Takeshi Nakaura MD, Presenter: Nothing to Disclose

Masafumi Kidoh, Abstract Co-Author: Nothing to Disclose

Shinichi Tokuyasu RT, Abstract Co-Author: Employee, Koninklijke Philips NV

Shouzaburou Uemura, Abstract Co-Author: Nothing to Disclose

Kazunori Harada, Abstract Co-Author: Nothing to Disclose

Yasuyuki Yamashita MD, Abstract Co-Author: Consultant, DAIICHI SANKYO Group

Yuji Iyama MD, Abstract Co-Author: Nothing to Disclose

Toshinori Hirai MD, Abstract Co-Author: Nothing to Disclose

Seitaro Oda MD, Abstract Co-Author: Nothing to Disclose

 Image noise is a serious problem in brain CT because of the requirements for good low-contrast resolution. It is difficult to achieve the low-contrast resolution and high-quality brain CT images because general CT reconstruction techniques have a tradeoff between low-contrast detectability and spatial resolution. We aim to explain the utility of iterative model reconstruction (IMR) in brain examinations in emergency neuroradiology. The major teaching points of this exhibit are: 1. IMR reduced image noise and various artifacts, and improved low-contrast detectability in brain CT especially with thin slice images. 2. IMR is a promising technique that satisfies the high demands of low contrast resolution in brain CT at emergency neuroradiology.  

1) Technical explanation of IMR as compared with filtered back projection (FBP) reconstruction and hybrid iterative reconstruction (HIR). 2) Advantages of virtually noise free images and improvement in low-contrast detectability by IMR for low-contrast examinations as compared with FBP and HIR especially with thin slice images. 3) Clinical images reconstructed with FBP, HIR and IMR from patients with various diseases (brain infarction, hemorrhage, and traumatic injury etc.) will be displayed.  

http://abstract.rsna.org/uploads/2014/14019535/14019535_c2it.pdf

Nakaura, T, Kidoh, M, Tokuyasu, S, Uemura, S, Harada, K, Yamashita, Y, Iyama, Y, Hirai, T, Oda, S, Clinical Impact of Iterative Model Reconstruction for CT Brain Examinations: Usefulness of Thin-Slice Images for Emergency Neuroradiology.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14019535.html