Fusion of multi-modality volumetric medical imagery

M. Aguilar1, J.R. New1
1Knowledge Systems Laboratory Mathematical, Computing and Information Sciences Department, Jacksonville State University, USA

Tóm tắt

Ongoing efforts at our laboratory have targeted the development of techniques for fusing medical imagery of various modalities (i.e. MRI, CT, PET, SPECT, etc.) into single image products. Past results have demonstrated the potential for user performance improvements and workload reduction. While these are positive results, a need exists to address the three-dimensional nature of most medical image data sets. In particular, image fusion of three-dimensional imagery (e.g. MRI slices) must account for information content not only within a given slice but also across adjacent slices. In this paper, we describe extensions made to our 2D image fusion system that utilize 3D convolution kernels to determine locally relevant fusion parameters., Representative examples are presented for fusion of MRI and SPECT imagery. We also present these examples in the context of a GUI platform under development aimed at improving user-computer interaction for exploration and mining of medical data.

Từ khóa

#Biomedical imaging #Magnetic resonance imaging #Image fusion #Laboratories #Computed tomography #Positron emission tomography #Convolution #Kernel #Graphical user interfaces #Data mining

Tài liệu tham khảo

10.1016/0166-2236(90)90117-S aguilar, 1998, Real-time fusion of low-light CCD and uncooled IR imagery for color night vision, Proc of SPIE Conf on Enhanced and Synthetic Vision, 3364 aguilar, 0, Neurophysiologically - Motivated sensor fusion for visualization and characterization of medical imagery, Proc of the Fourth International Conference on Information Fusion aguilar, 1997, Comparison of opponent- color neural processing and principal components analysis in the fusion of visible and thermal IR imagery, Proc of the Vision Recognition and Action Neural Models of Mind and Machine Conference grossberg, 1988, Neural Networks and Natural Intelligence