Automatic bilateral symmetry (midsagittal) plane extraction from pathological 3D neuroradiological images

Yanxi Liu, Robert Collins, William E. Rothfus

Research output: Contribution to journalConference article

14 Citations (Scopus)

Abstract

Most pathologies (tumor, bleed, stroke) of the human brain can be determined by a symmetry-based analysis of neural scans showing the brain's 3D internal structure. Detecting departures of this internal structure from its normal bilateral symmetry can guide the classification of abnormalities. This process is facilitated by first locating the ideal symmetry plane (midsagittal) with respect to which the brain is invariant under reflection. An algorithm to automatically identify this bilateral symmetry plane from a given 3D clinical image has been developed. The method has been tested on both normal and pathological brain scans, multimodal data (CT and MR), and on coarsely sliced samples with elongated voxel sizes.

Original languageEnglish (US)
Pages (from-to)1528-1539
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3338
DOIs
StatePublished - Dec 1 1998
EventMedical Imaging 1998: Image Processing - San Diego, CA, United States
Duration: Feb 23 1998Feb 23 1998

Fingerprint

Bilateral symmetry
3D Image
brain
Brain
symmetry
Internal
Symmetry
abnormalities
pathology
Voxel
Pathology
strokes
Stroke
Tumors
Tumor
tumors
Invariant

All Science Journal Classification (ASJC) codes

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

Cite this

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AB - Most pathologies (tumor, bleed, stroke) of the human brain can be determined by a symmetry-based analysis of neural scans showing the brain's 3D internal structure. Detecting departures of this internal structure from its normal bilateral symmetry can guide the classification of abnormalities. This process is facilitated by first locating the ideal symmetry plane (midsagittal) with respect to which the brain is invariant under reflection. An algorithm to automatically identify this bilateral symmetry plane from a given 3D clinical image has been developed. The method has been tested on both normal and pathological brain scans, multimodal data (CT and MR), and on coarsely sliced samples with elongated voxel sizes.

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