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Measuring Maximum Head Circumference Within the Picture Archiving and Communication System: A Fully Automatic

Fernando Yepes-Calderon1, Frisca Wihardja2, Andrea Sloan2

  • 1Strategic Business Platforms LLC, Fort Pierce, FL, United States.

Frontiers in Pediatrics
|August 5, 2021
PubMed
Summary

This study introduces an automated method for precise maximum head circumference (MHC) measurement from MRI scans, enhancing radiology reports. The new technique showed no statistical difference compared to manual measurements.

Keywords:
PACSautomatic diagnosisclinical imaging methodsmaximum head circumferencemedical imaging

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Area of Science:

  • Medical Imaging
  • Pediatric Neurosurgery
  • Radiology Informatics

Background:

  • Accurate maximum head circumference (MHC) measurement is crucial for pediatric neurosurgical assessments.
  • Manual MHC measurement from MRI can be time-consuming and prone to errors.
  • Integrating automated measurements into Picture Archiving and Communications Systems (PACS) can streamline reporting.

Purpose of the Study:

  • To develop and validate an automated technique for determining MHC from MRI studies.
  • To assess the accuracy and reliability of the automated MHC measurement compared to manual methods.
  • To enable automatic addition of MHC values to final radiology reports.

Main Methods:

  • Development of 14 printed ring structures to calibrate measurements based on the Nellhaus chart.
  • Creation of MRI phantoms using 3D-printed structures for error estimation and correction.
  • Comparison of automated MHC measurements from T1-weighted MRI images with standard manual measurements in 49 pediatric patients.

Main Results:

  • The automated technique demonstrated accurate MHC determination from MRI studies.
  • A T-test showed no statistically significant difference between automated and manual MHC measurements (p = 0.357).
  • The developed method can automatically append numerical MHC values to radiology reports.

Conclusions:

  • The automated MHC measurement technique is a reliable and accurate alternative to manual methods.
  • This application enhances the efficiency and consistency of pediatric neuroimaging analysis.
  • The system offers potential for standardization of MHC reporting in radiology.