Segmentation and 3d visualization of high-resolution human brain cryosections

Ikuko Takanashi, Eric Lum, Kwan-Liu Ma, Joerg Meyer, Bernd Hamann, Arthur J. Olson

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


We present a semi-automatic technique for segmenting a large cryo-sliced human brain data set that contains 753 high-resolution RGB color images. This human brain data set presents a number of unique challenges to segmentation and visualization due to its size (over 7 GB) as well as the fact that each image not only shows the current slice of the brain but also unsliced "deeper layers" of the brain. These challenges are not present in traditional MRI and CT data sets. We have found that segmenting this data set can be made easier by using the YIQ color model and morphology. We have used a hardware-assisted interactive volume renderer to evaluate our segmentation results.

Original languageEnglish (US)
Pages (from-to)55-61
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Jan 1 2002


  • Color models
  • Cryosections
  • Medical imaging
  • Morphological operations
  • Segmentation
  • Volume rendering

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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