We have developed a novel parallel-plate diffuse optical tomography (DOT) system for threedimensional in vivo imaging of human breast tumor based on large optical data sets. Images of oxy-, deoxy-, total-hemoglobin concentration, blood oxygen saturation, and tissue scattering were reconstructed. Tumor margins were derived using the optical data with guidance from radiology reports and Magnetic Resonance Imaging. Tumor-to-normal ratios of these endogenous physiological parameters and an optical index were computed for 51 biopsy-proven lesions from 47 subjects. Malignant cancers (N=41) showed statistically significant higher total hemoglobin, oxy-NIH Public Access hemoglobin concentration, and scattering compared to normal tissue. Furthermore, malignant lesions exhibited a two-fold average increase in optical index. The influence of core biopsy on DOT results was also explored; the difference between the malignant group measured before core biopsy and the group measured more than one week after core biopsy was not significant. Benign tumors (N=10) did not exhibit statistical significance in the tumor-to-normal ratios of any parameter. Optical index and tumor-to-normal ratios of total hemoglobin, oxy-hemoglobin concentration, and scattering exhibited high area under the receiver operating characteristic curve values from 0.90 to 0.99, suggesting good discriminatory power. The data demonstrate that benign and malignant lesions can be distinguished by quantitative three-dimensional DOT.

We develop and validate a Modified Beer-Lambert law for blood flow based on diffuse correlation spectroscopy (DCS) measurements. The new formulation enables blood flow monitoring from temporal intensity autocorrelation function data taken at single or multiple delay-times. Consequentially, the speed of the optical blood flow measurement can be substantially increased. The scheme facilitates blood flow monitoring of highly scattering tissues in geometries wherein light propagation is diffusive or non-diffusive, and it is particularly well-suited for utilization with pressure measurement paradigms that employ differential flow signals to reduce contributions of superficial tissues. Tr. 108, 9-22 (2008

Objective Hypoxic-ischemic white mater brain injury commonly occurs in neonates with hypoplastic left heart syndrome (HLHS). Approximately half of the HLHS survivors exhibit neurobehavioral symptoms believed to be associated with this injury, though the exact timing of the injury is not known. Methods Neonates with HLHS were recruited for pre- and post-operative monitoring of cerebral oxygen saturation (ScO2), cerebral oxygen extraction fraction (OEF), and cerebral blood flow (CBF) using two non-invasive optical-based techniques, namely diffuse optical spectroscopy and diffuse correlation spectroscopy. Anatomical magnetic resonance imaging (MRI) scans were performed prior to and approximately one week after surgery in order to quantify the extent and timing of the acquired white matter injury. Risk factors for developing new or worsened white matter injury were assessed using uni- and multi-variate logistic regression. Results Thirty-seven neonates with HLHS were studied. In a univariate analysis, neonates who developed a large volume of new, or worsened, postoperative white matter injury had a significantly longer time-to-surgery (p=0.0003). In a multivariate model, longer time between birth and surgery (i.e., time-to-surgery), delayed sternal closure, and higher pre-operative CBF were predictors of post-operative white matter injury. Additionally, longer time-to-surgery and higher pre-operative CBF on morning of surgery were correlated with lower ScO2 (p=0.03 and p=0.05) and higher OEF (p=0.05 and p=0.05). Conclusions Longer time-to-surgery is associated with new post-operative white matter injury in otherwise healthy neonates with HLHS. The results suggest that earlier Norwood palliation may decrease the likelihood of acquiring postoperative white matter injury.

We introduce and validate a pressure measurement paradigm that reduces extracerebral contamination from superficial tissues in optical monitoring of cerebral blood flow with diffuse correlation spectroscopy (DCS). The scheme determines subject-specific contributions of extracerebral and cerebral tissues to the DCS signal by utilizing probe pressure modulation to induce variations in extracerebral blood flow. For analysis, the head is modeled as a two-layer medium and is probed with long and short source-detector separations. Then a combination of pressure modulation and a modified Beer-Lambert law for flow enables experimenters to linearly relate differential DCS signals to cerebral and extracerebral blood flow variation without a priori anatomical information. We demonstrate the algorithm's ability to isolate cerebral blood flow during a finger-tapping task and during graded scalp ischemia in healthy adults. Finally, we adapt the pressure modulation algorithm to ameliorate extracerebral contamination in monitoring of cerebral blood oxygenation and blood volume by near-infrared spectroscopy.