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Rigid lens - Locally rigid approximations of deformable registration for change assessment in Thorax-Abdomen CT follow-up scans

 
: Jäckle, S.; Heldmann, S.

:

Stoyanov, D.:
Image Analysis for Moving Organ, Breast, and Thoracic Images : Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 and 20, 2018, Proceedings
Cham: Springer International Publishing, 2018 (Lecture Notes in Computer Science 11040)
ISBN: 978-3-030-00946-5
ISBN: 978-3-030-00945-8
ISBN: 978-3-030-00947-2
S.272-283
International Workshop on Reconstruction and Analysis of Moving Body Organs (RAMBO) <3, 2018, Granada>
International Workshop on Breast Image Analysis (BIA) <4, 2018, Granada>
International Workshop on Thoracic Image Analysis (TIA) <1, 2018, Granada>
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) <21, 2018, Granada>
Englisch
Konferenzbeitrag
Fraunhofer MEVIS ()

Abstract
A general problem of any deformable image registration method for change assessment is to find a good balance between computing a precise match and keeping locally differences. In this work we present the rigid lens concept dealing with this issue. The rigid lens is based on locally rigid approximation of locally precise deformations and can be used for interactive viewing and visualization of changes as well as for automatic change detection. We demonstrate the rigid lens in the context of oncological workup of thorax-abdomen CT follow-up scans and evaluate the concept for change assessment based on a study with 1492 manually annotated lesion in scans from more than 400 patients.

: http://publica.fraunhofer.de/dokumente/N-516022.html