Data from: Rapid quantitative imaging of heterogenous tissue hemoglobin dynamics using spatial frequency domain imaging
Data files
Apr 29, 2026 version files 1.68 GB
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README.md
2.87 KB
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wkspc_Clarifi_OCC_Manuscript_DRYAD_250424.mat
1.68 GB
Abstract
In this study, the volar forearm skin of 13 subjects was imaged with spatial frequency domain imaging (SFDI) as they underwent the conditions of blood-pressure cuff occlusion and release. This vascular occlusion test (VOT) procedure is a well-known model to simulate conditions of arterial insufficiency. Oxygen saturation (StO2), superficial total hemoglobin (corresponding to the papillary dermis (HbT1)) and deep total hemoglobin (reticular dermis and below (HbT2)) were evaluated in regions with and without underlying veins to demonstrate the spatial variation of physiological changes measured by optical technologies.
Dataset DOI: 10.5061/dryad.vhhmgqp5t
Description of the data and file structure
An automated E20 Rapid Cuff Inflation System was set to inflate to 180 mmHg. Before imaging, the subject was seated comfortably, and the cuff was attached to their dominant upper arm. The subject remained in this position during the entire course of imaging. The imaging system was positioned over their volar forearm, and three sets of images were taken consecutively to measure baseline optical properties. Next, the automated cuff was inflated for 3 minutes to produce the occlusion and create arterial insufficiency. After this period, three images were taken at 30 second intervals then the cuff was rapidly deflated, and 3 more imaging sets were captured at 30 second intervals.
Files and variables
File: wkspc_Clarifi_OCC_Manuscript_DRYAD_250424.mat
Variables
- ClarifiOCC_Maps: MATLAB structure with nested fields. The first field Patient (1 x 27) has 13 non-empty rows. Each row represents one subject (empty rows facilitate the subject numbering used). Each row contains 3 structures: Pre (pre-occlusion or baseline), During (during occlusion ) and Post (post occlusion release). Each of these fields contains 3 maps of HbT1, HbT2, StO2 and calibrated reflectance at ~851nm. Maps are 1024 x 768 in size.
- ClarifiOCC_ROIsCirc: MATLAB structure with nested fields. The first field Patient (1 x 27) has 13 non-empty rows. (empty rows facilitate the subject numbering used). Each row containg 2 structures: Micro and Macro that contain data from the ROI. Each with the fields roi, a vector of all values within the ROI, mean,median, and std, with the named properties of the ROI data.
- ClarifiOCC_CIRC: MATLAB structure with nested fields. The first field Patient (1 x 27) has 13 non-empty rows. Each row represents one subject (empty rows facilitate the subject numbering used). Each row contains 9 structures (one for each measurement time point; 3 pre-occlusion, 3 during and 3 post-occlusion). Each measurement time point contains the Fields Macro and Micro, with variable circ that has the coordinates of the ROI center.
- ClarifiOCC_ValuesCirc: MATLAB Structure with 2 fields: Micro and Macro. Each of which contains structures, StO2, HbT1 and HbT2 which contain the mean and median values of these properties over the ROIs for all measurement time points.
Code/software
MATLAB (R2023a, MathWorks, Natick, MA)
Human subjects data
Subjects were recruited according to the University of California, Irvine’s Institutional Review Board under IRB protocol #2011-8370. All data has been de-identified.