Biomedical subjects

Scott C Davis

Publications and source records attributed to Scott C Davis.

4 recordsLinked to original sources

PubMed2006

Spectrally resolved bioluminescence optical tomography.

Spectrally resolved bioluminescence optical tomography is an approach to recover images of luciferase activity within a volume using multiwavelength emission data from internal bioluminescence sources. The underlying problem of uniqueness associated with nonspectrally resolved intensity-based bioluminescence tomography is highlighted. Reconstructed images of bioluminescence are presented by using as input both simulated and real multiwavelength data from a tissue-simulating phantom. The location of the internal bioluminescence is obtained with 1 mm accuracy. Further, the amplitude of the reconstructed source is proportional to the actual bioluminescence intensity.

Imaging, Three-Dimensional↗

PubMed2003

A novel method for measuring dynamic changes in cell volume.

Many cell types regulate their volume in response to extracellular tonicity changes through a complex series of adaptive mechanisms. Several methods that are presently used to measure cell volume changes include Coulter counters, fluorescent techniques, electronic impedance, and video microscopy. Although these methods are widely used and accepted, there are limitations associated with each technique. This paper describes a new method to measure changes in cell volume based on the principle that fluid flow within a rigid system is well determined. For this study, cos-7 cells were plated to line the inner lumen of a glass capillary and stimulated to swell or shrink by altering the osmolarity of the perfusing solution. The cell capillary was connected in series with a blank reference capillary, and differential pressure changes across each tube were monitored. The advantages of this method include 1) ability to continuously monitor changes in volume during rapid solution changes, 2) independence from cell morphology, 3) presence of physiological conditions with cell surface contacts and cell-cell interactions, 4) no phototoxic effects such as those associated with fluorescent methods, and 5) ability to report from large populations of cells. With this method, we could detect the previously demonstrated enhanced volume regulation of cells overexpressing the membrane phosphoprotein phospholemman, which has been implicated in osmolyte transport.

Animals↗

PubMedDate not supplied

Contrast-detail analysis characterizing diffuse optical fluorescence tomography image reconstruction.

Contrast-detail analysis is used to evaluate the imaging performance of diffuse optical fluorescence tomography (DOFT), characterizing spatial resolution limits, signal-to-noise limits, and the trade-off between object contrast and size. Reconstructed images of fluorescence yield from simulated noisy data were used to determine the contrast-to-noise ratio (CNR). A threshold of CNR=3 was used to approximate a lowest acceptable noise level in the image, as a surrogate measure for human detection of objects. For objects 0.5 cm inside the edge of a simulated tissue region, the smallest diameter that met this criteria was approximately 1.7 mm, regardless of contrast level, and test field diameter had little impact on this limit. Object depth had substantial impact on object CNR, leading to a limit of 4 mm for objects near the center of a 51-mm test field and 8.5 mm for an 86-mm test field. Similarly, large objects near the edge of both test fields required a minimum contrast of 50% to achieve acceptable image CNR. The minimum contrast for large, centered objects ranged between 50% and 100%. Contrast-detail analysis using human detection of lower contrast limits provides fundamentally important information about the performance of reconstruction algorithms, and can be used to compare imaging performance of different systems.

Algorithms↗

PubMedDate not supplied

Image analysis methods for diffuse optical tomography.

Three major analytical tools in imaging science are summarized and demonstrated relative to optical imaging in vivo. Standard resolution testing is optimal when infinite contrast is used and hardware evaluation is the goal. However, deep tissue imaging of absorption or fluorescent contrast agents in vivo often presents a different problem, which requires contrast-detail analysis. This analysis shows that the minimum detectable sizes are in the range of 1/10 the outer diameter, whereas minimum detectable contrast values are in the range of 10 to 20% relative to the continuous background values. This is estimated for objects being in the center of the domain being imaged, and as the heterogeneous region becomes closer to the surface, the lower limit on size and contrast can become arbitrarily low and more dictated by hardware specifications. Finally, if human observer detection of abnormalities in the images is the goal, as is standard in most radiological practice, receiver operating characteristic (ROC) curve and location receiver operating characteristic curve (LROC) are used. Each of these three major areas of image interpretation and analysis are reviewed in the context of medical imaging as well as how they are used to quantify the performance of diffuse optical imaging of tissue.

Algorithms↗