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Related Concept Videos

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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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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Related Experiment Video

Updated: Nov 11, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
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Variability in commercially available deformable image registration: A multi-institution analysis using virtual head

Alex Kubli1, Jason Pukala2, Amish P Shah2

  • 1Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.

Journal of Applied Clinical Medical Physics
|March 30, 2021
PubMed
Summary

MIM software demonstrated superior performance in deformable image registration (DIR) accuracy compared to Velocity and Eclipse. While all DIR packages achieved average errors below 3 mm, careful use is advised due to potential large maximum errors.

Keywords:
deformableerrorimageregistrationvirtual phantoms

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Area of Science:

  • Medical imaging
  • Radiotherapy
  • Image analysis

Background:

  • Deformable image registration (DIR) is crucial for adaptive radiotherapy.
  • Evaluating the performance of DIR software across institutions is essential for clinical implementation.

Purpose of the Study:

  • To assess the performance of three common DIR software packages: Velocity, MIM, and Eclipse.
  • To analyze the variability in DIR accuracy across different institutions and algorithms.

Main Methods:

  • Utilized ten virtual phantoms from head-and-neck cancer patient CT scans.
  • Collected DIR results from 35 institutions using Velocity, MIM, or Eclipse.
  • Calculated target registration error (TRE) by comparing submitted deformation vector fields (DVFs) to ground-truth DVFs.

Main Results:

  • MIM achieved the lowest mean TRE (1.10 ± 0.29 mm), significantly outperforming Velocity (2.04 ± 0.35 mm) and Eclipse (2.35 ± 0.15 mm).
  • Significant institutional differences were observed for MIM and Velocity, potentially due to parameter variations and software versions.
  • Maximum errors exceeding 2 cm were noted, highlighting the need for caution in DIR application.

Conclusions:

  • All evaluated DIR software platforms showed average TREs below 3 mm.
  • MIM demonstrated statistically superior performance, but all algorithms met a benchmark of being better than the largest voxel dimension.
  • Algorithm choice may impact DIR accuracy more than user technique; quality assurance after software upgrades is recommended.