Voxel Stuffing: High-quality volume interpolation from multiple sequences of cross-sectional images

R. Minamikawa-Tachino, Y. Yamaguchi, Issei Fujishiro, H. Sakuraba

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

Abstract

This paper proposes a new algorithm, called Voxel Stuffing, to reconstruct single high-quality volume data from multiple sparsely-spaced sequences of cross-sectional images acquired by magnetic resonance imaging (MRI). Although fine and isotropic cross-sectional images can be obtained by using the most advanced MRI facilities, sparse sampling is commonly performed in the clinical examination. Intensive feasibility study was performed with three regular grid volume data sets, whose sources include an analytic function; a numerical simulation; and measurements. In either case, the Voxel Stuffing algorithm generates a higher-quality volume data from triple sequences of cross-sectional images in comparison with any volume data reconstructed linearly from a single sequence of class-sectional images. The Voxel Stuffing algorithm is extended to reconstruct a rectilinearly structured volume data set from triple non-orthogonal sequences of cross-sectional images, which are taken commonly in the general MRI clinical examination. The effectiveness of the extended Voxel Stuffing algorithm is illustrated with an MRI data set for a human brain containing a tumor.

Original languageEnglish
Title of host publicationProceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages235-240
Number of pages6
ISBN (Print)0769511139, 9780769511139
DOIs
Publication statusPublished - 2001
Externally publishedYes
EventInternational Workshop on Medical Imaging and Augmented Reality, MIAR 2001 - Shatin, N.T., Hong Kong
Duration: 2001 Jun 102001 Jun 12

Other

OtherInternational Workshop on Medical Imaging and Augmented Reality, MIAR 2001
CountryHong Kong
CityShatin, N.T.
Period01/6/1001/6/12

Keywords

  • cross-sectional images
  • interpolation
  • MRI
  • volume data
  • Volume modeling

ASJC Scopus subject areas

  • Signal Processing
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Minamikawa-Tachino, R., Yamaguchi, Y., Fujishiro, I., & Sakuraba, H. (2001). Voxel Stuffing: High-quality volume interpolation from multiple sequences of cross-sectional images. In Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001 (pp. 235-240). [930293] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MIAR.2001.930293