Strain Estimation and Detection of Cancerous Breast Lesion through ultrasound image

Faiyaz, Abrar; Anan, Md. Samiul Bashar

dc.contributor.author	Faiyaz, Abrar
dc.contributor.author	Anan, Md. Samiul Bashar
dc.date.accessioned	2017-10-27T09:16:53Z
dc.date.available	2017-10-27T09:16:53Z
dc.date.issued	2016-11-20
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dc.identifier.uri	http://hdl.handle.net/123456789/109
dc.description	Supervised by Dr. Md. Hasanul Kabir Associate Professor, Department of CSE Islamic University of Technology (IUT)	en_US
dc.description.abstract	Currently in the domain of breast cancer detection, biopsy and ultrasound imaging technique is being used. Between these two techniques biopsy is costly, time consuming and tissue damaging for patients. Ultrasound imaging technique is an easy alternative which needs experts to accurately detect breast lesion and it's type. In the BIRAD method of identi cation, Sonologists look for certain features of the malignant lesions. These malignant lesions in static image has some signi cant features which with 15-30% cases result in contradictory results. Most important feature that a breast lesion posses is it's tissue property ie. tissue destiny and the deforming mechanism. These properties are associated with the strain value when pressure is applied to the tissue. There are di erent ways the strain value can be calculated by using multiple images with di erent strain values. Generally,the malignant lesions exhibits more rigidity than the benign ones. From this motivation, optical ow algorithm has been implemented to calculate the strain value and compare it's measure of mean related to accuracy with cross correlation method used to calculate the strain values. From this motivation, we have gured out strain with higher accuracy adopting our \M- Filtered B-Mode Image Tissue Elasticity" estimation method. Higher the accuracy, higher will be the mean of the calculated strain. Satisfactory SNR (dB) results in our implemented method of optical ow which is promising for a classi cation with higher accuracy.	en_US
dc.language.iso	en	en_US
dc.publisher	IUT, CSE	en_US
dc.title	Strain Estimation and Detection of Cancerous Breast Lesion through ultrasound image	en_US
dc.type	Thesis	en_US