Abstract Archives of the RSNA, 2014
INE124
Recent Topics of Image Processing for Improving Chest CT Images
Education Exhibits
Presented in 2014
Norihisa Nitta MD, Presenter: Nothing to Disclose
Haruo Mizutani, Abstract Co-Author: Nothing to Disclose
Kentarou Sakata, Abstract Co-Author: Nothing to Disclose
Masahiro Yanagawa MD, PhD, Abstract Co-Author: Nothing to Disclose
Sachiko Miura MD, Abstract Co-Author: Nothing to Disclose
Masashi Takahashi MD, Abstract Co-Author: Nothing to Disclose
Akinaga Sonoda MD, PhD, Abstract Co-Author: Nothing to Disclose
Hideji Otani MD, Abstract Co-Author: Nothing to Disclose
Yukihiro Nagatani MD, Abstract Co-Author: Nothing to Disclose
Noritoshi Ushio RT, Abstract Co-Author: Nothing to Disclose
Kiyoshi Murata MD, Abstract Co-Author: Nothing to Disclose
1.To introduce technology which reduces radiation exposure of iterative reconstruction (IR) CT equipment, by applying a successive approximation method.
2.To evaluate the technology of reducing radiation exposure by workstation manufacturers.
3.To consider future trends of reducing radiation exposure caused by CT.
1. Manufacturers' applications of successive approximation methods to IR
2. iGentle volume filters by TeraRecon, Inc.
✓ Evaluation of physical properties of iGentle volume filters
✓ Visual evaluation of iGentle volume filters
3. State-of-the-art imaging reconstruction methods
✓ Veo by GE is a reconstruction method of successive approximation, including calculations of how X-rays spread and produce geometric reflection not only in the statistical noise model and anatomical model but also from the physical focus size and the cell size of the actual detector.
✓ Philips has developed a state-of-the-art reconstruction method called Iterative Model Base Reconstruction (IMR).
4. Development of other image reconstruction methods
http://abstract.rsna.org/uploads/2014/14005213/14005213_n6ie.pdf
Nitta, N,
Mizutani, H,
Sakata, K,
Yanagawa, M,
Miura, S,
Takahashi, M,
Sonoda, A,
Otani, H,
Nagatani, Y,
Ushio, N,
Murata, K,
Recent Topics of Image Processing for Improving Chest CT Images. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14005213.html