Deformable area-based template matching with application to low contrast imagery
Berger, Martin · 1999
This paper reviews the mathematical formalism of the least squares template matching (LSM) and presents a framework for automatic quality control of the resulting match. LSM is an iterative and area-based fitting method which replaces the conventional multi-step procedure of feature extraction followed by discrete parameter search. The technique is especially suitable for attaining very high precision or for processing low-contrast, noisy and blurred imagery as it takes into account the full information of the image signal. The automatic quality control---a component often missing in commonly used image matching methods---is achieved by self-diagnostic measures supervising the iterative procedure. The development is driven by applying image analysis in order to control patient position in radiotherapy treatment. The exact positioning of patients during radiotherapy is essential for high precision treatment. Accurate information about patient position is gained by the automated matching...