Quadratic penalty method for intensity-based deformable image registration and 4DCT lung motion recovery

Medical Physics
Edward Castillo

Abstract

Intensity-based deformable image registration (DIR) requires minimizing an image dissimilarity metric. Imaged anatomy, such as bones and vasculature, as well as the resolution of the digital grid, can often cause discontinuities in the corresponding objective function. Consequently, the application of a gradient-based optimization algorithm requires a preprocessing image smoothing to ensure the existence of necessary image derivatives. Simple block matching (exhaustive search) methods do not require image derivative approximations, but their general effectiveness is often hindered by erroneous solutions (outliers). Block match methods are therefore often coupled with a statistical outlier detection method to improve results. The purpose of this work is to present a spatially accurate, intensity-based DIR optimization formulation that can be solved with a straightforward gradient-free quadratic penalty algorithm and is suitable for 4D thoracic computed tomography (4DCT) registration. Additionally, a novel regularization strategy based on the well-known leave-one-out robust statistical model cross-validation method is introduced. The proposed Quadratic Penalty DIR (QPDIR) method minimizes both an image dissimilarity term, which i...Continue Reading

References

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Jul 17, 2012·Physics in Medicine and Biology·Edward CastilloThomas Guerrero
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Jan 7, 2017·International Journal of Computer Assisted Radiology and Surgery·Edward CastilloThomas Guerrero
Mar 15, 2019·Human Reproduction·Catherine M CastilloStephen A Roberts

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Citations

Jul 19, 2019·Medical Physics·Yabo FuDeshan Yang
Sep 13, 2019·Medical Physics·Edward CastilloRichard Castillo
Feb 21, 2021·Medical Physics·Edward CastilloCraig Stevens
Jun 24, 2021·Journal of Applied Clinical Medical Physics·Jingjing M DoughertyYevgeniy Vinogradskiy
Sep 25, 2021·Physics in Medicine and Biology·Girish B NairEdward Castillo

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