Segmentation of Diplo(e) in a Tl Weighted 3D MR Image of Human Head
This paper presents the method to automatically segment the diploe in a Tl weighted three dimensional magnetic resonance image of human head. The method performs segmentation using a series of mathematical operations. A sphere is generated for interpolation of manually marked control points. The inner and outer boundaries of diploe are determined using thresholding and the deviated points are corrected via smoothing algorithm. As manual segmentation takes 6—8 hrs, this automatic tool will speed up the procedure manifolds and bring the segmentation time to 20 minutes. The results of automatic segmentation of ten different MR scans were compared against manual segmentation using different similarity measures. Dice coefficients values range between 97 percent to 99 percent and sensitivity and positive predictive values are more than 99 percent which shows very good segmentation.
Sahar Ahmad Anam Azam Madiha Agha Nida Maqbool Adnan Rashdi Muhammad Faisal Khan
National University of Sciences and Technology Military College of Signals Rawalpindi, Pakistan
国际会议
上海
英文
485-489
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）