Conference proceeding
An Octree Based Approach to Multi-Grid B-spline Registration
MEDICAL IMAGING 2017: IMAGE PROCESSING, v 10133, pp 101330W-101330W-9
01 Jan 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In this paper we propose a new strategy for the recovery of complex anatomical deformations that exhibit local discontinuities, such as the shearing found at the lung-ribcage interface, using multi-grid octree B-splines. B-spline based image registration is widely used in the recovery of respiration induced deformations between CT images. However, the continuity imposed upon the computed deformation field by the parametrizing cubic B-spline basis function results in an inability to correctly capture discontinuities such as the sliding motion at organ boundaries. The proposed technique efficiently captures deformation within and at organ boundaries without the need for prior knowledge, such as segmentation, by selectively increasing deformation freedom within image regions exhibiting poor local registration. Experimental results show that the proposed method achieves more physically plausible deformations than traditional global B-spline methods.
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1 citations in Scopus
Details
- Title
- An Octree Based Approach to Multi-Grid B-spline Registration
- Creators
- Pingge Jiang - Drexel UniversityJames A. Shackleford - Drexel University
- Contributors
- M A Styner (Editor)E D Angelini (Editor)
- Publication Details
- MEDICAL IMAGING 2017: IMAGE PROCESSING, v 10133, pp 101330W-101330W-9
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 9
- Grant note
- 1553436 / National Science Foundation; National Science Foundation (NSF) 1553436 / Office of Advanced Cyberinfrastructure (OAC); National Science Foundation (NSF); NSF - Directorate for Computer & Information Science & Engineering (CISE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000405564600029
- Scopus ID
- 2-s2.0-85020295910
- Other Identifier
- 991019168387504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Optics
- Radiology, Nuclear Medicine & Medical Imaging