Nasal breathing is essential for respiratory function, influenced by the complex anatomy of the nasal cavity, which conditions the inhaled air by heating, cleansing and humidifying it. Disorders such as nasal obstruction or nasal septal deformities can lead to sinusitis, decreased sense of smell and sleep apnea. Septoplasty corrects these problems, but requires postoperative splinting. This study focuses on the development of personalized intranasal splints using advanced CT image processing. The software analyzes DICOM images, identifies septal distortions and calculates geometric parameters to create personalized splints. These silicone splints stabilize the nasal septum, promote airflow and enhance recovery comfort, seamlessly integrating with 3D printing technology for precise replication. This innovative approach improves surgical outcomes, providing a better quality of life for the patient after septoplasty.
KEYWORDS: 3D modeling, Bone, Image segmentation, Data modeling, Skull, Visual process modeling, 3D printing, Tomography, Rapid manufacturing, Manufacturing
The article is devoted to the development of a method for manufacturing models of cranial implants using full-scale prototyping by means of extrusion 3D printing. According to the results, specialized software was developed that allows building a geometric model of cranial implants with the maximum degree of automation, performing spatial visualization of the volume model of the implant and generating initial data to create the corresponding full-scale model.
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