The invention discloses a
brain development characteristic evolution analysis
system and method based on multi-mode brain image data. The
system comprises a
brain development map construction module, a
data acquisition module, a
data processing module and an evolution matching evaluation module. The method comprises the following steps: collecting demographic information and multi-
modal brain image data of multi-age healthy people, constructing a structure, and connecting and activating a three-dimensional group
brain development map; the method comprises the following steps:
processing individual data by adopting the same process, obtaining a multi-
modal brain
feature vector in a unified
brain region space, mapping the multi-
modal brain
feature vector to a corresponding group map space, calculating a deviation amount and combining a stability weight to obtain a fusion deviation index, identifying an abnormal
brain region according to the fusion deviation index, calculating an abnormal proportion and a risk change rate, and realizing brain development feature evolution analysis. According to the method, group evolution priori and individual multi-
modal data are fused, brain development can be dynamically and accurately evaluated, and the problems of static detection, group individual disjunction, insufficient multi-modal fusion and the like are solved.