Registration Error Quantification of a Surface-Based Multimodality Image Fusion System

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KSL-94-66 +  redirect page

Registration Error Quantification of a Surface-Based Multimodality Image Fusion System +  Has identifier

Registration Error Quantification of a Surface-Based Multimodality Image Fusion System +  Ksl tr id

Registration Error Quantification of a Surface-Based Multimodality Image Fusion System +  Number

Registration Error Quantification of a Surface-Based Multimodality Image Fusion System

Bibtype  techreport

Has publishing details  October,1994

Has title  Registration Error Quantification of a Surface-Based Multimodality Image Fusion System

Has where published  KSL-94-66

Has year  1994

Title  Registration Error Quantification of a Surface-Based Multimodality Image Fusion System

Year  1994

Abstract  This paper presents a new reference data s This paper presents a new reference data set and associated quantification methodology to assess the accuracy of registration of Computerized Tomography (CT) and Magnetic Resonance (MR) images. We also describe a new semi-automatic surface-based system for registering and visualizing CT and MR images.We determined the registration error of our system using a reference data set that was obtained from a cadaver in which rigid fiducial tubes were inserted prior to imaging. Registration error was measured as the distance between analytic expression for each fiducial tube in one image set and transformed samples ofsthe corresponding tube obtained from the other. Registration was accomplished by first identifying surfaces of similar anatomic structures in each image set. A transformation that best registered these structures was determined using anon-linear optimization procedure. Even though the root-mean-square (RMS) distance at the registered surfaces was similar to that reported by other groups, we found that RMS distances for the tubes was significantly larger than the final RMS distances between the registered surfaces. We also found that minimizing RMS distance at the skin surface did not minimize RMS distance for the tubes. d not minimize RMS distance for the tubes.

Note  Medical Computer Science

Author  Paul F. Hemler and Sandy Napel and Thilaka S. Sumanaweera and Ramani Pichumani and Petra A. van den Elsen and David L. Martin and John Drace and Inder Perkash and John R. Adler +

Has author  Paul F. Hemler and Sandy Napel and Thilaka S. Sumanaweera and Ramani Pichumani and Petra A. van den Elsen and David L. Martin and John Drace and Inder Perkash and John R. Adler +

Has identifier  Registration Error Quantification of a Surface-Based Multimodality Image Fusion System +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Registration Error Quantification of a Surface-Based Multimodality Image Fusion System +

Month  October +

Number  Registration Error Quantification of a Surface-Based Multimodality Image Fusion System +

Process note  NO +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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