Asymmetric bias in user guided segmentations of brain structures

Martin Styner, Rachel G. Smith, Michael M. Graves, Matthew W. Mosconi, Sarah Peterson, Scott White, Joe Blocher, Mohammed El-Sayed, Heather C. Hazlett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Brain morphometric studies often incorporate comparative asymmetry analyses of left and right hemispheric brain structures. In this work we show evidence that common methods of user guided structural segmentation exhibit strong left-right asymmetric biases and thus fundamentally influence any left-right asymmetry analyses. We studied several structural segmentation methods with varying degree of user interaction from pure manual outlining to nearly fully automatic procedures. The methods were applied to MR images and their corresponding left-right mirrored images from an adult and a pediatric study. Several expert raters performed the segmentations of all structures. The asymmetric segmentation bias is assessed by comparing the left-right volumetric asymmetry in the original and mirrored dataseis, as well as by testing each sides volumetric differences to a zero mean standard t-tests. The structural segmentations of caudate, putamen, globus pallidus, amygdala and hippocampus showed a highly significant asymmetric bias using methods with considerable manual outlining or landmark placement. Only the lateral ventricle segmentation revealed no asymmetric bias due to the high degree of automation and a high intensity contrast on its boundary. Our segmentation methods have been adapted in that they are applied to only one of the hemispheres in an image and its left-right mirrored image. Our work suggests that existing studies of hemispheric asymmetry without similar precautions should be interpreted in a new, skeptical light. Evidence of an asymmetric segmentation bias is novel and unknown to the imaging community. This result seems less surprising to the visual perception community and its likely cause is differences in perception of oppositely curved 3D structures.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2007
Subtitle of host publicationImage Processing
EditionPART 1
DOIs
StatePublished - Nov 23 2007
EventMedical Imaging 2007: Image Processing - San Diego, CA, United States
Duration: Feb 18 2007Feb 20 2007

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 1
Volume6512
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2007: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/18/072/20/07

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Asymmetric bias in user guided segmentations of brain structures'. Together they form a unique fingerprint.

  • Cite this

    Styner, M., Smith, R. G., Graves, M. M., Mosconi, M. W., Peterson, S., White, S., Blocher, J., El-Sayed, M., & Hazlett, H. C. (2007). Asymmetric bias in user guided segmentations of brain structures. In Medical Imaging 2007: Image Processing (PART 1 ed.). [65120K] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6512, No. PART 1). https://doi.org/10.1117/12.709049