May  2010, 4(2): i-iii. doi: 10.3934/ipi.2010.4.2i

Preface

1. 

Hong Kong University of Science and Technology, Hong Kong, China

2. 

Department of Mathematics, University of Florida, Gainesville, FL 32611

3. 

Ecole Centrale de Paris & INRIA Saclay Ile-de-France, Departement of Applied Mathematics, Grande Voie des Vignes, 92 295 Chatenay-Malabry

Published  May 2010

Life expectancy in the developed and developing countries is constantly increasing. Medicine has benefited from novel biomarkers for screening and diagnosis. At least for a number of diseases, biomedical imaging is one of the most promising means of early diagnosis. Medical hardware manufacturer's progress has led to a new generation of measurements to understand the human anatomical and functional states. These measurements go beyond simple means of anatomical visualization (e.g. X-ray images) and therefore their interpretation becomes a scientific challenge for humans mostly because of the volume and flow of information as well as their nature. Computer-aided diagnosis develops mathematical models and their computational solutions to assist data interpretation in a clinical setting. In simple words, one would like to be able to provide a formal answer to a clinical question using the available measurements. The development of mathematical models for automatic clinical interpretation of multi-modalities is a great challenge.

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Citation: Tony F. Chan, Yunmei Chen, Nikos Paragios. Preface. Inverse Problems & Imaging, 2010, 4 (2) : i-iii. doi: 10.3934/ipi.2010.4.2i
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