WarpDrive: Improving spatial normalization using manual refinements.
Simón OxenfordAna Sofía RíosBarbara HollunderClemens NeudorferAlexandre BoutetGavin J B EliasJurgen GermannAaron LohWissam DeebBryan SalvatoLeonardo AlmeidaKelly D FooteRobert AmaralPaul B RosenbergDavid F Tang-WaiDavid A WolkAnna D BurkeMarwan N SabbaghStephen SallowayM Mallar ChakravartyGwenn S SmithConstantine G LyketsosMichael S OkunWilliam S AndersonZoltan MariFrancisco A PonceAndres LozanoWolf-Julian NeumannBassam Al-FatlyAndreas HornPublished in: Medical image analysis (2023)
Spatial normalization-the process of mapping subject brain images to an average template brain-has evolved over the last 20+ years into a reliable method that facilitates the comparison of brain imaging results across patients, centers & modalities. While overall successful, sometimes, this automatic process yields suboptimal results, especially when dealing with brains with extensive neurodegeneration and atrophy patterns, or when high accuracy in specific regions is needed. Here we introduce WarpDrive, a novel tool for manual refinements of image alignment after automated registration. We show that the tool applied in a cohort of patients with Alzheimer's disease who underwent deep brain stimulation surgery helps create more accurate representations of the data as well as meaningful models to explain patient outcomes. The tool is built to handle any type of 3D imaging data, also allowing refinements in high-resolution imaging, including histology and multiple modalities to precisely aggregate multiple data sources together.
Keyphrases
- high resolution
- deep learning
- deep brain stimulation
- resting state
- electronic health record
- end stage renal disease
- white matter
- big data
- parkinson disease
- machine learning
- chronic kidney disease
- mass spectrometry
- ejection fraction
- newly diagnosed
- minimally invasive
- obsessive compulsive disorder
- functional connectivity
- high throughput
- working memory
- cognitive decline
- peritoneal dialysis
- convolutional neural network
- fluorescence imaging
- artificial intelligence
- molecularly imprinted
- coronary artery bypass
- photodynamic therapy
- atrial fibrillation
- neural network
- mild cognitive impairment