Morphometry-based measurements of the structural response to whole-brain radiation

D. Fuentes, J. Contreras, J. Yu, R. He, E. Castillo, R. Castillo, T. Guerrero

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Methods: Pre- and Post-irradiation magnetic resonance imaging (MRI) data sets were retrospectively analyzed in N = 15 patients. Volume changes with respect to pre-irradiation were quantitatively measured in the cerebrum and ventricles. Measurements were correlated with the time interval from irradiation. Criteria for inclusion included craniospinal irradiation, pre-irradiation MRI, at least one follow-up MRI, and no disease progression. The brain on each image was segmented to remove the skull and registered to the initial pre-treatment scan. Average volume changes were measured using morphometry analysis of the deformation Jacobian and direct template registration-based segmentation of brain structures.

Purpose: Morphometry techniques were applied to quantify the normal tissue therapy response in patients receiving whole-brain radiation for intracranial malignancies.

Results: An average cerebral volume atrophy of $$-$$-0.2 and $$-$$-3 % was measured for the deformation morphometry and direct segmentation methods, respectively. An average ventricle volume dilation of 21 and 20 % was measured for the deformation morphometry and direct segmentation methods, respectively.

Conclusion: The presented study has developed an image processing pipeline for morphometric monitoring of brain tissue volume changes as a response to radiation therapy. Results indicate that quantitative morphometric monitoring is feasible and may provide additional information in assessing response.

Original languageEnglish (US)
Pages (from-to)393-401
Number of pages9
JournalInternational Journal of Computer Assisted Radiology and Surgery
Volume10
Issue number4
DOIs
StatePublished - Apr 1 2015
Externally publishedYes

Keywords

  • Computational anatomy
  • Diffeomorphism
  • Image registration
  • Morphometry
  • Radiation therapy response

ASJC Scopus subject areas

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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