Matches in SemOpenAlex for { <https://semopenalex.org/work/W2937718116> ?p ?o ?g. }
- W2937718116 abstract "Enhanced resolution of 7 T magnetic resonance imaging (MRI) scanners has considerably advanced our knowledge of structure and function in human and animal brains. Post-industrialized countries are particularly prone to an ever-increasing number of ageing individuals and ageing-associated neurodegenerative diseases. Neurodegenerative diseases are associated with volume loss in the affected brain. MRI diagnoses and monitoring of subtle volume changes in the ageing/diseased brains have the potential to become standard diagnostic tools. Even with the superior resolution of 7 T MRI scanners, the microstructural changes comprising cell types, cell numbers, and cellular processes, are still undetectable. Knowledge of origin, nature, and progression for microstructural changes are necessary to understand pathogenetic stages in the relentless neurodegenerative diseases, as well as to develop therapeutic tools that delay or stop neurodegenerative processes at their earliest stage. We illustrate the gap in resolution by comparing the identical regions of the post-mortem in situ 7 T MR images (virtual autopsy or virtopsy) with the histological observations in serial sections through the same brain. We also described the protocols and limitations associated with these comparisons, as well as the necessity of supercomputers and data management for Big data. Analysis of neuron and/or glial number by using a body of mathematical tools and guidelines (stereology) is time-consuming, cumbersome, and still restricted to trained human investigators. Development of tools based on machine learning (ML) and artificial intelligence (AI) could considerably accelerate studies on localization, onset, and progression of neuron loss. Finally, these observations could disentangle the mechanisms of volume loss into stages of reversible atrophy and/or irreversible fatal cell death. This AI- and ML-based cooperation between virtopsy and histology could bridge the present gap between virtual reality and neuropathology. It could also culminate in the creation of an imaging-associated comprehensive database. This database would include genetic, clinical, epidemiological, and technical aspects that could help to alleviate or even stop the adverse effects of neurodegenerative diseases on affected individuals, their families, and society." @default.
- W2937718116 created "2019-04-25" @default.
- W2937718116 creator A5002021708 @default.
- W2937718116 creator A5003878251 @default.
- W2937718116 creator A5011676742 @default.
- W2937718116 creator A5033604636 @default.
- W2937718116 creator A5034657358 @default.
- W2937718116 creator A5036404331 @default.
- W2937718116 creator A5038445110 @default.
- W2937718116 creator A5047430660 @default.
- W2937718116 creator A5058004932 @default.
- W2937718116 creator A5060993278 @default.
- W2937718116 creator A5087152172 @default.
- W2937718116 date "2019-03-07" @default.
- W2937718116 modified "2023-10-14" @default.
- W2937718116 title "The role of artificial intelligence and machine learning in harmonization of high-resolution post-mortem MRI (virtopsy) with respect to brain microstructure" @default.
- W2937718116 cites W155544782 @default.
- W2937718116 cites W1810343284 @default.
- W2937718116 cites W1947166207 @default.
- W2937718116 cites W1957115003 @default.
- W2937718116 cites W1971176190 @default.
- W2937718116 cites W1973000876 @default.
- W2937718116 cites W1974695557 @default.
- W2937718116 cites W1975019648 @default.
- W2937718116 cites W1983081205 @default.
- W2937718116 cites W1985178977 @default.
- W2937718116 cites W1986791416 @default.
- W2937718116 cites W1993023011 @default.
- W2937718116 cites W1994067502 @default.
- W2937718116 cites W1997243905 @default.
- W2937718116 cites W1999155208 @default.
- W2937718116 cites W2001719925 @default.
- W2937718116 cites W2003707464 @default.
- W2937718116 cites W2010460856 @default.
- W2937718116 cites W2013854477 @default.
- W2937718116 cites W2020788167 @default.
- W2937718116 cites W2034491173 @default.
- W2937718116 cites W2037192432 @default.
- W2937718116 cites W2043483833 @default.
- W2937718116 cites W2049100671 @default.
- W2937718116 cites W2051111914 @default.
- W2937718116 cites W2052742260 @default.
- W2937718116 cites W2054512182 @default.
- W2937718116 cites W2057214619 @default.
- W2937718116 cites W2058443303 @default.
- W2937718116 cites W2075684611 @default.
- W2937718116 cites W2077053123 @default.
- W2937718116 cites W2077350268 @default.
- W2937718116 cites W2078558859 @default.
- W2937718116 cites W2081320913 @default.
- W2937718116 cites W2081533023 @default.
- W2937718116 cites W2082429191 @default.
- W2937718116 cites W2082506470 @default.
- W2937718116 cites W2085564008 @default.
- W2937718116 cites W2087404207 @default.
- W2937718116 cites W2093374391 @default.
- W2937718116 cites W2094425858 @default.
- W2937718116 cites W2094503343 @default.
- W2937718116 cites W2095556814 @default.
- W2937718116 cites W2097750812 @default.
- W2937718116 cites W2105382539 @default.
- W2937718116 cites W2107063005 @default.
- W2937718116 cites W2119174316 @default.
- W2937718116 cites W2123052863 @default.
- W2937718116 cites W2132448692 @default.
- W2937718116 cites W2141526623 @default.
- W2937718116 cites W2149818687 @default.
- W2937718116 cites W2155600929 @default.
- W2937718116 cites W2156387032 @default.
- W2937718116 cites W2164856255 @default.
- W2937718116 cites W2170978105 @default.
- W2937718116 cites W2180036713 @default.
- W2937718116 cites W2231858474 @default.
- W2937718116 cites W2236052113 @default.
- W2937718116 cites W2249286505 @default.
- W2937718116 cites W2262766247 @default.
- W2937718116 cites W2300445845 @default.
- W2937718116 cites W2339432679 @default.
- W2937718116 cites W2395136005 @default.
- W2937718116 cites W2426768808 @default.
- W2937718116 cites W2432783729 @default.
- W2937718116 cites W2471229930 @default.
- W2937718116 cites W2478178513 @default.
- W2937718116 cites W2513816257 @default.
- W2937718116 cites W2525398374 @default.
- W2937718116 cites W2529555629 @default.
- W2937718116 cites W2594610976 @default.
- W2937718116 cites W2617784095 @default.
- W2937718116 cites W2716569900 @default.
- W2937718116 cites W2762896436 @default.
- W2937718116 cites W2766644613 @default.
- W2937718116 cites W2770704336 @default.
- W2937718116 cites W2771049431 @default.
- W2937718116 cites W2771870843 @default.
- W2937718116 cites W2774124979 @default.
- W2937718116 cites W2780727099 @default.
- W2937718116 cites W2792390847 @default.
- W2937718116 cites W2799640735 @default.
- W2937718116 cites W2799851348 @default.
- W2937718116 cites W2801394998 @default.