Interactive deformable registration visualization and analysis of 4D computed tomography

Authors:
Burak Erem;Gregory C. Sharp;Ziji Wu;David Kaeli
Affiliations:
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA;Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA;Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA;Department of Electrical and Computer Engineering, Northeastern University, Boston, MA
Venue:
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Year:
2008

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Principal Warps: Thin-Plate Splines and the Decomposition of Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence

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Abstract

This paper presents a new interactive method for analyzing 4D Computed Tomography (4DCT) datasets for patient care and research. Deformable registration algorithms are commonly used to observe the trajectories of individual voxels from one respiratory phase to another. Our system provides users with the capability to visualize these trajectories while simultaneously rendering anatomical volumes, which can greatly improve the accuracy of deformable registration.