James L. Schroeder MD,PhD, Abstract Co-Author: Nothing to Disclose

Siva P. Raman MD, Abstract Co-Author: Nothing to Disclose

Yifei Chen BS, Abstract Co-Author: Nothing to Disclose

Pamela Tecce Johnson MD, Presenter: Research funded, Becton, Dickinson and Company

Elliot K. Fishman MD, Abstract Co-Author: Research support, Siemens AG Advisory Board, Siemens AG Research support, General Electric Company Advisory Board, General Electric Company Co-founder, HipGraphics, Inc

Texture analysis, a new post-processing algorithm, relies on the idea that there are patterns of contrast on CT images that are not easily discriminated by the human eye, but which may contain information relevant to prognosis or classification of various lesions. The purpose of this exhibit is to answer the question, “What does texture analysis ‘see’ in CT images?”, and to review how this information can be used. Specifically the major teaching points are: To review the image-processing basis of texture analysis of CT images. To discuss recent findings of studies involving CT texture analysis to predict disease type or severity

Derivation of the parameters used in texture analysis Relationship of texture parameters to pathophysiology Review of CT texture analysis studies Studies of disease classification Studies of disease prognosis Illustration of potential clinical usage of texture analysis Summary and future research 

http://abstract.rsna.org/uploads/2014/14001415/14001415_hkex.pdf

Schroeder, J, Raman, S, Chen, Y, Johnson, P, Fishman, E, Texture Analysis of Abdominal Tumors: The Next Frontier in CT Diagnosis and Characterization.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14001415.html