Abdominopelvic MR to CT registration using a synthetic CT intermediate.


Journal

Journal of applied clinical medical physics
ISSN: 1526-9914
Titre abrégé: J Appl Clin Med Phys
Pays: United States
ID NLM: 101089176

Informations de publication

Date de publication:
Sep 2022
Historique:
revised: 25 04 2022
received: 21 10 2020
accepted: 27 06 2022
pubmed: 4 8 2022
medline: 28 9 2022
entrez: 3 8 2022
Statut: ppublish

Résumé

Accurate coregistration of computed tomography (CT) and magnetic resonance (MR) imaging can provide clinically relevant and complementary information and can serve to facilitate multiple clinical tasks including surgical and radiation treatment planning, and generating a virtual Positron Emission Tomography (PET)/MR for the sites that do not have a PET/MR system available. Despite the long-standing interest in multimodality co-registration, a robust, routine clinical solution remains an unmet need. Part of the challenge may be the use of mutual information (MI) maximization and local phase difference (LPD) as similarity metrics, which have limited robustness, efficiency, and are difficult to optimize. Accordingly, we propose registering MR to CT by mapping the MR to a synthetic CT intermediate (sCT) and further using it in a sCT-CT deformable image registration (DIR) that minimizes the sum of squared differences. The resultant deformation field of a sCT-CT DIR is applied to the MRI to register it with the CT. Twenty-five sets of abdominopelvic imaging data are used for evaluation. The proposed method is compared to standard MI- and LPD-based methods, and the multimodality DIR provided by a state of the art, commercially available FDA-cleared clinical software package. The results are compared using global similarity metrics, Modified Hausdorff Distance, and Dice Similarity Index on six structures. Further, four physicians visually assessed and scored registered images for their registration accuracy. As evident from both quantitative and qualitative evaluation, the proposed method achieved registration accuracy superior to LPD- and MI-based methods and can refine the results of the commercial package DIR when using its results as a starting point. Supported by these, this manuscript concludes the proposed registration method is more robust, accurate, and efficient than the MI- and LPD-based methods.

Identifiants

pubmed: 35920116
doi: 10.1002/acm2.13731
pmc: PMC9512351
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e13731

Subventions

Organisme : National Cancer Institute of the National Institutes of Health
ID : R01CA196687
Organisme : National Natural Science Foundation of China
ID : 61772241
Organisme : National Natural Science Foundation of China
ID : 61702225
Organisme : Natural Science Foundation of Jiangsu Province
ID : BK20160187
Organisme : Fundamental Research Funds for the Central Universities
ID : JUSRP51614A
Organisme : Science and Technology Demonstration Project of Social Development of Wuxi
ID : WX18IVJN002

Informations de copyright

© 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.

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Auteurs

Jin Uk Heo (JU)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.

Feifei Zhou (F)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.

Robert Jones (R)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Jiamin Zheng (J)

School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China.

Xin Song (X)

School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China.

Pengjiang Qian (P)

School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, China.

Atallah Baydoun (A)

Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Internal Medicine, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, USA.

Melanie S Traughber (MS)

Department of Radiation Oncology, Penn State University, Hershey, Pennsylvania, USA.

Jung-Wen Kuo (JW)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.

Rose Al Helo (RA)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Cheryl Thompson (C)

Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA.

Norbert Avril (N)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Daniel DeVincent (D)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Harold Hunt (H)

Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Amit Gupta (A)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Navid Faraji (N)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Michael Z Kharouta (MZ)

Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Arash Kardan (A)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

David Bitonte (D)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Christian B Langmack (CB)

Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Aaron Nelson (A)

MIM Software Inc., Cleveland, Ohio, USA.

Alexandria Kruzer (A)

MIM Software Inc., Cleveland, Ohio, USA.

Min Yao (M)

Department of Radiation Oncology, Penn State University, Hershey, Pennsylvania, USA.

Jennifer Dorth (J)

Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Department of Radiation Oncology, Case Western Reserve University, Cleveland, Ohio, USA.

John Nakayama (J)

Department of Obstetrics and Gynecology, Allegheny Health Network, Pittsburgh, Pennsylvania, USA.

Steven E Waggoner (SE)

Department of Obstetrics and Gynecology, Cleveland Clinic, Cleveland, Ohio, USA.

Tithi Biswas (T)

Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Department of Radiation Oncology, Case Western Reserve University, Cleveland, Ohio, USA.

Eleanor Harris (E)

Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Department of Radiation Oncology, Case Western Reserve University, Cleveland, Ohio, USA.

Susan Sandstrom (S)

Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

Bryan J Traughber (BJ)

Department of Radiation Oncology, Penn State University, Hershey, Pennsylvania, USA.

Raymond F Muzic (RF)

Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

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Classifications MeSH