Sanal Cerrahi Uygulamalarında Görselleştirme Altyapısı

Yıl 2011, Cilt: 4 Sayı: 1 - Cilt: 4 Sayı: 1, - , 24.06.2016

Dionysis Goularas Başar Atalay Esin Onbaşıoğlu Koray K. Şafak Fethi Okyar Ahu Soydan

Öz

Sanal gerçeklik kullanılan cerrahi eğitimi geleneksel yöntemlere göre büyük potansiyel taşımaktadır. Nöroşirürji gibi hassas mikrocerrahi yöntemler kullanılan cerrahi branşlarda cerrahların yetişmesi için kullanılan araçlar kısıtlıdır. Cerrahi tecrübe ancak çok sayıda cerrahi işlem sonrasında kazanılabilmektedir. Tecrübesiz cerrahların yaptığı hatalı ya da eksik cerrahi müdahaleler hastalarda ciddi doku hasarı ve fonksiyonel kısıtlanmaya neden olmakta ve hatta felç ile sonuçlanabilmektedir. Günümüzde cerrahi eğitim öncelikle gözlem, daha sonra da deney hayvanları, kadavralar ve en sonunda hastalar üzerinde yapılmaktadır. Bu çalışmanın amacı nöroşirürjide öncelikle spinal ve kranial cerrahide eğitim ve cerrahi planlamada kullanılmak üzere yeni bir sanal gerçeklik eğitim sistemi geliştirmektir. VISPLAT bir sanal gerçeklik simülasyon platformudur. Hastaya-özel bir system olarak tasarlanmıştır. BT görüntülerinden 3B nesnelerin modellenmesi, cerrahi işlemlerin görüntülenmesi, dokunsal etkileşim ve cerrahi işlemlerde mekanistik materyal çıkarma modelleri için bir çerçeve oluşturur.

Anahtar Kelimeler

sanal cerrahi, görselleştirme, dokunsal, çarpışma sezimi

Visualisation Platform for Virtual Surgery

Öz

Virtual reality based surgical training have a great potential as an alternative to traditional training methods. In neurosurgery, state-of-the-art training devices are limited. The surgical experience accumulates only after so many surgical procedures. Incorrect surgical movements can be destructive. Traditional techniques for training in surgery is based on observations, using animals and cadavers, and finally real patients. The aim of this research is the development of a virtual reality training system for spinal and cranial surgery in neurosurgery. VISPLAT is a platform for virtual surgery simulation. It is designed as a patient-specific system. It acts as a framework for modeling 3D objects from CT images, visualization of the surgical operations, haptic interaction and mechanistic material-removal models for surgical operations.

Anahtar Kelimeler

virtual surgery, visualization, haptic, collision detection

Kaynakça

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