Using Strain Estimation to Improve Detection of Tumors in Ultrasonographic Images

Siddique, Hisham; Shahabaz, Ahmed

dc.contributor.author	Siddique, Hisham
dc.contributor.author	Shahabaz, Ahmed
dc.date.accessioned	2021-10-06T06:16:49Z
dc.date.available	2021-10-06T06:16:49Z
dc.date.issued	2017-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/1104
dc.description	Supervised by Dr. Md. HasanulKabir, Associate Professor, Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh.	en_US
dc.description.abstract	Ultrasound imaging is a diagnostic imaging technique based on the application of ultrasound. It is used to see internal body structures such as tendons, muscles, joints, vessels and internal organs. Its aim is often to find a source of a disease or to exclude any pathology. However, in order to gain more valuable information from the image, more processing needs to be done on the images themselves. One of these is strain calculation from the image. Pressure is applied to the area from which the image is derived and the behavior of the tissues in response to various amounts of pressure is observed. There are various methods to calculate the strain from an image. We propose a new method which makes use of Kalman filter for the strain estimation. From the motion vector of the tissues deformation, estimated using Kalman filter, we can classify whether the tissue exhibits cancerous behavior or it is a normal tissue.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.title	Using Strain Estimation to Improve Detection of Tumors in Ultrasonographic Images	en_US
dc.type	Thesis	en_US