Multimodal medical image fusion consists in combining two or more images of the same or
different modalities aiming to improve the image content, and preserve information. The …

The medical image fusion is the process of coalescing multiple images from multiple
imaging modalities to obtain a fused image with a large amount of information for increasing …

Medical image fusion technique can help the physician to execute combined diagnosis,
preoperative planning, intraoperative guidance, and interventional treatment in many clinical …

To obtain maximum information and key features from the source images, enhance visual
quality and contrast of the fused image, and decrease computational task; an improved …

Computational imaging plays an important role in medical treatment for providing more
comprehensive medical images. This work proposes a new scheme to fuse computed …

Multimodal medical image fusion, which aims at integrating different multimodal information
into a single output, plays an important role in the clinical applicability of medical images …

Medical image fusion is a relevant area with widespread application in disease diagnosis
and prediction with easily available image scans of Computed Tomography, Positron …

Generally, the anatomical CT/MRI modalities exhibit the brain tissue anatomy with a high
spatial resolution, where PET/SPECT modalities show the metabolic features with low …

Extracting salient features from the medical images and combining them by an appropriate
algorithm are the key challenges of multimodal image fusion. The commonly used coefficient …

Medical imaging sensors, such as positron emission tomography and single-photon
emission computed tomography, can provide rich information, but each has its inherent …