@article{b3002199ba5f4c4ca7936230f95e16c3,
title = "Evaluating online filtering algorithms to enhance dynamic multispectral optoacoustic tomography",
abstract = "Multispectral optoacoustic tomography (MSOT) is an emerging imaging modality, which is able to capture data at high spatiotemporal resolution using rapid tuning of the excitation laser wavelength. However, owing to the necessity of imaging one wavelength at a time to the exclusion of others, forming a complete multispectral image requires multiple excitations over time, which may introduce aliasing due to underlying spectral dynamics or noise in the data. In order to mitigate this limitation, we have applied kinematic α and αβ filters to multispectral time series, providing an estimate of the underlying multispectral image at every point in time throughout data acquisition. We demonstrate the efficacy of these methods in suppressing the inter-frame noise present in dynamic multispectral image time courses using a multispectral Shepp-Logan phantom and mice bearing distinct renal cell carcinoma tumors. The gains in signal to noise ratio provided by these filters enable higher-fidelity downstream analysis such as spectral unmixing and improved hypothesis testing in quantifying the onset of signal changes during an oxygen gas challenge.",
keywords = "Dynamic response, Hemoglobin, Kidney tumor, Noise suppression, Oxygen, Photoacoustic imaging",
author = "Devin O'Kelly and Yihang Guo and Mason, {Ralph P.}",
note = "Funding Information: The research was supported in part by the National Institutes of Health (NIH) Grant No. 1 P50 CA196516 , and the assistance of the Southwestern Small Animal Imaging Resource through the NIH National Cancer Institute Cancer Center Support Grant No. 1P30 CA142543 . The iThera MSOT was purchased under NIH Grant 1 S10 OD018094-01A1 . We are grateful to Jeni Gerberich for her expert surgical assistance. XP373 tumor tissue was kindly provided by the UT Southwestern Kidney Cancer SPORE and we appreciate the collegial support of Drs. Kapur, Brugarolas and their staff in acquiring the XP373 tumor line. The RENCA-luc tumor line was kindly provided by Dr. Hans Hammers. Funding Information: The research was supported in part by the National Institutes of Health (NIH) Grant No. 1 P50 CA196516, and the assistance of the Southwestern Small Animal Imaging Resource through the NIH National Cancer Institute Cancer Center Support Grant No. 1P30 CA142543. The iThera MSOT was purchased under NIH Grant 1 S10 OD018094-01A1. We are grateful to Jeni Gerberich for her expert surgical assistance. XP373 tumor tissue was kindly provided by the UT Southwestern Kidney Cancer SPORE and we appreciate the collegial support of Drs. Kapur, Brugarolas and their staff in acquiring the XP373 tumor line. The RENCA-luc tumor line was kindly provided by Dr. Hans Hammers. Publisher Copyright: {\textcopyright} 2020 The Authors",
year = "2020",
month = sep,
doi = "10.1016/j.pacs.2020.100184",
language = "English (US)",
volume = "19",
journal = "Photoacoustics",
issn = "2213-5979",
publisher = "Elsevier GmbH",
}