Summary of Cina: Conditional Implicit Neural Atlas For Spatio-temporal Representation Of Fetal Brains, by Maik Dannecker et al.
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
by Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
First submitted to arxiv on: 13 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Computer Vision and Pattern Recognition (cs.CV)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Conditional Implicit Neural Atlas (CINA) is a novel method for generating spatio-temporal atlases from Magnetic Resonance Images (MRI) of the neurotypical and pathological fetal brain. CINA learns a general representation of the fetal brain during training and encodes subject-specific information into latent code, enabling it to construct faithful atlases with tissue probability maps for any gestational age and anatomical variation within its training domain. The model can also be fit to unseen subjects via test-time optimization of the latent code, producing probabilistic tissue maps tailored to a particular subject. The authors evaluate CINA on 198 T2-weighted MRI scans from normal and abnormal fetal brains and demonstrate its capability to represent a fetal brain atlas that can be flexibly conditioned on gestational age and anatomical variations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary CINA is a new way to create detailed maps of the developing brain using MRI images. It helps doctors understand how healthy and unhealthy brains develop, which is important for diagnosing and treating conditions like ventriculomegaly. CINA can even predict the age of the fetus based on its brain development. This tool has potential to improve our understanding of fetal brain development and help us diagnose and treat neurological disorders more effectively. |
Keywords
* Artificial intelligence * Optimization * Probability
