PET/SPECT/MRI Multimodal Nanoparticles

Tang, Tang; Garcia, Joel; Louie, Angelique Y.

doi:10.1007/978-3-319-42169-8_10

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Multimodal Imaging Data Fusion: Challenges In Neuroimaging1

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“…Generally speaking, MRI imaging has good soft-tissue contrast resolution for most sequences, but its display of bone structure is relatively poor. PET imaging and SPECT imaging are not limited by the detection depth, with high imaging sensitivity, and are easy to quantify, but their spatial resolutions are low [11] . Optical imaging refers to the detection of fluorescence or bioluminescent dyes using the principle of light emission.…”

Section: Multimodal Imaging Data Fusion: Challenges In Neuroimagingmentioning

confidence: 99%

Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

et al. 2020

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Highlights We analysed over 450 references from all well-famed databases. We provided a comprehensive survey on multimodal data fusion in neuroimaging. This review encompassed current challenges & applications, strengths &limitations. Fundamental fusion rules, and fusion quality assessment methods were reviewed. Atlas-based fusion segmentation, quantification, & applications were reviewed.

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Section: Multimodal Imaging Data Fusion: Challenges In Neuroimagingmentioning

confidence: 99%