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Author Fortunati, Valerio ♦ Verhaart, René F. ♦ Angeloni, Francesco ♦ Lugt, Aad van der ♦ Niessen, Wiro J. ♦ Veenland, Jifke F. ♦ Paulides, Margarethus M. ♦ Walsum, Theo van
Source United States Department of Energy Office of Scientific and Technical Information
Content type Text
Language English
Subject Keyword RADIOLOGY AND NUCLEAR MEDICINE ♦ ACCURACY ♦ ALGORITHMS ♦ CAT SCANNING ♦ CEREBELLUM ♦ COMPARATIVE EVALUATIONS ♦ DEFORMATION ♦ HEAD ♦ IMAGE PROCESSING ♦ NECK ♦ NEOPLASMS ♦ NMR IMAGING ♦ PLANNING
Abstract Purpose: To investigate the feasibility of using deformable registration in clinical practice to fuse MR and CT images of the head and neck for treatment planning. Method and Materials: A state-of-the-art deformable registration algorithm was optimized, evaluated, and compared with rigid registration. The evaluation was based on manually annotated anatomic landmarks and regions of interest in both modalities. We also developed a multiparametric registration approach, which simultaneously aligns T1- and T2-weighted MR sequences to CT. This was evaluated and compared with single-parametric approaches. Results: Our results show that deformable registration yielded a better accuracy than rigid registration, without introducing unrealistic deformations. For deformable registration, an average landmark alignment of approximatively 1.7 mm was obtained. For all the regions of interest excluding the cerebellum and the parotids, deformable registration provided a median modified Hausdorff distance of approximatively 1 mm. Similar accuracies were obtained for the single-parameter and multiparameter approaches. Conclusions: This study demonstrates that deformable registration of head-and-neck CT and MR images is feasible, with overall a significanlty higher accuracy than for rigid registration.
ISSN 03603016
Educational Use Research
Learning Resource Type Article
Publisher Date 2014-09-01
Publisher Place United States
Journal International Journal of Radiation Oncology, Biology and Physics
Volume Number 90
Issue Number 1


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