Abstract
Objective: To validate mutual information criterion as a ready-to-use technique for automated alignment (ie, registration) of 3-dimensional (3-D) multimodal image data of the head of cats and dogs. Sample Population: Corresponding 3-D magnetic resonance imaging (MRI) and computed tomography (CT) brain scans of a 6-month-old Doberman Pinscher with a brain cyst; CT images of the head of a European shorthair cat with a meningioma before and immediately, 3, and 6 months after surgical resection; and CT and corresponding stacked anatomic cryosection images of the entire head of a 2-year-old sexually intact female Beagle. Procedure: All images were matched retrospectively by use of an in-house computer program developed on the basis of a mutual information image registration algorithm. Accuracy of the resulting registrations was evaluated by visual inspection. Results: All registrations were judged to be highly accurate. Additional manual corrections were not necessary. Conclusions and Clinical Relevance: Mutual information registration criterion can by applied to 3-D multimodal head images of cats and dogs for full automatic rigid-body image registration. The combination of such aligned images would considerably facilitate efforts of veterinary clinicians as indicated by its widespread use in brain surgery and radiation therapy of humans.
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| Fakultät: | Tiermedizin > Veterinärwissenschaftliches Department > Lehrstuhl für Anatomie, Histologie und Embryologie |
| Themengebiete: | 500 Naturwissenschaften und Mathematik > 590 Tiere (Zoologie) |
| ISSN: | 0002-9645 |
| Sprache: | Englisch |
| Dokumenten ID: | 36133 |
| Datum der Veröffentlichung auf Open Access LMU: | 15. Mrz. 2017, 16:14 |
| Letzte Änderungen: | 04. Nov. 2020, 13:14 |
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