Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization

Zhen Yang, S. Mazdak Abulnaga, Aaron Carass, Kalyani Kansal, Bruno M. Jedynak, Chiadikaobi U Onyike, Sarah H. Ying, Jerry Ladd Prince

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

Abstract

Cerebellar dysfunction can lead to a wide range of movement disorders. Studying the cerebellar atrophy pattern associated with different cerebellar disease types can potentially help in diagnosis, prognosis, and treatment planning. In this paper, we present a landmark based shape analysis pipeline to classify healthy control and different ataxia types and to visualize the characteristic cerebellar atrophy patterns associated with different types. A highly informative feature representation of the cerebellar structure is constructed by extracting dense homologous landmarks on the boundary surfaces of cerebellar sub-structures. A diagnosis group classifier based on this representation is built using partial least square dimension reduction and regularized linear discriminant analysis. The characteristic atrophy pattern for an ataxia type is visualized by sampling along the discriminant direction between healthy controls and the ataxia type. Experimental results show that the proposed method can successfully classify healthy controls and different ataxia types. The visualized cerebellar atrophy patterns were consistent with the regional volume decreases observed in previous studies, but the proposed method provides intuitive and detailed understanding about changes of overall size and shape of the cerebellum, as well as that of individual lobules.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016: Image Processing
PublisherSPIE
Volume9784
ISBN (Electronic)9781510600195
DOIs
StatePublished - 2016
EventMedical Imaging 2016: Image Processing - San Diego, United States
Duration: Mar 1 2016Mar 3 2016

Other

OtherMedical Imaging 2016: Image Processing
CountryUnited States
CitySan Diego
Period3/1/163/3/16

Keywords

  • Atrophy pattern
  • Cerebellar ataxia
  • Landmarks
  • Linear discriminant analysis
  • Magnetic resonance images
  • Partial least squares
  • Shape analysis
  • Visualization

ASJC Scopus subject areas

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

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  • Cite this

    Yang, Z., Abulnaga, S. M., Carass, A., Kansal, K., Jedynak, B. M., Onyike, C. U., Ying, S. H., & Prince, J. L. (2016). Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization. In Medical Imaging 2016: Image Processing (Vol. 9784). [97840P] SPIE. https://doi.org/10.1117/12.2217313