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Clinical Trial
. 2004 Summer;5(3):66-79.
doi: 10.1120/jacmp.v5i3.1959. Epub 2004 Jul 1.

Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumors

Theo Veninga  1 , Henkjan Huisman, Richard W M van der Maazen, Henk Huizenga
Affiliations
Clinical Trial

Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumors

Theo Veninga et al. J Appl Clin Med Phys. 2004 Summer.

Abstract

Image registration integrates information of different imaging modalities and has the potential to improve target volume determination in radiotherapy planning. This paper describes the implementation and validation of a 3D fully automated registration procedure in the process of radiotherapy treatment planning of brain tumors. 15 Patients with various brain tumors received CT and MR brain imaging before the start of radiotherapy. The normalized mutual information (NMI) method was used for image registration. Registration accuracy was estimated by performing statistical analysis of coordinate differences between CT and MR anatomical landmarks along the x-, y- and z-axes. Second, a visual validation protocol was developed to validate the quality of individual registration solutions and this protocol was tested in a series of 36 CT-MR registration procedures with intentionally applied registration errors. The mean coordinate differences between CT and MR landmarks along the x- and y-axes were in general within 0.5 mm. The mean coordinate differences along the z-axis were within 1.0 mm, which is of the same magnitude as the applied slice thickness in scanning. Second, the detection of intentionally applied registration errors by employment of a standardized visual validation protocol resulted in low false-negative and low false-positive rates. Application of the NMI method for the brain results in excellent automatic registration accuracy and the method has been incorporated in daily routine within our institute. A standardized validation protocol is proposed that ensures the quality of individual registrations by detecting registration errors with high sensitivity and specificity. This protocol is proposed for the validation of other linear registration methods.

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Figures

Figure 1
Figure 1
Correct (a), (b) and examples of incorrect registration of CT and MR data sets with translation errors along x‐axis (c), y‐axis (d), or z‐axis (e). As a result of misregistration with rotation error (angle α) around the z‐axis, the points a and b are depicted at positions a’ and b’ (f).
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