Automatic detection of fetal nasal bone in 2 dimensional ultrasound image using map matching
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
Ultrasonic marker pattern recognition and measurement using artificial neural network
SIP'10 Proceedings of the 9th WSEAS international conference on Signal processing
WSEAS Transactions on Information Science and Applications
WSEAS Transactions on Information Science and Applications
GLCM based adaptive crossed reconstructed (ACR) k-mean clustering hand bone segmentation
NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics
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Ultrasound scanning system is a non ionizing technique for breast mammography. Unfortunately, ultrasound has not approved by FDA as a screening tool yet due to the lack of spatial resolution and high operator dependent. Therefore, the quality of imaging depends on the operator technique and experience. The purpose of this project is to develop an automated 2D motion system for ultrasound scanning designed for breast cancer patient. The scanning was performed by automated movement of a transducer during image acquisition. Therefore, the automated motion system needs a very high precision of position control system which integrated with a microcontroller and two appropriate distance sensors on each axis. Besides, graphical user interface has been designed to interface between the microcontroller and personal computer. The control method for the automated motion system can achieve a resolution of 2mm. This is used to replace the conventional handholding ultrasound probe and to increase the spatial resolution of ultrasound.