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Deformable medical image registration: A survey
- IEEE TRANSACTIONS ON MEDICAL IMAGING
, 2013
"... Deformable image registration is a fundamental task in medical image processing. Among its most important applications, one may cite: i) multi-modality fusion, where information acquired by different imaging devices or protocols is fused to facilitate diagnosis and treatment planning; ii) longitudin ..."
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Deformable image registration is a fundamental task in medical image processing. Among its most important applications, one may cite: i) multi-modality fusion, where information acquired by different imaging devices or protocols is fused to facilitate diagnosis and treatment planning; ii) longitudinal studies, where temporal structural or anatomical changes are investigated; and iii) population modeling and statistical atlases used to study normal anatomical variability. In this paper, we attempt to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain. Additional emphasis has been given to techniques applied to medical images. In order to study image registration methods in depth, their main components are identified and studied independently. The most recent techniques are presented in a systematic fashion. The contribution of this paper is to provide an extensive account of registration techniques in a systematic manner.
A simple regularizer for B-spline nonrigid image registration that encourages local invertibility
- IEEE
, 2008
"... Abstract—Nonrigid image registration is an important task for many medical imaging applications. In particular, for radiation oncology it is desirable to track respiratory motion for thoracic cancer treatment. B-splines are convenient for modeling nonrigid deformations, but ensuring invertibility ca ..."
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Cited by 8 (5 self)
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Abstract—Nonrigid image registration is an important task for many medical imaging applications. In particular, for radiation oncology it is desirable to track respiratory motion for thoracic cancer treatment. B-splines are convenient for modeling nonrigid deformations, but ensuring invertibility can be a challenge. This paper describes sufficient conditions for local invertibility of deformations based on B-spline bases. These sufficient condi-tions can be used with constrained optimization to enforce local invertibility. We also incorporate these conditions into nonrigid image registration methods based on a simple penalty approach that encourages diffeomorphic deformations. Traditional Jaco-bian penalty methods penalize negative Jacobian determinant values only at grid points. In contrast, our new method enforces a sufficient condition for invertibility directly on the deformation co-efficients to encourage invertibility globally over a 3-D continuous domain. The proposed penalty approach requires substantially less compute time than Jacobian penalties per iteration. Index Terms—B-splines, local invertibility sufficient conditions, nonrigid image registration, penalty method, thorax CT images. I.
MOTION ASPECTS IN JOINT IMAGE RECONSTRUCTION AND NONRIGID MOTION ESTIMATION
, 2009
"... I have been enjoying my Ph.D. program in Ann Arbor a lot not only because of all the interesting research topics, but also because of all people I have in my life. Without them, I wouldn’t be able to survive and finish this program. I would like to thank God for sending me to Michigan and orchestrat ..."
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I have been enjoying my Ph.D. program in Ann Arbor a lot not only because of all the interesting research topics, but also because of all people I have in my life. Without them, I wouldn’t be able to survive and finish this program. I would like to thank God for sending me to Michigan and orchestrating my life among all people I met in Ann Arbor. The personal walk with Him was the source of my strength for the last 6 years. I thank my late father, Ye Ki Jun, for supporting me in many different ways. Without his promise to support me for a year, I wouldn’t be able to come to the United States. I know that it would be him to be the happiest person for my Ph.D., but I am sad that he couldn’t enjoy this moment with my family. Many people will miss him. However, I am still thankful that I can share my joy with my family, my mother Soon Ja Park, my sister Mi Hyun Jeon, my brother-in-law Masafumi Fuchikami, and my nephew Harumitsu Fuchikami. Family gatherings in Korea and Japan always cheered me up. I would like to thank my advisor Jeff Fessler for many things. I have been really enjoying working with him. His intuition for the problem, his passion for the research, and his openness to any possibilities such as my naive ideas have inspired me and I’ve learned a lot from him. It has been my privilege to work with him. I would also like to thank
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"... Motion compensated iterative CT reconstruction of a cardiac region of interest using elastic image registration ..."
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Motion compensated iterative CT reconstruction of a cardiac region of interest using elastic image registration
