Quantification of cerebellar structures with MRI

Anjali R. Deshmukh, John E. Desmond, Edith V. Sullivan, Barton F. Lane, Barton Lane, Brian Matsumoto, Laura Marsh, Kelvin O. Lim, Adolf Pfefferbaum

Research output: Contribution to journalArticle

Abstract

Methodological issues have limited neuroimaging studies of cerebellar structures. In this article we describe a method that addresses some of these limitations and phantom studies that examine the validity of the image manipulations. We compared volumes derived from 3D Spoiled Gradient Recalled Acquisition MR images sliced with respect to three different alignment methods: one based on cerebellar landmarks, another on cerebral landmarks and a third on the plane of acquisition. Examination of coefficients of variation, coefficients of error and convergent validity suggests that although regional cerebellar volumes based on cerebellar landmarks provide the best estimates of the true volumes, observed differences between volume measurements from alignments based on cerebellar or cerebral landmarks were generally not significant and were inconsequential. In this case, the measure was improved with alignment along local, relevant cerebellar landmarks. A set of phantom experiments showed that realignment, reslicing and interpolation in 3-dimensional image processing exerted, at most, trivial distortion on the estimates of actual object volumes.

Original languageEnglish (US)
Pages (from-to)159-171
Number of pages13
JournalPsychiatry Research - Neuroimaging
Volume75
Issue number3
DOIs
StatePublished - Oct 31 1997
Externally publishedYes

Keywords

  • Cerebellum
  • Magnetic resonance imaging
  • Measurement
  • Vermis

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Radiology Nuclear Medicine and imaging
  • Psychiatry and Mental health

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  • Cite this

    Deshmukh, A. R., Desmond, J. E., Sullivan, E. V., Lane, B. F., Lane, B., Matsumoto, B., Marsh, L., Lim, K. O., & Pfefferbaum, A. (1997). Quantification of cerebellar structures with MRI. Psychiatry Research - Neuroimaging, 75(3), 159-171. https://doi.org/10.1016/S0925-4927(97)00051-6