MR-only simulations provide pseudo-CT images which are segmented into 5 kinds of tissues from DIXON-based images. However, it is difficult to register pseudo-CT images to cone-beam CT (CBCT) images collected for image-guided radiation therapy (IGRT), because of the lack of contrasts among tissues. We validated gaps of IGRT between pseudo-CT or planning CT and CBCT for patients without implanted markers. We also propose calcification-assisted registration for MR-only simulation. We conducted retrospective analyses to verify the registration accuracy in 15 patients who underwent volumetric modulated arc therapy (VMAT) for prostate cancer. They underwent planning CT and pseudo-CT. Pseudo-CT images after deformable image registration (DIR) to planning CT images were rendered automatic pelvic bone matching to CBCT images. Patient positions on the pseudo-CT images after DIR were shifted on the basis of tissues around the prostate. We compared registration gaps between the images of planning CT and pseudo-CT with DIR, assuming that the tissue-based matching between the planning CT and CBCT was the gold standard. To the pseudo-CT images with DIR, calcifications detected on planning CT were added. We validated IGRT accuracy for a calcification-assisted registration. The absolute registration errors of the pseudo-CT, in comparison with the planning CT, were 0.34 ± 0.50 (lateral), 1.3 ± 1.3 (longitudinal), and 1.1 ± 1.0 mm (vertical). The absolute registration errors of the pseudo-CT with calcification contouring, in comparison with the planning CT, were 0.41 ± 1.0 (lateral), 0.87 ± 0.92 (longitudinal), and 0.74 ± 0.64 mm (vertical). Reduced absolute registration errors were observed in the proposed approach in the longitudinal (P < 0.01) and vertical (P < 0.01) dimensions when using calcification-assisted registration. The tissue-based registration using the MR-only simulation was not sufficient for use in patients with prostate cancer without implanted markers. The calcification-assisted registration might help to improve IGRT accuracy using MRI alone.
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http://dx.doi.org/10.1088/1361-6560/ab02cc | DOI Listing |
Eur J Radiol
December 2024
Radiology, Balgrist University Hospital, Forchstrasse 340, 8008 Zurich, Switzerland; Faculty of Medicine, University of Zurich, Zurich, Switzerland.
Purpose: To evaluate the interest of additional pseudo-CT images to standard clinical contrast-enhanced MR images (CE-MRI) in the detection of inflammatory erosions and to differentiate them from intraosseous ganglia at the finger joints.
Method: 47 prospectively included patients with suspected or diagnosed rheumatoid arthritis received a CE-MRI of the fingers. Additionally, pseudo-CT images were derived from non-contrast MRI (pCT) and from contrast-enhanced MRI data (CE-pCT) using a high-resolution gradient-echo 3D fast low-angle shot sequence (FLASH), respectively.
Radiography (Lond)
November 2024
Department of Radiological Technology, Faculty of Health Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama-Shi, Okayama 700-8558, Japan.
Introduction: Attenuation correction (AC) is necessary for accurate assessment of radioactive distribution in single photon emission computed tomography (SPECT). The method of computed tomography-based AC (CTAC) is widely used because of its accuracy. However, patients are exposed to radiation during CT examination.
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October 2024
From the Departments of Medical Imaging (F.E.L., D.Z., C.C., P.T., T.K., L.T., N.M.), Hematology (M.C.V.), and Nuclear Medicine (O.G.), Institut de Recherche Expérimentale et Clinique (IREC), Institut du Cancer Roi Albert II, Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCL), Brussels, Avenue Hippocrate 10, B-1200 Brussels, Belgium; Department of Medical Imaging, Hôpitaux Universitaires de Genève, Geneva, Switzerland (D.L.); GE HealthCare, Diegem, Belgium (G.D.); Department of Medical Imaging, CHU Saint Pierre, Brussels, Belgium (O.C.); and GE HealthCare, Buc, France (J.P.).
Med Phys
December 2024
Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
AJNR Am J Neuroradiol
September 2024
From Mallinckrodt Institute of Radiology (Chunwei Ying, Shaney Flores, Tammie L. S. Benzinger, Hongyu An), Department of Neurology (Yasheng Chen, Hongyu An), Department of Surgery (Yan Yan), Knight Alzheimer Disease Research Center (Tammie L. S. Benzinger), and Department of Neurosurgery (Tammie L. S. Benzinger), Washington University School of Medicine, St. Louis, Missouri, USA.
Background And Purpose: Integrated PET/MR allows the simultaneous acquisition of PET biomarkers and structural and functional MRI to study Alzheimer disease (AD). Attenuation correction (AC), crucial for PET quantification, can be performed using a deep learning approach, DL-Dixon, based on standard Dixon images. Longitudinal amyloid PET imaging, which provides important information about disease progression or treatment responses in AD, is usually acquired over several years.
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