Randomized multi-angle illumination for improved linear array photoacoustic computed tomography in brain.
Rayyan ManwarJuliana Benavides LaraRavi PrakashSeyed Mohsen RanjbaranKamran Mohammad AvanakiPublished in: Journal of biophotonics (2022)
One of the key challenges in linear array transducer-based photoacoustic computed tomography is to image structures embedded deep within the biological tissue with limited optical energy. Here, we utilized a manually controlled multi-angle illumination technique to allow the incident photons to interact with the imaging targets for longer periods of time and diffuse further in all directions. We have developed and optimized a compact probe that enables manual changes to the angle of illumination while acquiring photoacoustic signals. The performance has been demonstrated and evaluated by imaging complex blood vessel mimicking phantoms in-vitro and sheep brain samples ex-vivo. For effective image reconstruction from the data acquired by multi-angle illumination method, we have utilized a method based on the extraction of maximum intensity. In both cases, multi-angle illumination has out-performed the conventional fixed angle illumination technique to improve the overall image quality. Specifically, extraction of the imaging targets located at greater axial depths was possible using this multi-angle illumination technique.
Keyphrases
- high resolution
- computed tomography
- image quality
- mass spectrometry
- high speed
- positron emission tomography
- magnetic resonance imaging
- dual energy
- cardiovascular disease
- white matter
- fluorescence imaging
- clinical trial
- machine learning
- type diabetes
- open label
- low grade
- single molecule
- photodynamic therapy
- high intensity
- big data
- high throughput
- high grade
- phase ii
- pet ct
- cerebral ischemia
- high density
- data analysis