Abstract
Pancreas is a small organ approximately six inches long, located at upper abdomen and adjacent to the small intestine. It is located at the back and deep into the human body. Therefore, it difficult to obtain a pancreas image clearly using ultrasound machine. In order to solve this problem, MATLAB software was used to filter and segment the ultrasound pancreas images using various methods. The images were selected based on high quality images produced from five subjects using AplioMX device from Toshiba ultrasound machine with a 3.5MHz convex transducer. In this study, there were various technique of filter used including Kaun filter, Wiener filter, Frost filter and Anisotropic Diffusion filter in order to reduce spackle noise of ultrasound pancreas images. Then, the filtered images were measured using Mean Square Error (MSE), Power Signal to Noise Ratio (PSNR), Average Difference (AD), Normalized Cross-Correlation (NCC), Maximum Difference (MD), Structural Content (SC), and Normalized Absolute Error (NAE) formula to evaluate the best quality images before undergo the segmentation process. As the result, Wiener filter was selected. In the segmentation process, the active countor method and level set method were evaluated. Then, the area of binary image and error percentage were calculated. As a conclusion, it shows that the filtering process using Wiener filter and segmentation method using level sets method has been successfully done to produce the best geometry of pancreas image.
Highlights
From the previous studies, ultrasonographer found that the pancreas was quite controversial to measure the geometrical especially for the diameter and length
Five parts of the results was developed during the study as follows; reduce speckle noise by applying several filters while the image segmentation was using level sets and active contour methods
Calculation process was made that includes peak signal to noise ratio, mean square error, structural content, normalized absolute error, normalized cross-correlation, maximum difference and average difference to see the quality of images after filtering process
Summary
Ultrasonographer found that the pancreas was quite controversial to measure the geometrical especially for the diameter and length. It is because the pancreas is very difficult to see clearly through ultrasound modality. Results from the ultrasound images consisted a few limitations such as speckle noise, attenuation, low contrast and local changes of intensity [1]. The speckle noise has an adverse effect on image quality. The effects of speckle noise can reduce the spatial resolution of ultrasound image and making less details of the image [2]. This paper proposes an approach to obtain a pancreas image clearly and accurate in geometry from ultrasound machine
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