Single-photon emission computed tomography (SPECT) images alone are difficult to
understand in diagnosis, since anatomical structures are absent from the data. Studies on …

The development of various neuroimaging techniques is rapidly improving the
measurements of brain function/structure. However, despite improvements in individual …

Image modalities, such as computed tomography (CT), magnetic resonance imaging (MRI),
single‐photon emission computed tomography (SPECT), and so on, reflect various levels of …

The PET/SPECT image generates functional information of the human brain. In the field of
multimodal medical image fusion, the decomposition scheme of PET/SPECT image in …

Image fusion has become a widely used tool for increasing the interpretation quality of
images in medical applications. The acquired data might exhibit either good functional …

Medical imaging being a fast-expanding field, multimodal data fusion appears more and
more as a key element for the optimal use of images. By fusion, we mean the combination of …

Brain diseases such as degenerative (alzheimer's disease), neoplastic disease (brain tumor
like sarcoma, glioma) are considered an interesting topic areas in the medical image fusion …

Multimodal medical image fusion (MMIF) has a significant role for a better visualization of the
diagnostic statistics, those help the medical professionals in the precise diagnosis of several …

The undecimated discrete wavelet transform domain is used for fusing (UDWT). Medical
image fusion aims in the direction of coalescing several images out of multifarious sources …

It is difficult to extract both structural and functional information from the input grey magnetic
resonance imaging (MRI) and pseudo-color positron emission tomography (PET) images …