Evidence map›Paper›PMID 37732196›Full record

ArticlebioRxiv : the preprint server for biology2023

Anatomical Modeling and Optimization of Speckle Contrast Optical Tomography.

Chen-Hao P Lin, Inema Orukari, Lisa Kobayashi Frisk, Manish Verma, Sumana Chetia, Faruk Beslija, Adam T Eggebrecht, Turgut Durduran, Joseph P Culver, Jason W Trobaugh

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Chen-Hao P LinDepartment of Physics, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Inema OrukariDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Lisa Kobayashi FriskICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
Manish VermaICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
Sumana ChetiaICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
Faruk BeslijaICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
Adam T EggebrechtDepartment of Radiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Turgut DurduranICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels, Barcelona, Spain.
Joseph P CulverDepartment of Physics, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Jason W TrobaughDepartment of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.

Funding

WUIDDRC Supplement-Supporting the health and well-being of children with intellectual and developmental disability during COVID-19 pandemicP50HD103525 · NICHD · WASHINGTON UNIVERSITY · PI JOSEPH D DOUGHERTY, Natasha Marrus · 2020 to 2026
$15.5M
High-Sensitivity DOT for Mapping Human Brain FunctionR01NS090874 · NINDS · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2014 to 2025
$5.5M
21ST CENTURY IMAGING SCIENCES: GRADUATE STUDENT TRAININGT32EB014855 · NIBIB · WASHINGTON UNIVERSITY · PI JOSEPH P CULVER, JOSEPH A O'SULLIVAN · 2012 to 2026
$3.1M
HIGH-SENSITIVITY DOT FOR MAPPING HUMAN BRAIN FUNCTIONR01EB009233 · NIBIB · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P · 2009 to 2012
$1.6M
HIGH-DENSITY OPTICAL TOMOGRAPHY IN PATIENTS WITH COCHLEAR IMPLANTSR21DC016086 · NIDCD · WASHINGTON UNIVERSITY · PI CULVER, JOSEPH P, PEELLE, JONATHAN E · 2018 to 2019
$429k
NIBIB NIH HHS R01 EB009233NINDS NIH HHS R01 NS090874
6 · The paper itself

Abstract

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.

Indexed as

Brain imagingcerebral blood flowcortical mappinglaser speckle contrast tomographymathematical modeling

Identifiers

PMID37732196
PMCPMC10508753

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.