Adeel Rahim Seyal MD, Presenter: Grant, Siemens AG

Atilla Arslanoglu MD, Abstract Co-Author: Grant, Siemens AG

Yuri Velichko PhD, Abstract Co-Author: Nothing to Disclose

Samir Abboud MD, Abstract Co-Author: Nothing to Disclose

Thomas Patrick O'Donnell, Abstract Co-Author: Researcher, Siemens AG

Vahid Yaghmai MD, Abstract Co-Author: Nothing to Disclose

Texture analysis applies advanced mathematical models to characterize lesions, thus advancing image analysis to the level where the human eye cannot reach. This exhibit will review the concepts and applications of this promising tool. We will also discuss its role as an imaging biomarker in abdominal imaging, adding information not readily accessible by visual analysis alone.

• The pixel and its numerical information • The limits of human sight • The noise in imaging • Filters • Statistical models used to characterize abdominal tumor texture • Model based and transform-based methods • Illustration of the current application of textural analysis in abdominal quantitative imaging • Intuitive and interpretable features • Future applications  

http://abstract.rsna.org/uploads/2014/14014110/14014110_aygf.pdf

Seyal, A, Arslanoglu, A, Velichko, Y, Abboud, S, O'Donnell, T, Yaghmai, V, Texture Analysis of Solid Abdominal Neoplasms: A Primer.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14014110.html