Meredith Kathryn Kupinski

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Scholarly Contributions

Journals/Publications

• Bradley, C., Chipman, R., Diner, D., Kupinski, M., & Xu, F. (2021).

  Angle of linear polarization images of outdoor scenes (Erratum)

  . Optical Engineering, 60(10). doi:10.1117/1.oe.60.10.109801
• Xu, F., Bradley, C. L., Chipman, R. A., Diner, D. J., & Kupinski, M. K. (2019).

  Angle of linear polarization images of outdoor scenes

  . Optical Engineering, 58(8), 1. doi:10.1117/1.oe.58.8.082419
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  Observations from the Ground-based Multiangle SpectroPolarimetric Imager (GroundMSPI) are used to relate angle of linear polarization (AoLP) measurements to material properties and illumination conditions in sunlit outdoor environments. GroundMSPI is a push-broom spectropolarimetric camera with an uncertainty in degree of linear polarization (DoLP) of ±0.005. This polarimetric accuracy yields useful AoLP images even when the DoLP is less than 0.02. AoLP images are reported with respect to dependency on surface texture, surface orientation, albedo, and illumination conditions. Agreement with well-known principles of polarized light scattering is illustrated, and several special cases are described. Expected observations of AoLP tangential to surface orientation and AoLP perpendicular to the scattering plane are reported. Significant changes in the AoLP are observed from common variations in outdoor illumination conditions. Also, simple variants in material properties change the dominant polarized light scattering process and thus the AoLP. Measurement examples that isolate a 90 deg AoLP flip are shown for a sunny and cloudy day as well as an object of high and low albedo.

Proceedings Publications

• Kupinski, M., Gmitro, A. F., & Rouse, A. R. (2016).

  Applying J-optimal channelized quadratic observers (J-CQO) to a clinical imaging study for ovarian cancer detection

  . In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).
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  The identification of blood vessels is an important image processing technique in several medical imaging applications. Detection of blood vessels in computed tomography (CT) images is essential in diagnosis and surgical planning. Computed tomography (CT) is a common imaging modality used for blood vessels imaging. It can provide a high quality images for both diagnosis and treatment purposes. However, it is known that CT is a source of high radiation dose especially for cases required a follow up scans in short time. Reducing the dose is knows to produce statistical noise and artifacts that significantly reduce the image quality. In this paper, we propose a method for three-dimensional (3D) blood vessel detection from CT images reconstructed from small number of projection views. The proposed method is implemented in two stages. First, is a preprocessing stage to reduce noise. In the second stage, we use skeletonization method to extract the centerline of 3D object. Then, we use the blood vessels skeleton to construct a graph model for 3D vascular network. Finally, we use the graph model to detect blood vessels. The proposed method is tested using 3D blood vessel-like phantom and good results are achieved.