شماره ركورد كنفرانس :
3926
عنوان مقاله :
Segmentation of Pelvic Bone in STIR MRI With Active Contour
پديدآورندگان :
Ram Bejandi Parastoo prbejandi@gmail.com M.Sc. Student School of Mathematics and Computer Science Damghan University Damghan, Iran , Solaymani Fard Omid osfard@du.ac.ir Associate Professor School of Mathematics and Computer Science Damghan University Damghan, Iran , Haghighatkhah Hamidreza Drhrhaghighatkhah@yahoo.com Associate Professor Department of Radiology Medical Imaging Shahid Beheshti University of Medical Sciences, Tehran, Iran , Soltanian Zadeh Hamid hszadeh@ut.ac.ir Professor, CIPCE, School of Electrical and Computer Engineering University of Tehran Tehran, Iran
كليدواژه :
Active contour , Segmentation , STIR MRI ,
عنوان كنفرانس :
بيست و چهارمين كنفرانس مهندسي برق ايران
چكيده فارسي :
Intensity inhomogeneities often occur in STIR Sequence MR images. For this reason, segmentation of these images is challenging. In STIR images from pelvis, signal of bone marrow is similar to subcutaneous fat and adjacent muscular structures so bone marrow pathologic lesions could be hidden. In this paper, we propose a method for image segmentation of pelvic bones in STIR MR images. This method is an extension of active contour methods. In this method, radius of localization is adaptively determined for each point of the contour. We combine this local structure with RSF model and we use the edge information to reach an appropriate segmentation. The proposed model outperforms RSF model in segmenting the images that have intensity inhomogeneities. We apply our algorithm on more than 120 MRI slices of 6 subjects to show its accuracy. Finally, we compare the result of the proposed model with those of two other active contours models.
