RSNA 2007 

Abstract Archives of the RSNA, 2007


RC532A

Automatic Registration Methods

Refresher Courses

Presented on November 28, 2007
Presented as part of RC532: Update Course in Diagnostic Radiology Physics: Multidimensional Image Processing, Analysis, and Display—Three- and Four-dimensional Image Registration

Participants

Charles R. Meyer PhD, Presenter: Nothing to Disclose

LEARNING OBJECTIVES

1) Review the basic options in implementing different intensity-based, automatic image registration methods. 2) Identify the key basic components of automatic registration algorithms. 3) For each key component identify the parameters which must be chosen by the user, and in the framework provided by several examples. 4) Describe the rationale for making such parameter choices.

ABSTRACT

While the potential user of automatic registration algorithms may have many more options to choose from than they prefer, there are some intrinsic spatial dimensionality parameters over which they have little control and are simply related to the chosen application. Beyond these geometric choices the algorithms include key components related to the objective functions they optimize, types of optimizers, and regularization imposed, all of which are related to the resulting accuracy and duration of the algorithms’ compute times. In this presentation the authors will briefly describe the ranges of each of these key components.

Cite This Abstract

Meyer, C, Automatic Registration Methods.  Radiological Society of North America 2007 Scientific Assembly and Annual Meeting, November 25 - November 30, 2007 ,Chicago IL. http://archive.rsna.org/2007/4405288.html