Showing 3 Abstracts.
Davda Sunit, Aktar Mohammed Rashid, Mcdonald Kirsteen, Cheasty Emma, Colledge Jonathan
Final Pr. ID: Poster #: EDU-005
Iterative reconstruction is an evolving reconstruction technique in CT that has so far been associated with a typical image appearance that many radiologists are still unfamiliar with. This educational presentation aims to demystify the technique by demonstrating the origin of the alteration in image quality and providing readers with an insight as to its benefits. Read More
Authors: Davda Sunit , Aktar Mohammed Rashid , Mcdonald Kirsteen , Cheasty Emma , Colledge Jonathan
Keywords: iterative reconstruction, CT
How Low Can You Go? Ultra-Low Dose Chest CT for Diagnosis of Airway Disease in Children Using Deep Convolutional Neural Network Denoising
Horst Kelly, Zhongxing Zhou, Hull Nathan, Thacker Paul, Thorne Jamison, Fletcher Joel, Mccollough Cynthia
Final Pr. ID: Poster #: SCI-001
We sought to evaluate the quality and interpretability of non-contrast chest CT images in pediatric patients for the diagnosis of airway disease at two low-dose levels with and without denoising using a deep convolutional neural network (CNN), with one of the dose levels approaching that in a standard chest radiograph. Read More
Authors: Horst Kelly , Zhongxing Zhou , Hull Nathan , Thacker Paul , Thorne Jamison , Fletcher Joel , Mccollough Cynthia
Keywords: reduced-dose chest CT, CNN denoising, iterative reconstruction
Reduction of Radiation Exposure in Pediatric Body CT: Comparing efficacy of BMI-based mA adjustment, kV adjustment, and iterative reconstruction as relates to maximal girth
Final Pr. ID: Poster #: SCI-037
Determine the most effective method of computed tomography (CT) dose reduction that maintains diagnostic imaging quality, relative to individual patient size characteristics, such as Body Mass Index (BMI) and maximal girth. Read More
Authors: Garcia Evelyn , Mcelroy Kevin
Keywords: Dose reduction, Iterative reconstruction, Computed tomography