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000303018 1001_ $$0P:(DE-He78)84acbc6406dd178828f87a8150d40951$$aDreher, Kris$$b0$$eFirst author$$udkfz
000303018 245__ $$aAnthropomorphic tissue-mimicking phantoms for oximetry validation in multispectral optical imaging.
000303018 260__ $$aBellingham, Wash.$$bSPIE$$c2025
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000303018 520__ $$aOptical imaging of blood oxygenation ( sO 2 ) can be achieved based on the differential absorption spectra of oxy- and deoxyhemoglobin. A key challenge in realizing clinical validation of the sO 2 biomarkers is the absence of reliable sO 2 reference standards, including test objects.To enable quantitative testing of multispectral imaging methods for assessment of sO 2 by introducing anthropomorphic phantoms with appropriate tissue-mimicking optical properties.We used the stable copolymer-in-oil base material to create physical anthropomorphic structures and optimized dyes to mimic the optical absorption of blood across a wide spectral range. Using 3D-printed phantom molds generated from a magnetic resonance image of a human forearm, we molded the material into an anthropomorphic shape. Using both reflectance hyperspectral imaging (HSI) and photoacoustic tomography (PAT), we acquired images of the forearm phantoms and evaluated the performance of linear spectral unmixing (LSU).Based on 10 fabricated forearm phantoms with vessel-like structures featuring five distinct sO 2 levels (between 0 and 100%), we showed that the measured absorption spectra of the material correlated well with HSI and PAT data with a Pearson correlation coefficient consistently above 0.8. Further, the application of LSU enabled a quantification of the mean absolute error in sO 2 assessment with HSI and PAT.Our anthropomorphic tissue-mimicking phantoms hold potential to provide a robust tool for developing, standardising, and validating optical imaging of sO 2 .
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000303018 650_7 $$2Other$$aanthropomorphic phantoms
000303018 650_7 $$2Other$$ahyperspectral imaging
000303018 650_7 $$2Other$$aoptical imaging
000303018 650_7 $$2Other$$aoximetry
000303018 650_7 $$2Other$$aphotoacoustic imaging
000303018 650_7 $$0S88TT14065$$2NLM Chemicals$$aOxygen
000303018 650_7 $$2NLM Chemicals$$aHemoglobins
000303018 650_2 $$2MeSH$$aPhantoms, Imaging
000303018 650_2 $$2MeSH$$aHumans
000303018 650_2 $$2MeSH$$aOximetry: methods
000303018 650_2 $$2MeSH$$aOximetry: instrumentation
000303018 650_2 $$2MeSH$$aOptical Imaging: methods
000303018 650_2 $$2MeSH$$aOptical Imaging: instrumentation
000303018 650_2 $$2MeSH$$aPhotoacoustic Techniques: methods
000303018 650_2 $$2MeSH$$aOxygen: blood
000303018 650_2 $$2MeSH$$aForearm: diagnostic imaging
000303018 650_2 $$2MeSH$$aForearm: blood supply
000303018 650_2 $$2MeSH$$aHemoglobins: analysis
000303018 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000303018 7001_ $$aGröhl, Janek$$b1
000303018 7001_ $$0P:(DE-He78)e11cf856e352f1a69e8be45184c56c63$$aGrace, Friso$$b2$$udkfz
000303018 7001_ $$00000-0002-3574-2085$$aAyala, Leonardo$$b3
000303018 7001_ $$0P:(DE-He78)43c9f8e1d3e09ccede1867dcc07d56b4$$aNölke, Jan-Hinrich$$b4$$udkfz
000303018 7001_ $$0P:(DE-He78)d9c9ea92e3b697685f4b4c3bd6d063ad$$aBender, Christoph Julien$$b5$$udkfz
000303018 7001_ $$00009-0001-7943-2484$$aWatt, Melissa J$$b6
000303018 7001_ $$aWhite, Katie-Lou$$b7
000303018 7001_ $$00009-0000-1217-1219$$aTao, Ran$$b8
000303018 7001_ $$0P:(DE-He78)5c55eb63ee2ad2499f7dda0ed08c571b$$aJohnen, Wibke$$b9$$udkfz
000303018 7001_ $$0P:(DE-He78)26651d9aa10255ad4f35610a56aa91e8$$aTizabi, Minu D$$b10$$udkfz
000303018 7001_ $$0P:(DE-He78)a83df473f58a6a8ef43263ec9783ecf0$$aSeitel, Alexander$$b11$$udkfz
000303018 7001_ $$0P:(DE-He78)26a1176cd8450660333a012075050072$$aMaier-Hein, Lena$$b12$$eLast author$$udkfz
000303018 7001_ $$00000-0003-0371-8635$$aBohndiek, Sarah E$$b13
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