Virtual craniotomy for high-resolution optoacoustic brain microscopy.
Hector EstradaXiao HuangJohannes ReblingMichael ZwackSven GottschalkDaniel RazanskyPublished in: Scientific reports (2018)
Ultrasound-mediated transcranial images of the brain often suffer from acoustic distortions produced by the skull bone. In high-resolution optoacoustic microscopy, the skull-induced acoustic aberrations are known to impair image resolution and contrast, further skewing the location and intensity of the different absorbing structures. We present a virtual craniotomy deconvolution algorithm based on an ultrasound wave propagation model that corrects for the skull-induced distortions in optically-resolved optoacoustic transcranial microscopy data. The method takes advantage of the geometrical and spectral information of a pulse-echo ultrasound image of the skull simultaneously acquired by our multimodal imaging system. Transcranial mouse brain imaging experiments confirmed the ability to accurately account for the signal amplitude decay, temporal delay and pulse broadening introduced by the rodent's skull. Our study is the first to demonstrate skull-corrected transcranial optoacoustic imaging in vivo.
Keyphrases
- high resolution
- deep learning
- mass spectrometry
- magnetic resonance imaging
- high speed
- cerebral blood flow
- resting state
- optical coherence tomography
- blood pressure
- magnetic resonance
- high glucose
- single molecule
- machine learning
- tandem mass spectrometry
- white matter
- gene expression
- computed tomography
- high intensity
- contrast enhanced
- high throughput
- drug induced
- liquid chromatography
- functional connectivity
- pain management
- healthcare
- ultrasound guided
- cerebral ischemia
- big data
- electronic health record
- artificial intelligence
- multiple sclerosis
- social media
- chronic pain
- dna methylation
- single cell
- body composition
- diffusion weighted
- oxidative stress