Spatiotemporal shape models capture the dynamics of shape change over time and are an essential tool for monitoring and measuring anatomical growth or degeneration. In this paper we evaluate non-parametric shape regression on the challenging problem of modeling early childhood sub-cortical development starting from birth. Due to the flexibility of the model, it can be challenging to choose parameters which lead to a good model fit yet does not over fit. We systematically test a variety of parameter settings to evaluate model fit as well as the sensitivity of the method to specific parameters, and we explore the impact of missing data on model estimation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503845PMC
http://dx.doi.org/10.1117/12.2513030DOI Listing

Publication Analysis

Top Keywords

modeling early
8
early childhood
8
childhood sub-cortical
8
sub-cortical development
8
model fit
8
model
5
model selection
4
selection spatiotemporal
4
spatiotemporal modeling
4
development spatiotemporal
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!