TY - GEN
T1 - Accurate segmentation of breast tumors in ultrasound images using a custom-made active contour model and signal-to-noise ratio variations
AU - Daoud, Mohammad I.
AU - Baba, Mohammad M.
AU - Awwad, Falah
AU - Al-Najjar, Mahasen
AU - Tarawneh, Emad S.
PY - 2012
Y1 - 2012
N2 - Outlining tumors in ultrasound B-mode images is an important process in many diagnostic procedures, but manual tumor segmentation is usually a time-consuming and challenging task. This paper presents a custom-made active contour model that is specifically designed for segmenting tumors in ultrasound images. The algorithm starts by drawing a circular contour around a manually selected point inside the tumor. The vertices of the circular contour are iteratively moved from the interior of the tumor to the tumor boundary. The motion of the vertices is controlled using an ultrasound-based statistical parameter, called the envelope signal-to-noise ratio (SNR), that is sensitive to variations in tissue anatomy. The proposed algorithm has been used to outline breast tumors in 10 ultrasound B-mode images. When compared to tumor outlines delineated by a human expert, the outlines obtained using the proposed algorithm achieved sensitivity values as high as 96.98%. The proposed algorithm provides a simple and accurate method for tumor segmentation in ultrasound images.
AB - Outlining tumors in ultrasound B-mode images is an important process in many diagnostic procedures, but manual tumor segmentation is usually a time-consuming and challenging task. This paper presents a custom-made active contour model that is specifically designed for segmenting tumors in ultrasound images. The algorithm starts by drawing a circular contour around a manually selected point inside the tumor. The vertices of the circular contour are iteratively moved from the interior of the tumor to the tumor boundary. The motion of the vertices is controlled using an ultrasound-based statistical parameter, called the envelope signal-to-noise ratio (SNR), that is sensitive to variations in tissue anatomy. The proposed algorithm has been used to outline breast tumors in 10 ultrasound B-mode images. When compared to tumor outlines delineated by a human expert, the outlines obtained using the proposed algorithm achieved sensitivity values as high as 96.98%. The proposed algorithm provides a simple and accurate method for tumor segmentation in ultrasound images.
KW - Active contour models
KW - Cancer detection
KW - Computer-aided diagnosis tools
KW - Signal-to-noise ratio
KW - Tumor segmentation
KW - Ultrasound imaging
UR - http://www.scopus.com/inward/record.url?scp=84874044523&partnerID=8YFLogxK
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U2 - 10.1109/SITIS.2012.30
DO - 10.1109/SITIS.2012.30
M3 - Conference contribution
AN - SCOPUS:84874044523
SN - 9780769549118
T3 - 8th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2012r
SP - 137
EP - 141
BT - 8th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2012
T2 - 8th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2012
Y2 - 25 November 2012 through 29 November 2012
ER -