Non-rigid registration of serial dedicated breast CT,longitudinal dedicated breast CT and PET/CT images using the diffeomorphic demons method |
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| Institution: | 1. Department of Radiology, University of California-Davis School of Medicine, Sacramento, CA 95817, USA;2. Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA;3. Department of Biomedical Engineering, University of California-Davis, Davis, CA 95616, USA;1. Medical Physics, BC Cancer Agency, Centre for the Southern Interior, British Columbia, Canada;2. Department of Physics and Astronomy, University of Victoria, British Columbia, Canada;3. Radiation Oncology, BC Cancer Agency, Centre for the Southern Interior, British Columbia, Canada;1. Department of Medical Physics, Tom Baker Cancer Centre, Calgary, AB, Canada;2. Department of Physics & Astronomy, University of Calgary, Calgary, AB, Canada;3. Department of Oncology, University of Calgary, Calgary, AB, Canada;4. Okolo Health Inc., Calgary, AB, Canada;1. Department of Physics and Astronomy, University of Calgary, Calgary, Alberta, Canada;2. Department of Medical Physics, Tom Baker Cancer Centre, Calgary, Alberta, Canada;3. Department of Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada;1. The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX;2. Department of Radiation Physics, The University of Texas MD Anderson Cancer, Houston, TX;3. Department of Radiation Oncology, The University of Texas MD Anderson Cancer, Houston, TX;4. The University of North Carolina at Chapel Hill, Chapel Hill, NC;5. Radiation Oncology, Christiana Care Health System, Newark, DE;1. Bulent Ecevit University, School of Medicine, Department of Radiology, Esenköy, Kozlu, Zonguldak 67600, Turkey;2. Bulent Ecevit University, School of Medicine, Department of Pulmonology, Esenköy, Kozlu, Zonguldak 67600, Turkey;3. Bulent Ecevit University, School of Medicine, Department of Cardiology, Esenköy, Kozlu, Zonguldak 67600, Turkey;4. Bulent Ecevit University, School of Medicine, Department of Biostatistics, Esenköy, Kozlu, Zonguldak 67600, Turkey;5. Saint Louis University, School of Medicine, Department of Radiology, St. Louis, Missouri 63110, United States;2. Departments of Radiology and Biomedical Engineering, University of California at San Francisco, San Francisco, CA;3. Centre for MR Investigations, Hull York Medical School, University of Hull, Hull, UK;5. Department of Internal Medicine, Center for Molecular Imaging, University of Michigan, Ann Arbor, MI;4. Department of Radiation Oncology, Center for Molecular Imaging, University of Michigan, Ann Arbor, MI |
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| Abstract: | Rationale and objectivesDedicated breast CT and PET/CT scanners provide detailed 3D anatomical and functional imaging data sets and are currently being investigated for applications in breast cancer management such as diagnosis, monitoring response to therapy and radiation therapy planning. Our objective was to evaluate the performance of the diffeomorphic demons (DD) non-rigid image registration method to spatially align 3D serial (pre- and post-contrast) dedicated breast computed tomography (CT), and longitudinally-acquired dedicated 3D breast CT and positron emission tomography (PET)/CT images.MethodsThe algorithmic parameters of the DD method were optimized for the alignment of dedicated breast CT images using training data and fixed. The performance of the method for image alignment was quantitatively evaluated using three separate data sets; (1) serial breast CT pre- and post-contrast images of 20 women, (2) breast CT images of 20 women acquired before and after repositioning the subject on the scanner, and (3) dedicated breast PET/CT images of 7 women undergoing neo-adjuvant chemotherapy acquired pre-treatment and after 1 cycle of therapy.ResultsThe DD registration method outperformed no registration (p < 0.001) and conventional affine registration (p ≤ 0.002) for serial and longitudinal breast CT and PET/CT image alignment. In spite of the large size of the imaging data, the computational cost of the DD method was found to be reasonable (3–5 min).ConclusionsCo-registration of dedicated breast CT and PET/CT images can be performed rapidly and reliably using the DD method. This is the first study evaluating the DD registration method for the alignment of dedicated breast CT and PET/CT images. |
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| Keywords: | Dedicated breast CT Breast PET/CT Non-rigid registration Diffeomorphic demons |
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