Optical based approach for brain tumor segmentation

Abstract

Tumor segmentation from magnetic resonance images (MRI) is an error-prone and time-absorbing process. In this paper, we propose a novel architecture adapting the Optical Scanning Holography (OSH) to the detection of tumors regions in MRI. The proposed method combines an off-axis optical scan, performed by a heterodyne fringe pattern, and a MR image display ensured by a spatial light modulator. The output quadrature component of the scanned current is collected digitally. Hence, a high-precision distribution of biological tissues is extracted. Its maximum position is exactly the one of the tumor. Meanwhile, this position is used in an Active Contour Model (ACM) to perform a fast segmentation of the extent corresponding to the tumors. Several images of brain tumors from BRATS database, with tumors having different contrast and form, are used to test the proposed system. Parameters reverted by the optical process are used to investigate the detection performance. Further, in terms of tumor segmentation, the proposed OSH-ACM process has high performance metrics compared to some of recently published method. The underlying physics of the precision superiority, presented by the OSH-ACM, is the high-precision extraction of the abnormal tissue regions by the quadrature component of the scanned current.