Modeling liver motion and deformation during the respiratory cycle using intensity-based nonrigid registration of gated MR images

We present a technique for modeling liver motion during the respiratory cycle using intensity-based nonrigid registration of gated magnetic resonance (MR) images. Three-dimensional MR images of the abdomens of four volunteers were acquired at end-inspiration, end-expiration, and eight time points in...

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Bibliographic Details
Published in:Medical physics (Lancaster) 2004-03, Vol.31 (3), p.427-432
Main Authors: Rohlfing, Torsten, Maurer, Calvin R., O’Dell, Walter G., Zhong, Jianhui
Format: Article
Language:English
Subjects:
Adult
Algorithms
Anatomy
biomedical MRI
cancer
Clinical applications
deformation
free‐form spline‐based deformation
General theory and mathematical aspects
Hemodynamics
Humans
Image Processing, Computer-Assisted - methods
liver
Liver - pathology
liver motion
Magnetic resonance
Magnetic Resonance Imaging - methods
Male
Medical imaging
Medical magnetic resonance imaging
Movement
Nonrigid image registration
Physicists
physiological models
Pneumodyamics, respiration
radiation therapy
Respiration
respiration‐gated MR images
Stereotactic radiosurgery
Time Factors
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Summary:We present a technique for modeling liver motion during the respiratory cycle using intensity-based nonrigid registration of gated magnetic resonance (MR) images. Three-dimensional MR images of the abdomens of four volunteers were acquired at end-inspiration, end-expiration, and eight time points in between using respiratory gating. The deformation fields between the images were computed using intensity-based rigid and nonrigid registration algorithms. Global motion is modeled by a rigid transformation while local motion is modeled by a free-form deformation based on B- splines. Much of the liver motion was cranial–caudal translation, which was captured by the rigid transformation. However, there was still substantial residual deformation (approximately 10 mm averaged over the entire liver in four volunteers, and 34 mm at one place in the liver of one volunteer). The computed organ motion model can potentially be used to determine an appropriate respiratory-gated radiotherapy window during which the position of the target is known within a specified excursion.
ISSN:0094-2405
2473-4209
DOI:10.1118/1.1644513