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Automatically detecting the abnormality within cerebrospinal fluid space (CSF) from clinical non-enhanced computed tomography (NCT) images is significant since it can help diagnosis of many neurological diseases such as hydrocephalus and subarachnoid hemorrhage (SAH). However, extracting CSF space from NCT images is not easy, due to such factors as small size of CSF, partial volume effect due to large...
This paper describes a new method developed for fusion of X-ray and fluorescent molecular tomography (FMT) images. For easier diagnostics, images obtained from X-ray and FMT sources are fused to generate perceptibly informative image display using the spatial and spectral domain properties of the images. The basic premise in this research originates from the fact that in medical imaging not all the...
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