Background: Computed tomography (CT) became an important diagnostic imaging method in the veterinary practice in the past decades. Data gained with the scanning can be used for 3D displaying of organs or body regions as well. The viewer softwares provide more and more options for reconstruction of the target area. Objectives: The authors present their own results about the 3D reconstruction of the avian air sacs (Turkey) and the paranasal sinuses of the horse head based on data gained with a Siemens Definition Flash Dual CT. Materials and Methods: A Siemens Definition Flash Dual Source 2 × 128 slices CT was used to scan 5 male Turkey toms at the age of 20 weeks. A head of a 7 years old stallion cadaver was examined with the same scanner. The resulting DICOM data were reconstructed with the 3DSIicer software using manual and semi-automatic segmentations, focusing on the air sac system and the paranasal sinuses. Results and discussion: Based on the Hounsfield Unit (HU) of the air the authors created 3D models of the avian air sac system, the nasal cavity, the guttural pouch and paranasal sinuses of the horse. The slice thickness of the scans (2 mm for the Turkeys and 0.6 mm for the horse head) were sufficient to generate anatomically correct and detailed shape of the above-mentioned parts of the airways. The methods used for these reconstructions can be used for other organs, organ systems or body regions as well but require high contrast difference between the different anatomical structures or tissues. If such contrast deviations are not present naturally, contrast enhancement for the scanning procedures (in vivo contrast media administration, post mortem contrast enhancement methods) could be used. The resulted 3D anatomical models can be used in education, surgical planning and in animal breeding. In the second part of this article series the authors will present the bony and soft tissue model of the equine stifle joint, based on CT and MR image fusion.
|Number of pages||12|
|Journal||Magyar Allatorvosok Lapja|
|Publication status||Published - Mar 1 2018|
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