Title :
Noninvasive automatic breast volume estimation for post-mastectomy breast reconstructive surgery
Author :
Passalis, G. ; Theoharis, T. ; Miller, M. ; Kakadiaris, I.A.
Author_Institution :
Dept. of Comput. Sci., Houston Univ., TX, USA
Abstract :
Automatic computation of breast volume data is required in post-mastectomy breast reconstructive surgery, where it is very useful to have an estimate of the volume of the tissue to be extracted in advance of the operation. Such an automated process is essential when conducting studies on large patient databases where manual volume estimation is both tedious and subjective. In this paper, we present a noninvasive automatic breast volume estimation method. It employs 3D scanned data of the torso. First, a surface underneath the breast that resembles a ´breast-less´ torso is automatically constructed, and then the volume of the breast is estimated as a function of the difference between the new surface and the actual breast. We have performed a number of experiments on both synthetic and real data with very encouraging results.
Keywords :
biological tissues; biomedical optical imaging; gynaecology; surface reconstruction; surgery; volume measurement; 3D scanned data; noninvasive automatic breast volume estimation; patient databases; post-mastectomy breast reconstructive surgery; tissue volume; torso; Breast; Current measurement; Data mining; Databases; Displacement measurement; Humans; Surface reconstruction; Surgery; Torso; Volume measurement;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1279533