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HU deviation in lung and bone tissues: Characterization and a corrective strategy.

Hua A Ai1, Joseph G Meier1,2, Richard E Wendt1,2

  • 1Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.

Medical Physics
|March 26, 2018
PubMed
Summary

Patient size significantly impacts Hounsfield Unit (HU) accuracy in CT scans, especially for bone and lung tissues. A new correction strategy substantially improves HU accuracy, crucial for precision medicine applications.

Keywords:
CT quantificationHounsfield unitbeam hardeningcomputed tomography

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Area of Science:

  • Medical Imaging
  • Radiology
  • Physics

Background:

  • Precision medicine relies on accurate quantitative X-ray Computed Tomography (CT) measurements.
  • Hounsfield Unit (HU) accuracy is critical for quantitative CT applications.
  • Patient attenuation can cause beam hardening, affecting HU accuracy.

Purpose of the Study:

  • To evaluate the impact of patient size on HU accuracy due to beam hardening.
  • To develop and test a strategy for correcting HU deviations caused by beam hardening.

Main Methods:

  • Scanned phantoms (CIRS electron density, ATOM torso) on Siemens and GE CT scanners.
  • Simulated varying patient sizes using Superflab bolus material.
  • Evaluated mean HU values against water-equivalent area (Aw).
  • Developed and applied an HU correction strategy.

Main Results:

  • Observed significant HU deviations dependent on simulated patient size.
  • Correlated HU deviations with water-equivalent area for different tissue types.
  • Maximum HU differences in bone and lung were 426 and 94 HU, respectively.
  • Correction method reduced bone HU deviations to 8.5 HU and lung HU deviations to -6.4 HU.

Conclusions:

  • Patient size significantly affects HU values in lung and bone.
  • The developed HU correction method substantially improved accuracy for these tissues.
  • Correction method showed insignificant deviations in soft tissues.