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Cifor, A.* ; Risser, L.* ; Heinrich, M.P.* ; Chung, D.* ; Schnabel, J.A.*

Rigid registration of untracked freehand 2D ultrasound sweeps to 3D CT of liver tumours.

In: (International MICCAI Workshop on Computational and Clinical Challenges in Abdominal Imaging). Berlin [u.a.]: Springer, 2013. 155-164 (Lect. Notes Comput. Sc. ; 8198 LNCS)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
We present a rigid registration framework for freehand 2D ultrasound sweeps to 3D CT of liver tumours. The method registers the 2D sweeps in a group-wise manner, without the need for prior 3D ultrasound compounding or probe tracking during acquisition. We first introduce a specific acquisition model to keep the dimension of this problem reasonable. Only seven parameters are indeed required to register the images. These are estimated using simulated annealing optimization of a robust modality-independent similarity measure. The framework contrasts the current methods that rely on tracking devices and phantom calibration, which are often difficult to use routinely in clinical practice. Our results on both synthetic and real data show that the method is well-suited for such ultrasound-CT registration of liver tumours.
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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
Schlagwörter Computed Tomography ; Liver Tumour ; Multimodal ; Registration ; Ultrasound
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Konferenztitel International MICCAI Workshop on Computational and Clinical Challenges in Abdominal Imaging
Zeitschrift Lecture Notes in Computer Science
Quellenangaben Band: 8198 LNCS, Heft: , Seiten: 155-164 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)