Presentation 2006-01-27
A Design Strategy on the Cellular Neural Network to the Noise Reduction and the Boundary Emphasis on Medical Ultrasonic Images
Ryota MIYAZAKI, Kenjiro MARUYAMA, Toshihiro NISHIMURA, Masayosi Tsubai,
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Abstract(in English) The purpose is to remove the speckle noise and to emphasize the boundary of a tumor by filtering based on the intensity difference in the medical ultrasound images. The proposed method is evaluated using numerical phantom simulating ultrasound B-mode images, and the effect is confirmed by applying to medical ultrasound images. Ultrasound image diagnosis is a medical diagnosis that can obtain a tumor and states of intrabody without damaging human body. The equipment is smaller than other equipments such as X-rays CT(Computed Tomography) and MRI(Magnetic Resonance Imaging)and an US diagnosis is convenient by the bed side. However, ultrasound images have a lot of speckle noises and the spatial resolution is low. Therefore, some important features such as tissue boundaries and small tumors may be overlooked. CNN(cellar neural network) for speckle reduction and the edge enhancement are proposed in this paper. It could be obtained more detail images recognition compared with the former researchers in this study.
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Keyword(in English) Medical images / Speckle / Neural net work / CNN
Paper # MBE2005-112
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Conference Information
Committee MBE
Conference Date 2006/1/20(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Design Strategy on the Cellular Neural Network to the Noise Reduction and the Boundary Emphasis on Medical Ultrasonic Images
Sub Title (in English)
Keyword(1) Medical images
Keyword(2) Speckle
Keyword(3) Neural net work
Keyword(4) CNN
1st Author's Name Ryota MIYAZAKI
1st Author's Affiliation Graduate School of Information, Production and Systems, Waseda University()
2nd Author's Name Kenjiro MARUYAMA
2nd Author's Affiliation Graduate School of Information, Production and Systems, Waseda University
3rd Author's Name Toshihiro NISHIMURA
3rd Author's Affiliation Graduate School of Information, Production and Systems, Waseda University
4th Author's Name Masayosi Tsubai
4th Author's Affiliation National Institute of Advanced Industrial Science and Technology
Date 2006-01-27
Paper # MBE2005-112
Volume (vol) vol.105
Number (no) 577
Page pp.pp.-
#Pages 4
Date of Issue