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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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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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SU-E-J-05: Validation of an Iterative Tomosynthesis Algorithm for Low Dose on Board Cone Beam CT Patient

E W Izaguirre1,2, S G Price1,2, D Yang1,2

  • 1Washington University School of Medicine, Saint Louis, MO.

Medical Physics
|May 19, 2017
PubMed
Summary

A new low-dose Cone Beam CT (CBCT) algorithm using iterative tomosynthesis allows for daily patient imaging. This method reduces radiation dose while maintaining image quality for accurate positioning and target localization.

Keywords:
AnatomyComputed tomographyCone beam computed tomographyDigital radiographyDigital tomosynthesis mammographyMedical image qualityMedical image reconstructionMedical imagingStereoscopyTissues

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Area of Science:

  • Medical Imaging
  • Radiotherapy Physics
  • Image Reconstruction

Background:

  • Cone Beam CT (CBCT) is crucial for patient localization in radiotherapy, utilizing bone and soft tissue anatomy.
  • Current CBCT protocols are limited to weekly use due to high radiation doses.
  • Reducing imaging dose is essential for enabling more frequent patient positioning verification.

Purpose of the Study:

  • To develop and validate a low-dose CBCT algorithm for reducing radiation exposure and imaging time.
  • To enable daily CBCT for improved patient positioning and target localization in radiotherapy.
  • To utilize a novel iterative tomosynthesis algorithm for dose reduction.

Main Methods:

  • The algorithm combines tomosynthesis filtered back propagation (TFBP) with maximum likelihood expectation maximization (MLEM) iterative reconstruction.
  • Optimized circular or arc acquisition trajectories, projection numbers, and angular positions were used for head and neck imaging.
  • TFBP provided initial 3D estimates, refined by MLEM for enhanced image quality.

Main Results:

  • A 1/8 dose reduction in tomosynthesis imaging demonstrated comparable image quality and resolution to standard CBCT protocols.
  • Seven iterations of the MLEM algorithm offered an optimal balance between image quality and reconstruction time.
  • Tomosynthesis images achieved similar resolution and contrast to full CBCT, with artifacts reduced by the iterative process.

Conclusions:

  • An iterative algorithm for low-dose CBCT was successfully developed and validated.
  • The algorithm integrates tomosynthesis and iterative reconstruction for effective patient anatomy imaging.
  • This novel approach facilitates frequent, low-dose imaging for precise patient positioning and target localization.