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Imants D. Svalbe
Researcher at Monash University
Publications - 113
Citations - 1344
Imants D. Svalbe is an academic researcher from Monash University. The author has contributed to research in topics: Iterative reconstruction & Radon transform. The author has an hindex of 18, co-authored 108 publications receiving 1272 citations. Previous affiliations of Imants D. Svalbe include Monash University, Clayton campus & Chisholm Institute.
Papers
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Journal ArticleDOI
Tumor cell response to synchrotron microbeam radiation therapy differs markedly from cells in normal tissues
Jeffrey C. Crosbie,Robin L. Anderson,Kai Rothkamm,Christina Restall,Leonie Cann,Saleela Ruwanpura,Sarah J Meachem,Naoto Yagi,Imants D. Svalbe,Robert A. Lewis,Bryan R.G. Williams,Peter Rogers +11 more
TL;DR: Evidence of a differential response at a cellular level between normal and tumor tissues after synchrotron MRT is provided, which is similar to that achieved with conventional radiotherapy, while causing markedly less normal tissue damage.
Journal ArticleDOI
Simulation of the effects of global normalization procedures in functional MRI
Maria Gavrilescu,Maria Gavrilescu,Marnie Shaw,Geoffrey W. Stuart,Peter Eckersley,Imants D. Svalbe,Gary F. Egan +6 more
TL;DR: It was found that global normalization by proportional scaling and ANCOVA decreased the sensitivity of the statistical analysis and induced artifactual deactivation even when the correlation between the global signal and the experimental paradigm was relatively low.
Journal ArticleDOI
A method of dosimetry for synchrotron microbeam radiation therapy using radiochromic films of different sensitivity
Jeffrey C. Crosbie,Jeffrey C. Crosbie,Imants D. Svalbe,Stewart Michael Midgley,Naoto Yagi,Peter Rogers,Robert A. Lewis +6 more
TL;DR: It is demonstrated, experimentally and by Monte Carlo simulation, that the dose is not maximal on the surface and that there is a dose build-up effect.
Proceedings ArticleDOI
Key independent watermark detection
TL;DR: Legendre sequences are a suitable candidate for signature encryption as they exhibit 'perfect' two level auto-correlation and have the unusual and interesting property of invariance under Fourier transformation.
Journal ArticleDOI
Segmenting multispectral Landsat TM images into field units
TL;DR: A procedure for the automated segmentation of multispectral Landsat TM images of farmland in Western Australia into field units is presented, which indicates that the results of the CGRG are usually more accurate in terms of field boundary position and degree of over-se segmentation and under-segmentation, than either of the other procedures.