A novel approach to motion correction for ASL images based on brain contours

Giacomo Tarroni, Marco Castellaro, Carlo Boffano, Maria Grazia Bruzzone, Alessandra Bertoldo, Enrico Grisan

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

Abstract

Motion correction in Arterial Spin Labeling (ASL) is essential to accurately assess brain perfusion. Motion correction techniques are usually based on intensity-related information, which might be unreliable in ASL due to local intensity differences between control and labeled acquisitions and to non-uniform volume magnetization caused by background-suppressed acquisition protocols. Accordingly, a novel motion correction technique based only on brain contour points is presented and tested against a widely used intensity-based technique (MCFLIRT). The proposed Contour-Based Motion Correction (CBCM) technique relies on image segmentation (to extract brain contour point clouds) and on Iterative Closest Point algorithm (to estimate the roto-translation required to align them). At variance with other approaches based on point clouds alignment, the local 3D curvature is also computed for each contour point and used as an additional coordinate to increase the accuracy of the alignment. The technique has been tested along with MCFLIRT on a database of randomly roto-translated brain volumes. Several error metrics have been computed and compared between the two techniques. The results show that the proposed technique is able to achieve a higher accuracy than MCFLIRT without any intensity-dependent information.

Original languageEnglish
Title of host publicationMedical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
PublisherSPIE
Volume9417
ISBN (Print)9781628415070
DOIs
Publication statusPublished - 2015
EventMedical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging - Orlando, United States
Duration: Feb 24 2015Feb 26 2015

Other

OtherMedical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CityOrlando
Period2/24/152/26/15

Keywords

  • ASL
  • Brain MRI
  • Image registration
  • Motion correction

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

    Tarroni, G., Castellaro, M., Boffano, C., Bruzzone, M. G., Bertoldo, A., & Grisan, E. (2015). A novel approach to motion correction for ASL images based on brain contours. In Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 9417). [94171U] SPIE. https://doi.org/10.1117/12.2081784