A5032201283- Augmented Reality Applications
- Medical Image Segmentation Techniques
- Surgical Simulation and Training
- Wireless Body Area Networks
- IoT and Edge/Fog Computing
- Hepatocellular Carcinoma Treatment and Prognosis
- Inertial Sensor and Navigation
- Lung Cancer Diagnosis and Treatment
- Magnetic Field Sensors Techniques
- Digital Image Processing Techniques
- Medical Imaging Techniques and Applications
- Electrical and Bioimpedance Tomography
- AI in cancer detection
University College Cork
2018-2020
Mitre (United States)
2005
As the importance and prevalence of electromagnetic tracking in medical industrial applications increases, need for customized sensor design has escalated. This work focuses on AC-based systems where off-the-shelf inductive sensors may not be optimal many instruments or applications. We present a repeatable approach design, optimisation implementation air-core ferrite-core suitable tracking. Coil-based were designed tested to investigate effect usual coil parameters such as turn count,...
In this paper we present the use of a priori knowledge in processing brain images. The understanding PET and MR three-dimensional images assists registration these sets taken from particular subject. This is achieved through novel method for using anatomical landmarks as fiduciary marks. structure used segmention grey matter approach could be to construct an expert system correlate function brains healthy diseased subjects.