id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-323581-qtasvgtd	Zhang, Yu-Dong	Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation	2020-07-17		.txt	text/plain	29003	1517	43	We provide a review that encompasses (1) an overview of current challenges in multimodal fusion (2) the current medical applications of fusion for specific neurological diseases, (3) strengths and limitations of available imaging modalities, (4) fundamental fusion rules, (5) fusion quality assessment methods, and (6) the applications of fusion for atlas-based segmentation and quantification. Chapter 5 reviews the fundamental methods, which covers types, rules, atlas-based segmentation, decomposition, reconstruction, and quantification; Chapter 6 reviews subjective and objective assessment of data fusion in multimodal neuroimaging; Chapter 7 reviews the advantages of data fusion in improving the spatial/temporal resolution, distortion correction, and contrast; it also reviews the benefits of these advantages in fusing structural and functional images; Chapter 8 reviews atlas-based segmentations in multimodal imaging fusion; Chapter 9 reviews the quantification in multimodal neuroimaging fusion.	./cache/cord-323581-qtasvgtd.txt	./txt/cord-323581-qtasvgtd.txt