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SURGICAL

Image Acquisition and Data Fusion for Planning and Feedback during Image Guided Surgery

Sunita Chauhan

Year
2006
Citations
3

Abstract

This paper presents fusion of real-time images and data from various sensors for on-line surgical planning as integrated in a non-invasive surgical robotic system. High intensity focused ultrasound (HIFU) is used as a treatment modality while on-line images are acquired using diagnostic ultrasound and registered with the proprioceptive sensors of a customized robotic system for ablative procedures. As temperature is a crux parameter in thermotherapy and ablative systems, thermal data is captured using external sensors and fused with realtime images for the purpose of dosage planning and surgical monitoring. A lesion tracking algorithm is developed to track the position of lesions. This position is registered with therma-map superimposed on intra-operative images. The methodologies of lesion tracking and thermal mapping are described

Keywords

Computer visionArtificial intelligenceComputer scienceSensor fusionImage-guided surgeryModality (human–computer interaction)Position (finance)Tracking (education)Surgical planningTracking system

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