Generalized Series Dynamic Imaging with Deformable References Conference Paper

abstract

• 2002 IEEE. Many imaging applications require the acquisition of a time series of images. Conventional full-scan methods acquire each of these images independently, resulting in a tradeoff between spatial resolution and temporal resolution. To address this problem, a generalized series-based reduced-encoding method has been proposed, which collects one or a few high-resolution references and a sequence of reduced data sets. This paper extends this imaging scheme to allow deformable references to be used to compensate for possible geometric variations between the references and the reduced data sets. The deformable references are constructed using a thin-plate spline model and a mutual information-based registration algorithm. Simulation results demonstrate that the proposed method can handle large geometric changes such as those encountered in cardiac imaging.

name of conference

• Proceedings IEEE International Symposium on Biomedical Imaging

authors

• Ji, Jim

published proceedings

• Proceedings IEEE International Symposium on Biomedical Imaging

author list (cited authors)

• Ji, X., & Liang, Z.

citation count

• 3

complete list of authors

• Ji, Xiuquan||Liang, Zhi-Pei

publication date

• January 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging  Journal

keywords

• Bioengineering
• Biomedical Imaging

Digital Object Identifier (DOI)

• 10.1109/isbi.2002.1029376

International Standard Book Number (ISBN) 10

• 078037584X

start page

• 789

end page

• 792

volume

• 2002-January

URL

• http://dx.doi.org/10.1109/isbi.2002.1029376