NDLI: Compensating for head motion in slowly-rotating cone beam CT systems with optimization transfer based motion estimation

Content Provider	IEEE Xplore Digital Library
Author	Jacobson, Matthew W. Stayman, J. Webster
Copyright Year	2008
Description	Author affiliation: Xoran Technologies, Inc., 309 N. 1st Street, Ann Arbor, MI 48103, USA (Jacobson, Matthew W.) \|\| Michigan Tech Research Institute, 3600 Green Court, Suite 100, Ann Arbor, 48105, USA (Stayman, J. Webster)
Abstract	We present an algorithm that estimates the changing pose of a rigidly moving subject, based on tomographic projections of fiducial markers. The pose estimates can then be used as input data to motion-compensated image reconstruction methods. The proposed algorithm is in the family of so-called optimization transfer algorithms, which have been applied more frequently to tomographic image reconstruction (e.g., the ML-EM algorithm for PET). The algorithm is particularly relevant to the class of slowly-rotating, point-of-care cone beam CT systems, which have recently become prominent in otolaryngological and dental clinics for head and neck scanning. These systems are more compact and inexpensive than traditional CT systems, but because of their slower gantry rotation, are more susceptible to patient head motion over the course of the scan. A virtue of our algorithm is that it does not require a priori knowledge of the marker geometry. The relative positions of the markers are co-estimated together with their 6 degree of freedom position/orientation in each projection view. This means that the marker configuration can be deformably adjusted to fit different patients, giving considerably more flexibility in the design of the marker-to-head attachment gear than with conventional fiducial-based approaches. Our algorithm is also both fast and accurate. In a highly sub-optimal MATLAB implementation, we typically achieve motion estimates yielding sub-millimeter positioning error in 15–30 seconds. We also present motion-compensated reconstructions from real CT acquisitions as evidence of motion-estimation performance.
Starting Page	5240
Ending Page	5245
File Size	7531425
Page Count	6
File Format	PDF
ISBN	9781424427147
ISSN	10957863
DOI	10.1109/NSSMIC.2008.4774416
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-19
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Computed tomography Head Image reconstruction Positron emission tomography Dentistry Neck Geometry Gears MATLAB surrogate fiducial motion optimization transfer
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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