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

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

doi:10.1109/MIAR.2001.930293

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	235-240
Number of pages	6
ISBN (Print)	0769511139, 9780769511139
DOIs	https://doi.org/10.1109/MIAR.2001.930293
Publication status	Published - 2001
Externally published	Yes
Event	International Workshop on Medical Imaging and Augmented Reality, MIAR 2001 - Shatin, N.T., Hong Kong Duration: 2001 Jun 10 → 2001 Jun 12

Other

Other	International Workshop on Medical Imaging and Augmented Reality, MIAR 2001
Country/Territory	Hong Kong
City	Shatin, N.T.
Period	01/6/10 → 01/6/12

Keywords

cross-sectional images
interpolation
MRI
volume data
Volume modeling

ASJC Scopus subject areas

Signal Processing
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/MIAR.2001.930293

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). Article 930293 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MIAR.2001.930293

Voxel Stuffing: High-quality volume interpolation from multiple sequences of cross-sectional images. / Minamikawa-Tachino, R.; Yamaguchi, Y.; Fujishiro, Issei et al.
Proceedings - International Workshop on Medical Imaging and Augmented Reality, MIAR 2001. Institute of Electrical and Electronics Engineers Inc., 2001. p. 235-240 930293.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 930293, Institute of Electrical and Electronics Engineers Inc., pp. 235-240, International Workshop on Medical Imaging and Augmented Reality, MIAR 2001, Shatin, N.T., Hong Kong, 01/6/10. https://doi.org/10.1109/MIAR.2001.930293

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

Abstract

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Keywords

ASJC Scopus subject areas

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