Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …

Image processing techniques being crucial towards analyzing and resolving issues in
medical imaging since last two decades. Medical imaging is a process or technique to find …

The International Commission on Radiation Units and Measurements (ICRU), since its
inception in 1925, has had as its principal objective the development of internationally …

Tumors have a greater reliance on anaerobic glycolysis for energy production than normal
tissues. We developed a noninvasive method for imaging glucose uptake in vivo that is …

Accurate quantification in PET and SPECT requires correction for a number of physical
factors, such as photon attenuation, Compton scattering and random coincidences (in PET) …

In internal radionuclide therapy, a growing interest in voxel-level estimates of tissue-
absorbed dose has been driven by the desire to report radiobiologic quantities that account …

Purpose The purpose of this educational report is to provide an overview of the present state‐
of‐the‐art PET auto‐segmentation (PET‐AS) algorithms and their respective validation, with …

This paper aims to make a review on the current segmentation algorithms used for medical
images. Algorithms are classified according to their principal methodologies, namely the …

Detection of scattered gamma quanta degrades image contrast and quantitative accuracy of
single-photon emission computed tomography (SPECT) imaging. This paper reviews …

Background Accurate tumour response prediction to targeted therapy allows for
personalised conversion therapy for patients with unresectable colorectal cancer liver …