Behzad Shariat

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Towards Non-invasive Lung Tumor Tracking Based on Patient Specific Model of Respiratory System
This work aims to calculate a complex internal respiratory and tumoral movements by measuring respiratory airflows and thorax movements. We present a new lung tumor tracking approach based on a patient-specific biomechanical model of the respiratory system, which takes into account the physiology of respiratory motion to simulate the real non-reproducible motion. We have evaluated the model accuracy on five public datasets and over all phases of respiration. The results demonstrate the effectiveness of our physics-based model. This model can be potentially used as non-invasive lung tumor tracking system during treatment based on external sensors... Read more