Journal ArticleDOI
Multiwavelength three-dimensional near-infrared tomography of the breast: initial simulation, phantom, and clinical results
TLDR
The reconstructed tumor from the breast cancer patient was found to have a higher oxy-deoxy hemoglobin concentration and also a higher oxygen saturation level than the background, indicating a ductal carcinoma that corresponds well to histology findings.Abstract:
Three-dimensional (3D), multiwavelength near-infrared tomography has the potential to provide new physiological information about biological tissue function and pathological transformation. Fast and reliable measurements of multiwavelength data from multiple planes over a region of interest, together with adequate model-based nonlinear image reconstruction, form the major components of successful estimation of internal optical properties of the region. These images can then be used to examine the concentration of chromophores such as hemoglobin, deoxyhemoglobin, water, and lipids that in turn can serve to identify and characterize abnormalities located deep within the domain. We introduce and discuss a 3D modeling method and image reconstruction algorithm that is currently in place. Reconstructed images of optical properties are presented from simulated data, measured phantoms, and clinical data acquired from a breast cancer patient. It is shown that, with a relatively fast 3D inversion algorithm, useful images of optical absorption and scatter can be calculated with good separation and localization in all cases. It is also shown that, by use of the calculated optical absorption over a range of wavelengths, the oxygen saturation distribution of a tissue under investigation can be deduced from oxygenated and deoxygenated hemoglobin maps. With this method the reconstructed tumor from the breast cancer patient was found to have a higher oxy-deoxy hemoglobin concentration and also a higher oxygen saturation level than the background, indicating a ductal carcinoma that corresponds well to histology findings.read more
Citations
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Dissertation
Model-based high-density functional diffuse optical tomography of human brain
TL;DR: A computationally efficient finite element method (FEM)-based routine is established to conduct MRI-guided fDOT simulation studies and it is demonstrated that HD-fDOT is capable of imaging focal haemodynamic response up to 18 mm depth below the human scalp surface at 10 mm image resolution and localisation accuracy, allowing distinguishability of gyri.
Dissertation
Recovering the optical properties of a tissue using maximum a posteriori based estimation
TL;DR: The analysis of the results obtained from simulated skin data and phantoms suggests that the proposed MAP based method is a good parameter recovery technique that provides accurate estimates and is robust against a high level of uncertainty in the tissue's model.
Proceedings ArticleDOI
Approach of trans-rectal NIR optical tomography probing for the imaging of prostate with trans-rectal ultrasound correlation
TL;DR: This paper will demonstrate the design and initial evaluation of a trans-rectal NIR tomography probe that can conveniently integrate with a commercial TRUS transducer and provides the flexibility of simple correlation of trans- rectal Nir with TRUS, and using TRUS anatomic information as spatial prior for NIR image reconstruction.
Proceedings ArticleDOI
Image reconstruction strategies using dual modality MRI-NIR data
TL;DR: An imaging system which simultaneously performs near infrared (NIR) tomography and magnetic resonance imaging (MRI) has been developed at Dartmouth College, and the benefits of spatial and spectral priors in NIR diffuse tomography image reconstruction of in vivo measurements are presented.
Journal ArticleDOI
Detection of optical and mechanical property inhomogeneities in tissue mimicking phantoms using an ultrasound assisted optical probe
TL;DR: It is shown that there is a possibility of separating the contributions from elastic and optical properties of the insonified region using axial and transverse illuminations, and axial illumination is the best for mapping storage modulus inhomogeneities, but M is also affected by optical absorption.
References
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Journal ArticleDOI
Optical tomography in medical imaging
TL;DR: A review of methods for the forward and inverse problems in optical tomography can be found in this paper, where the authors focus on the highly scattering case found in applications in medical imaging, and to the problem of absorption and scattering reconstruction.
Journal ArticleDOI
Characterization of the near infrared absorption spectra of cytochrome aa3 and haemoglobin for the non-invasive monitoring of cerebral oxygenation.
TL;DR: The cytochrome aa3 spectrum in vivo from the brains of rats after replacing the blood with a fluorocarbon substitute is obtained and an algorithm for calculating the changes in oxygenated and deoxygenated haemoglobin and oxygenated cy tochrome a a3 in tissue from changes in near IR absorption is constructed.
Journal ArticleDOI
Concurrent MRI and diffuse optical tomography of breast after indocyanine green enhancement
TL;DR: It is found that DOT provides for localization and quantification of exogenous tissue chromophore concentrations and the use of ICG, an albumin bound absorbing dye in plasma, demonstrates the potential to differentiate disease based on the quantified enhancement of suspicious lesions.
Journal ArticleDOI
Imaging the body with diffuse optical tomography
David A. Boas,Dana H. Brooks,Eric L. Miller,Charles A. DiMarzio,Misha E. Kilmer,R.J. Gaudette,Quan Zhang +6 more
TL;DR: The basic idea of DOT is introduced, the history of optical methods in medicine is reviewed, and a review of the tissue's optical properties, modes of operation for DOT, and the challenges which the development of DOT must overcome are detailed.
Journal ArticleDOI
A finite element approach for modeling photon transport in tissue.
TL;DR: A finite element method for deriving photon density inside an object, and photon flux at its boundary, assuming that the photon transport model is the diffusion approximation to the radiative transfer equation, is introduced herein.