Automated Modified Region Growing Technique for  Ultrasound Images - Marian Wahba - Books - LAP LAMBERT Academic Publishing - 9783659222504 - February 28, 2014
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Automated Modified Region Growing Technique for Ultrasound Images

Marian Wahba

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Automated Modified Region Growing Technique for Ultrasound Images

Medical imaging plays a vital role in the medical field because it is widely used in diseases diagnosis and treatment of patients. There are different modalities of medical imaging such as ultrasounds, x-rays, Computed Tomography (CT), Magnetic Resonance (MR), and Positron Emission Tomography (PET). Most of these modalities usually suffer from noise and other sampling artifacts. The diagnosis process in these modalities depends mainly on the interpretation of the radiologists. Consequently, the diagnosis is subjective as it is based on the radiologist experience. Medical image segmentation is an important process in the field of image processing. It has a significant role in many applications such as diagnosis, therapy planning, and advanced surgeries. In this book, we propose a new approach for automatic prostate segmentation of Trans-Rectal UltraSound (TRUS) images by dealing with the speckle not as noise but as informative signals. The proposed approach overcomes the requirement of manually selecting a seed point for initializing the segmentation process. The experimental results of the proposed approach show that it is fast and accurate.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released February 28, 2014
ISBN13 9783659222504
Publishers LAP LAMBERT Academic Publishing
Pages 124
Dimensions 150 × 7 × 225 mm   ·   203 g
Language German