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Anatomical Modeling and Optimization of Speckle Contrast Optical Tomography.
Lin, Chen-Hao P; Orukari, Inema; Frisk, Lisa Kobayashi; Verma, Manish; Chetia, Sumana; Beslija, Faruk; Eggebrecht, Adam T; Durduran, Turgut; Culver, Joseph P; Trobaugh, Jason W.
Afiliación
  • Lin CP; Department of Physics, Washington University in St. Louis, St. Louis, MO, 63130, USA.
  • Orukari I; Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
  • Frisk LK; Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
  • Verma M; ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
  • Chetia S; ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
  • Beslija F; ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
  • Eggebrecht AT; ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
  • Durduran T; Department of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
  • Culver JP; ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
  • Trobaugh JW; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
bioRxiv ; 2023 Sep 06.
Article en En | MEDLINE | ID: mdl-37732196
Traditional methods for mapping cerebral blood flow (CBF), such as positron emission tomography and magnetic resonance imaging, offer only isolated snapshots of CBF due to scanner logistics. Speckle contrast optical tomography (SCOT) is a promising optical technique for mapping CBF. However, while SCOT has been established in mice, the method has not yet been demonstrated in humans - partly due to a lack of anatomical reconstruction methods and uncertainty over the optimal design parameters. Herein we develop SCOT reconstruction methods that leverage MRI-based anatomical head models and finite-element modeling of the SCOT forward problem (NIRFASTer). We then simulate SCOT for CBF perturbations to evaluate sensitivity of imaging performance to exposure time and SD-distances. We find image resolution comparable to intensity-based diffuse optical tomography at superficial cortical tissue depth (~1.5 cm). Localization errors can be reduced by including longer SD-measurements. With longer exposure times speckle contrast decreases, however, noise decreases faster, resulting in a net increase in SNR. Specifically, extending exposure time from 10µs to 10ms increased SCOT SNR by 1000X. Overall, our modeling methods provide anatomically-based image reconstructions that can be used to evaluate a broad range of tissue conditions, measurement parameters, and noise sources and inform SCOT system design.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos