm) led to increased dimpling artifacts and noise, impairing tumor definition.
  • The best overall image quality score was achieved with a 1.2 mm slice thickness.
  • Optimal quality resulted from a balance between spatial resolution and CNR.

Conclusions:

  • Reconstruction slice thickness significantly affects CT virtual cystoscopy image quality.
  • Slice thicknesses below 1.2 mm do not enhance VC image quality due to increased noise.
  • A 1.2 mm slice thickness is recommended for optimal CT virtual cystoscopy in bladder cancer evaluation.