001     303018
005     20250722114136.0
024 7 _ |a 10.1117/1.JBO.30.7.076006
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024 7 _ |a 1083-3668
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024 7 _ |a 1560-2281
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037 _ _ |a DKFZ-2025-01465
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Dreher, Kris
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245 _ _ |a Anthropomorphic tissue-mimicking phantoms for oximetry validation in multispectral optical imaging.
260 _ _ |a Bellingham, Wash.
|c 2025
|b SPIE
336 7 _ |a article
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520 _ _ |a Optical 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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650 _ 7 |a anthropomorphic phantoms
|2 Other
650 _ 7 |a hyperspectral imaging
|2 Other
650 _ 7 |a optical imaging
|2 Other
650 _ 7 |a oximetry
|2 Other
650 _ 7 |a photoacoustic imaging
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650 _ 7 |a Oxygen
|0 S88TT14065
|2 NLM Chemicals
650 _ 7 |a Hemoglobins
|2 NLM Chemicals
650 _ 2 |a Phantoms, Imaging
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Oximetry: methods
|2 MeSH
650 _ 2 |a Oximetry: instrumentation
|2 MeSH
650 _ 2 |a Optical Imaging: methods
|2 MeSH
650 _ 2 |a Optical Imaging: instrumentation
|2 MeSH
650 _ 2 |a Photoacoustic Techniques: methods
|2 MeSH
650 _ 2 |a Oxygen: blood
|2 MeSH
650 _ 2 |a Forearm: diagnostic imaging
|2 MeSH
650 _ 2 |a Forearm: blood supply
|2 MeSH
650 _ 2 |a Hemoglobins: analysis
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging
|2 MeSH
700 1 _ |a Gröhl, Janek
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700 1 _ |a Grace, Friso
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700 1 _ |a Ayala, Leonardo
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700 1 _ |a Nölke, Jan-Hinrich
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700 1 _ |a Bender, Christoph Julien
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700 1 _ |a Watt, Melissa J
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700 1 _ |a White, Katie-Lou
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700 1 _ |a Tao, Ran
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700 1 _ |a Johnen, Wibke
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700 1 _ |a Tizabi, Minu D
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700 1 _ |a Seitel, Alexander
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700 1 _ |a Maier-Hein, Lena
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700 1 _ |a Bohndiek, Sarah E
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