The feedback from the medical community is very important when experimenting with medical imaging inverse problems. However, prob¬lems related to medical images data format, computer platforms, com¬putational burden, validation of new algorithms on patient data, may hamper the process of experimenting and validating new reconstruc¬tion methods very much. In this paper the joint efforts of a group of re¬searchers committed to the testing and deployment of new reconstruc¬tion methods in clinical environments are described. The outcomes of this work includes a set of platform independent software tools to read medical images, to control the execution of computing intensive tomographic algorithms and to explore the reconstructed tomographic volumes as well as strategies to compare different reconstruction meth¬ods on known patients populations.

A software environment for the evaluation of medical images reconstruction methods

MARIANI, FRANCESCA;
2002

Abstract

The feedback from the medical community is very important when experimenting with medical imaging inverse problems. However, prob¬lems related to medical images data format, computer platforms, com¬putational burden, validation of new algorithms on patient data, may hamper the process of experimenting and validating new reconstruc¬tion methods very much. In this paper the joint efforts of a group of re¬searchers committed to the testing and deployment of new reconstruc¬tion methods in clinical environments are described. The outcomes of this work includes a set of platform independent software tools to read medical images, to control the execution of computing intensive tomographic algorithms and to explore the reconstructed tomographic volumes as well as strategies to compare different reconstruction meth¬ods on known patients populations.
medical images; tomographic algorithm; inverse problem
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/473486
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