A Review of Different Medical Image Registration Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 12
Abstract
This paper gives a review of different techniques for rigid and non-rigid registration of medical image before and at the time of surgery. Registration of preoperative MR images and Ultrasound images are used for the purpose of accuracy in detecting the tumour. Image-guided neurosurgery (IGNS) systems can be used to track surgical tools with respect to the pre-operative magnetic resonance (MR) images, movement of brain tissue during surgery invalidates the image-to-patient mapping and thus reduces the effectiveness of using pre-operative images for intra-operative surgical guidance. The movement of brain is caused by biochemical and physical factors, and is referred to as brain shift. The various technique used for this purpose are RaPTOR, which is used to reduce the mean target registration errors from patients. The artificial neural network is used to set the data base about the patient’s registered medical images. The Bivariate correlation ratio is used to correlate the images. The Gaussian blur normalized mutual information is used to allow automatic US-MRI registration in few seconds. Image segmentation is used to segment the tumour image. The US and MRI images registered are compared tat which techniques reduces the mean target registration error.
Authors and Affiliations
V. Sreeja, Dr. R. Arangasamy
Keywords
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