Automatic Segmentation of Multicellular Tumour Spheroids Images During Growing

Abstract

Image segmentation is an important topic in medical image processing. Multicellular tumour spheroids (MTS) are currently one of the most widely employed in vitro model for pre-clinical drug screening in cancer research. Assessing their growing requires the segmentation of images acquired at several time points. This paper presents the preliminary results of an approach for the automatic segmentation of multicellular tumour spheroids. The obtained segmentation accuracy is reasonable demonstrating that the approach proved adequate.

Keywords: 3D cellular spheroids; Image processing; Image segmentation; Level-set; Region Growing; Spheroids.