A realistic simulation framework for assessing deformable slice-to-volume (CT-fluoroscopy/CT) registration

Ziv Yaniv; Roland Stenzel; Kevin Cleary; Filip Banovac M.D.

doi:10.1117/12.655621

10 March 2006 A realistic simulation framework for assessing deformable slice-to-volume (CT-fluoroscopy/CT) registration

Ziv Yaniv, Roland Stenzel, Kevin Cleary, Filip Banovac M.D.

Author Affiliations +

Proceedings Volume 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display; 61410F (2006) https://doi.org/10.1117/12.655621
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Lung cancer screening for early diagnosis is a clinically important problem. One screening method is to test tissue samples obtained from CT-fluoroscopy (CTF) guided lung biopsy. CTF provides real-time imaging; however on most machines the view is limited to a single slice. Mentally reconstructing the direction of the needle when it is not in the imaging plane is a difficult task. We are currently developing 3D visualization software that will augment the physician's ability to perform this task. At the beginning of the procedure a CT scan is acquired at breath-hold. The physician then specifies an entry point and a target point on the CT. As the procedure advances the physician acquires a CTF image at breath-hold; the system then registers the current setup to the CT scan. To assess the performance of different registration algorithms for CTF/CT registration we propose to use simulated CTF images. These images are created by deforming the original CT volume and extracting a slice from it. Realistic deformation of the CT volume is achieved by using positional information from electromagnetically tracked fiducials, acquired throughout the respiratory cycle. To estimate the dense displacement field underlying the sparse displacement field provided by the fiducials we use radial basis function interpolation. Finally, we evaluated Thirion's "demons" algorithm, as implemented in ITK, for the task of slice-to-volume registration. We found it to be unsuitable for this task, as in most cases the recovered displacements were less than 50% of the original ones.

Citation Download Citation

Ziv Yaniv, Roland Stenzel, Kevin Cleary, and Filip Banovac M.D. "A realistic simulation framework for assessing deformable slice-to-volume (CT-fluoroscopy/CT) registration", Proc. SPIE 6141, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, 61410F (10 March 2006); https://doi.org/10.1117/12.655621

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