EE Seminar: Gilad Kahala

~~Gilad Kahala
M.Sc. student under the supervision of Dr. Hedva Spitzer and Prof. Shai Avidan

Wednesday, March 4, 2015 at 15:00
Room 011, Kitot Bldg., Faculty of Engineering

Multi Scale Blood Vessels Detection and Segmentation in Breast MRI

A method is proposed to perform segmentation of blood vessels in 3D breast MRI. The blood vessels play an essential role as an additional tool to detect tumors. Radiologists use a maximum intensity projection for the understanding of vasculature. The breast is a challenging organ in detecting vascular structures, because of noise and fat tissues. There are several existing algorithms for the detection of blood vessels in MRI images, but these usually prove insufficient when it comes to the breast. Our algorithm provided a 3-dimensional model of the blood vessels by utilizing texture enhancement followed by hessian-based methods. In addition to this, we tackled blood vessel completion by employing center line tracking, where the seeds are the end points of detached blood vessels found through skeletonizing. The results were compared to the manually segmented golden models defined by radiologist in 20 different patients, which yielded an 88.73% match to the ground truth with 13.63% false positives. It appears that with the application of mass detection as the last step, our algorithm provides a helpful tool for tumor enhancement and an automated detection of breast cancer.

04 במרץ 2015, 15:00 
חדר 011, בניין כיתות-חשמל 
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