Development and evaluation of automated image analysis techniques in thoracic CT

K. Murphy

Promotor: M. A. Viergever
Copromotor: B. van Ginneken and J. P. W. Pluim
Utrecht University, The Netherlands
May 20, 2011

Abstract

This work concerns the development and analysis of two automatic image processing techniques in thoracic CT: Nodule detection and Intra-patient non-rigid registration. A method of nodule detection is described and thoroughly evaluated, and the organisation of a public challenge in nodule detection (ANODE09) is described with detailed discussion of the challenge results. Non-rigid registration is applied to a database of COPD patients in order to demonstrate a method of measuring pulmonary function via CT. A method to evaluate non-rigid registration via semi-automatically determined point pairs is described and demonstrated. Finally a public challenge (EMPIRE10) in non-rigid registration of thoracic CT is described and results for 20 algorithms from different institutes are detailed.

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