Chapter 4
Tensor Decomposition of a Dynamic Sequence of Images into Simple Elements
Frédérique Frouin,
Claire Pellot-Barakat,
Frédérique Frouin
Search for more papers by this authorClaire Pellot-Barakat
Search for more papers by this authorFrédérique Frouin,
Claire Pellot-Barakat,
Frédérique Frouin
Search for more papers by this authorClaire Pellot-Barakat
Search for more papers by this authorBook Editor(s):Patrick Clarysse,
Denis Friboulet,
Patrick Clarysse
Search for more papers by this authorDenis Friboulet
Search for more papers by this authorFirst published: 05 June 2015
Summary
This chapter describes generic decomposition methods of dynamic image sequences into simple elements: images and time curves. It proposes classes of estimation methods for the local analysis of contrast enhancement over time as a result of the injection of an exogenous contrast media, and for the analysis of the displacement of organs in motion. The mathematical methods presented here propose a more compact representation and an easier interpretation of the “relevant” information contained in a sequence of images. The chapter proposes two conventional approaches: the first approach is dedicated to the study of the kinetics of contrast enhancement with the purpose of bringing forward alterations related to a pathology. The second approach is related to the study of the regional contraction function of the left ventricle with the objective of detecting anomalies of this contraction.
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