Abstract #1971
A New Algorithm for the Fusion of MRSI & MRI on the Brain Tumour Diagnosis
Xin Liu 1 , Yuqian Li 1 , Yiming Pi 1 , Sofie Van Cauter 2 , Yi Yao 3,4 , and Jiunjie Wang 5
1
School of Electronic Engineering, University
of Electronic Science and Technology of China, Chengdu,
China,
2
Department
of Radiology, University Hospitals Leuven, Belgium,
3
School
of Communication and Information Engineering, University
of Electronic Science and Technology of China, Chengdu,
China,
4
National
Key Laboratory of Science and Technology on
Communications, China,
5
Department
of Medical Imaging and Radiological Sciences, ChangGung
University, Taiwan
Magnetic resonance imaging (MRI) is widely used for the
diagnosis of brain tumour. However, it failed to provide
information of metabolism. Magnetic resonance
spectroscopy imaging (MRSI) has shown great potentials
to reveal the tumour heterogeneity, yet, with relatively
poor resolution. The current study developed an
unsupervised data fusion method for brain abnormality
diagnosis. The accurate tissue sources from MRSI and the
high resolution spatial distribution from MRI can be
integrated and differentiated by using non-negative
matrix factorization. The in vivo experiments on
patients with brain tumour of low grade glioma and
glioblastoma multiforme demonstrated successful fusion
between MRSI data and MRI in brain tumour.
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