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Ultrasonography of the Adult Male Urinary Tract for Urinary Functional Testing
05:25

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Published on: August 14, 2019

Functional analysis in MR urography - made simple.

Dmitry Khrichenko1, Kassa Darge

  • 1Department of Radiology, The Children's Hospital of Philadelphia, 34th Street & Civic Center Boulevard, Philadelphia, PA 19104, USA. khrichenko@email.chop.edu

Pediatric Radiology
|December 17, 2009
PubMed
Summary
This summary is machine-generated.

MR urography (MRU) offers comprehensive urinary tract imaging for children without radiation. New, user-friendly software automates functional analysis, making MRU more accessible for routine clinical use.

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Area of Science:

  • Pediatric Radiology
  • Medical Imaging
  • Software Development

Background:

  • MR urography (MRU) is a valuable, non-ionizing imaging technique for pediatric urinary tract assessment.
  • Current MRU functional analysis relies on complex, external post-processing software, limiting its routine clinical adoption.
  • Standardizing functional MRU parameters comparable to nuclear medicine requires accessible analysis tools.

Purpose of the Study:

  • To introduce user-friendly, automated software for functional MRU analysis in children.
  • To address the limitations of current post-processing methods for MRU functional data.
  • To facilitate the widespread implementation of functional MRU in pediatric radiology.

Main Methods:

  • Development of a novel, automated functional analysis software named "CHOP-fMRU" within a pediatric radiology department.
  • The software is designed for ease of use, speed, and operation by general radiologists and MR technicians.
  • Free downloadability and minimal system requirements (IDL Virtual Machine) are key features.

Main Results:

  • The CHOP-fMRU software provides comprehensive automated functional analysis of MRU scans.
  • It is designed to be user-friendly, fast, and easily operated by typical radiology staff.
  • The software aims to overcome existing barriers to the routine use of functional MRU in pediatric patients.

Conclusions:

  • The developed "CHOP-fMRU" software simplifies and automates functional MRU analysis.
  • This innovation has the potential to significantly increase the routine clinical application of functional MRU in pediatric imaging.
  • Accessible functional analysis tools are crucial for advancing MRU's role in pediatric diagnostics.