@article {1425,
	title = {Investigation of a 2D two-point maximum entropy regularization method for signal-to-noise ratio enhancement: application to CT polymer gel dosimetry},
	journal = {Physics in Medicine and Biology},
	volume = {51},
	number = {10},
	year = {2006},
	note = {ISI Document Delivery No.: 054NQTimes Cited: 13Cited Reference Count: 32},
	month = {May},
	pages = {2599-2617},
	type = {Article},
	abstract = {This study presents a new method of image signal-to-noise ratio (SNR) enhancement by utilizing a newly developed 2D two-point maximum entropy regularization method (TPMEM). When utilized as an image filter, it is shown that 2D TPMEM offers unsurpassed flexibility in its ability to balance the complementary requirements of image smoothness and fidelity. The technique is evaluated for use in the enhancement of x-ray computed tomography (CT) images of irradiated polymer gels used in radiation dosimetry. We utilize a range of statistical parameters (e.g. root-mean square error, correlation coefficient, error histograms, Fourier data) to characterize the performance of TPMEM applied to a series of synthetic images of varying initial SNR. These images are designed to mimic a range of dose intensity patterns that would occur in x-ray CT polymer gel radiation dosimetry. Analysis is extended to a CT image of a polymer gel dosimeter irradiated with a stereotactic radiation therapy dose distribution. Results indicate that TPMEM performs strikingly well on radiation dosimetry data, significantly enhancing the SNR of noise-corrupted images (SNR enhancement factors > 15 are possible) while minimally distorting the original image detail (as shown by the error histograms and Fourier data). It is also noted that application of this new TPMEM filter is not restricted exclusively to x-ray CT polymer gel dosimetry image data but can in future be extended to a wide range of radiation dosimetry data.},
	keywords = {ASTRONOMY, DECONVOLUTION, DOSE DISTRIBUTIONS, FT-RAMAN, IMAGE-RESTORATION, RADIATION, RESOLUTION, SPECTRA, TOMOGRAPHY, X-RAY},
	isbn = {0031-9155},
	url = {<Go to ISI>://000238384700016},
	author = {Jirasek, A. and Matthews, Q. and Hilts, M. and Schulze, G. and Blades, M. W. and Burner, R. F. B.}
}
@article {648,
	title = {Revealing system dynamics through decomposition of the perturbation domain in two-dimensional correlation spectroscopy},
	journal = {Applied Spectroscopy},
	volume = {57},
	number = {12},
	year = {2003},
	note = {ISI Document Delivery No.: 753MHTimes Cited: 5Cited Reference Count: 36},
	month = {Dec},
	pages = {1551-1560},
	type = {Article},
	abstract = {A technique is presented to simply and effectively decompose the perturbation domain in two-dimensional (2D) correlation maps calculated on a given set of vibrational spectra. Decomposition of the perturbation domain exposes a wealth of kinetic information complementary to the information extracted from conventional 2D correlation spectroscopy. It is shown that the technique produces "perturbation profile maps" that can be utilized in both the interpretation of the conventional 2D correlation maps and the independent kinetic analysis of the given system. Discrimination between spectral features exhibiting similar, but not identical, dynamics is facilitated by the decomposition, and spectral features exhibiting identical dynamics over the perturbation interval are quickly identified. Spectral features exhibiting similar dynamics over only a sub-range of the full perturbation are also identifiable. Interpretation of phase information illuminated in synchronous and asynchronous maps is simplified. Comparison between similar spectral features present in different samples is facilitated with the technique. The simplicity and ease of implementation of the technique make decomposition of the perturbation domain a valuable addition to the tools available in 2D correlation analysis.},
	keywords = {cross-correlation, FT-RAMAN, HUMAN, INFRARED CORRELATION SPECTROSCOPY, multivariate data, POLYACRYLAMIDE GELS, POLYMER GEL DOSIMETERS, RADIATION-DOSIMETRY, Raman spectroscopy, SAMPLE-SAMPLE, SECONDARY STRUCTURE, SERUM-ALBUMIN, SPECTRA, STRUCTURAL-CHANGES, two-dimensional correlation spectroscopy},
	isbn = {0003-7028},
	url = {<Go to ISI>://000187234800013},
	author = {Jirasek, A. and Schulze, G. and Blades, M. W. and Turner, R. F. B.}
}
@article {648,
	title = {Revealing system dynamics through decomposition of the perturbation domain in two-dimensional correlation spectroscopy},
	journal = {Applied Spectroscopy},
	volume = {57},
	number = {12},
	year = {2003},
	note = {ISI Document Delivery No.: 753MHTimes Cited: 5Cited Reference Count: 36},
	month = {Dec},
	pages = {1551-1560},
	type = {Article},
	abstract = {A technique is presented to simply and effectively decompose the perturbation domain in two-dimensional (2D) correlation maps calculated on a given set of vibrational spectra. Decomposition of the perturbation domain exposes a wealth of kinetic information complementary to the information extracted from conventional 2D correlation spectroscopy. It is shown that the technique produces "perturbation profile maps" that can be utilized in both the interpretation of the conventional 2D correlation maps and the independent kinetic analysis of the given system. Discrimination between spectral features exhibiting similar, but not identical, dynamics is facilitated by the decomposition, and spectral features exhibiting identical dynamics over the perturbation interval are quickly identified. Spectral features exhibiting similar dynamics over only a sub-range of the full perturbation are also identifiable. Interpretation of phase information illuminated in synchronous and asynchronous maps is simplified. Comparison between similar spectral features present in different samples is facilitated with the technique. The simplicity and ease of implementation of the technique make decomposition of the perturbation domain a valuable addition to the tools available in 2D correlation analysis.},
	keywords = {cross-correlation, FT-RAMAN, HUMAN, INFRARED CORRELATION SPECTROSCOPY, multivariate data, POLYACRYLAMIDE GELS, POLYMER GEL DOSIMETERS, RADIATION-DOSIMETRY, Raman spectroscopy, SAMPLE-SAMPLE, SECONDARY STRUCTURE, SERUM-ALBUMIN, SPECTRA, STRUCTURAL-CHANGES, two-dimensional correlation spectroscopy},
	isbn = {0003-7028},
	url = {<Go to ISI>://000187234800013},
	author = {Jirasek, A. and Schulze, G. and Blades, M. W. and Turner, R. F. B.}
}
