22,419 research outputs found
Dataset for: The importance of the heel effect in X-ray CT imaging of soils
Dataset supports the paper K. Liu, R. Boardman, M. Mavrogordato, F. A. Loveridge, and W. Powrie 'The importance of the heel effect in X-ray CT imaging of soils' in Environmental Geotechnics, https://doi.org/10.1680/jenge.20.00048</span
Dataset for Computed Tomography (CT) Scanning to Quantify the Movement of Moisture in Soils under Thermal Gradients'
This dataset supports the thesis by Kui Liu entitled 'Computed Tomography (CT) Scanning to Quantify the Movement of Moisture in Soils under Thermal Gradients', awarded by University of Southampton, 2020
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Uncertainty reduction of estimated geostrophic volume transports with altimeter observations east of Taiwan
Measurement of the current and spectral analysis on the continental shelf in the East China Sea
Using Standard Nonenhanced Axial Scans for Cerebral Ct Angiography Bone Elimination Feasibility Study
Objective: To investigate the feasibility of using standard nonenhanced axial-mode scans as precontrast scans for bone elimination in cerebral CT angiography (CTA). Materials and Methods: A consecutive dataset of 32 patients who had both cerebral nonenhanced CT (NECT) (scanned in axial mode) and subtraction CTA (scanned in helical mode) examinations between April and August 2008 were retrospectively analyzed. For each patient, both axial-and helical-mode, NECT scans were processed by using the matched mask bone elimination ( MMBE) method. Bone masks generated from axial-and helical- mode NECT scans were quantitatively compared by using overlapping analyses. The diagnostic quality and noise level of the resultant, maximum intensity projection, images by using 2 different bone masks were visually evaluated by 2 neuroradiologists independently using a 5-point scale ( inferior, 1; worse, 2; equivalent, 3; better, 4; superior , 5 ). The effective doses to patients were estimated by using a dose- length product method. Results: Of the 28 (87.5%) patients without intrascan movements, overlap rates between axial-and helical-mode bone masks ranged from 99.2% to 99.9% (mean, 99.7% +/- 0.2%). The mean diagnostic quality and noise level scores of resultant maximum intensity projection images given by 2 neuroradiologists were 3.0 +/- 0.3 and 2. 5 + /- 0.5, respectively. The effective dose to patients with a routine brain CTA examination can be reduced from 1. 16 to 0.78 mSv (16 cm, field-of- view) by using the proposed method if standard axial-mode NECT scans of the head are readily available. Conclusion: We found that using standard axial-mode NECT scans for bone elimination in helical-mode CTA is feasible . This method can further lower radiation dose without compromising the diagnostic quality
Application of CT in Diagnosing Carcinoma of the Maxillary Sinuses : PART 2: An Experimental Study of Pitfalls Encountered when Diagnosing Carcinoma of the Maxillary Sinuses with CT
1982-03A phantom simulating the transverse section of the maxillary sinuses was constructed for experimentation with various CT scanners to study the following: (1) the occasional inability to image the very thin posterior-lateral walls which have no real bone defects, and (2) to verify whether or not the bony walls surrounding the maxillary sinuses are actually as thick as they appear on CT. The phantom was made of an acrylic cylinder containing three cavities simulating the maxillary sinuses and the nasal cavity and filled with water. The walls, made of thin aluminum and acrylic plates and placed between water and air, disappeared in some CT images. The thickness of the walls calculated from CT values was greater than the true thickness imaged by each CT scanner. The author stresses that in CT images, either experimentally or clinically, thin bony walls placed between water and air or fat tend to disappear, and that bony walls tend to appear thicker than their true thickenss.departmental bulletin pape
Full Color Light-Emitting Electrospun Nanofibers Prepared from PFO/MEH-PPV/PMMA Ternary Blends
CT-GAN tampered samples.
The first row shows the removal tampering of CT-GAN. A lung nodule is removed from the CT slice image by CT-GAN. The second row shows the injection tampering of CT-GAN. A small nodule was tampered with as a large nodule by CT-GAN.</p
CT-19-0133.R2_Appendix_clean – Supplemental material for Trial marketing in the Pan-Canadian Early Detection of Lung Cancer Study
Supplemental material, CT-19-0133.R2_Appendix_clean for Trial marketing in the Pan-Canadian Early Detection of Lung Cancer Study by Janice L Rudkowski, Gregory R Pond, Alain Tremblay, Michael Johnston, Glen Goss, Garth Nicholas, Simon Martel, Rick Bhatia, Geoffrey Liu, Heidi Schmidt, Martin C Tammemagi, Sukhinder Atkar-Khattra, Ming-Sound Tsao, Stephen Lam and John R Goffin in Clinical Trials</p
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