30 citations · 38 across the 7 of their papers we have counts for
8 papers · 1 filter
Evaluation of ultrasound sensors for transcranial photoacoustic sensing and imaging
Thomas Kirchner, Claus Villringer, Jan Laufer
Biomedical photoacoustic (PA) imaging is typically used to exploit absorption-based contrast in soft tissue at depths of several centimeters. When it is applied to measuring PA wav…
A micro-CT of a human skull
Thomas Kirchner
This is a data descriptor for an X-ray microtomography of a human skull.
Machine learning enabled multiple illumination quantitative optoacoustic imaging of blood oxygenation in humans
Thomas Kirchner, Michael Jaeger, Martin Frenz
Optoacoustic (OA) imaging is a promising modality for quantifying blood oxygen saturation (sO) in various biomedical applications - in diagnosis, monitoring of organ function o…
Quantitative photoacoustic oximetry imaging by multiple illumination learned spectral decoloring
Thomas Kirchner, Martin Frenz
Significance: Quantitative measurement of blood oxygen saturation (sO) with photoacoustic (PA) imaging is one of the most sought after goals of quantitative PA imaging research…
Photoacoustic monitoring of blood oxygenation during neurosurgical interventions
Thomas Kirchner, Janek Gröhl, Niklas Holzwarth +5
Multispectral photoacoustic (PA) imaging is a prime modality to monitor hemodynamics and changes in blood oxygenation (sO2). Although sO2 changes can be an indicator of brain activ…
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
Tim J. Adler, Lynton Ardizzone, Anant Vemuri +8
Purpose: Optical imaging is evolving as a key technique for advanced sensing in the operating room. Recent research has shown that machine learning algorithms can be used to addres…