Objective: The aim of this study was to investigate the utility of gated PET/CT and CT attenuation correction (AC) for the quantitation of radioactivity.
Methods: An ellipse phantom containing six spheres, ranging from 10 to 37 mm in diameter, was filled with 36.7 kBq/mL of F-18. The respiratory motion was simulated by a motor-driven plastic platform to move the phantom with a displacement of 2 cm in the craniocaudal direction at a frequency of 15/min. With the phantom at rest, PET/CT data were acquired and used as a standard (nonmotion). With the phantom in motion, PET data were acquired in both the static and gated modes (sPET and gPET, respectively). Helical CT (HCT), slow CT (SCT), average CT (ACT), and four-dimensional CT (4DCT) were acquired and used to correct attenuation. On both PET and CT images, the maximum radioactivity, dimensions, and CT numbers were measured on the central slices.
Results: In nonmotion, recovery coefficients whose spheres were 22 mm or smaller gradually decreased. Regarding motion, the PET counts of the spheres in the static acquisition were lower than those acquired in nonmotion with either type of CTAC (sPET-HCT: -43.8%, sPET-SCT: -51.4%, sPET-ACT: -49.5%). Gated acquisition of PET significantly improved the PET counts (gPET-HCT: -30.1%) (p < 0.05), while additional gated acquisition of CT significantly improved them further (gPET-4DCT: -15.2%) (p < 0.01). The dimensions of sPET were overestimated, but those of gPET were close to the standard values. The SCT significantly overestimated the dimensions, and the water density area decreased (p < 0.01). The 4DCT images were similar to the HCT images.
Conclusions: In respiratory motion, PET acquisition in the static mode underestimated the radioactivity and overestimated the dimensions. Neither SCT nor ACT improved these errors. Although PET acquisition in the gated mode improved the quantification of PET/CT images, the additional gated CT acquisition using 4DCT is required for further improvement.
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http://dx.doi.org/10.1007/s12149-010-0388-4 | DOI Listing |
Diagnostics (Basel)
December 2024
Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany.
Background: The aim of this study was to assess the possibility of image improvement of ECG-gated, high-pitch computed tomography angiography (CTA) of the thoracoabdominal aorta before transaortic valve replacement (TAVR) on a novel dual-source photon-counting detector CT (PCD-CT) in the setting of suboptimal low-contrast attenuation.
Methods: Continuously examined patients who underwent an ECG-gated, high-pitch CTA of the aorta on a PCD-CT with a contrast decrease of at least 50% between the ascending aorta and the common femoral arteries (CFA) were included. Patient characteristics were documented.
Whole-body PET imaging is often hindered by respiratory motion during acquisition, causing significant degradation in the quality of reconstructed activity images. An additional challenge in PET/CT imaging arises from the respiratory phase mismatch between CT-based attenuation correction and PET acquisition, leading to attenuation artifacts. To address these issues, we propose two new, purely data-driven methods for the joint estimation of activity, attenuation, and motion in respiratory self-gated TOF PET.
View Article and Find Full Text PDFJ Int AIDS Soc
January 2025
Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Radiographics
January 2025
From the Department of Radiology, Cardiovascular Imaging, Mayo Clinic, 200 1st St SW, Rochester, MN 559905 (P.S.R., P.A.A.); Department of Radiology, Division of Cardiothoracic Imaging, Jefferson University Hospitals, Philadelphia, Pa (B.S.); Department of Radiology, Baylor Health System, Dallas, Tex (P.R.); Department of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR (M.Y.N.); and Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, Ohio (M.A.B.).
Cardiac MRI (CMR) is an important imaging modality in the evaluation of cardiovascular diseases. CMR image acquisition is technically challenging, which in some circumstances is associated with artifacts, both general as well as sequence specific. Recognizing imaging artifacts, understanding their causes, and applying effective approaches for artifact mitigation are critical for successful CMR.
View Article and Find Full Text PDFPLoS One
December 2024
Machine Learning Group, Centrum Wiskunde & Informatica, Amsterdam, The Netherlands.
The acquisition of knowledge and skills does not occur in isolation but learning experiences amalgamate within and across domains. The process through which learning can accelerate over time is referred to as learning-to-learn or meta-learning. While meta-learning can be implemented in recurrent neural networks, these networks tend to be trained with architectures that are not easily interpretable or mappable to the brain and with learning rules that are biologically implausible.
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