An Advanced MRI and MRSI Data Fusion Scheme for Enhancing Unsupervised Brain Tumor Differentiation

Proton Magnetic Resonance Spectroscopic Imaging (1H MRSI) has shown great potential in tumor diagnosis since it provides localized biochemical information discriminating different tissue types, though it typically has low spatial resolution. Magnetic Resonance Imaging (MRI) is widely used in tumor diagnosis as an in vivo tool due to its high resolution and excellent soft tissue discrimination. This paper presents an advanced data fusion scheme for brain tumor diagnosis using both MRSI and MRI data to improve the tumor differentiation accuracy of MRSI alone.

Source: Computers in Biology and Medicine - December 25, 2016 Category: Bioinformatics Authors: Yuqian Li, Xin Liu, Feng Wei, Diana M. Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Guang Hu, Yi Yao, Sabine Van Huffel Source Type: research