494 research outputs found

    The clinical utilities of multi-pinhole single photon emission computed tomography

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    Single photon emission computed tomography (SPECT) is an important imaging modality for various applications in nuclear medicine. The use of multi-pinhole (MPH) collimators can provide superior resolution-sensitivity trade-off when imaging small field-of-view compared to conventional parallel-hole and fan-beam collimators. Besides the very successful application in small animal imaging, there has been a resurgence of the use of MPH collimators for clinical cardiac and brain studies, as well as other small field-of-view applications. This article reviews the basic principles of MPH collimators and introduces currently available and proposed clinical MPH SPECT systems

    Stationary, MR-compatible brain SPECT imaging based on multi-pinhole collimators

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    Visualization of Brown Fat Using X-ray Dark Field Imaging

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    Introduction: Obesity has become a major societal issue. Many researchers are looking for ways to combat this growing epidemic. Brown adipose tissue (BAT) might be a way to help individuals overcome the challenges associated with weight loss and maintenance of weight loss, but a better understanding of BAT and how to control and utilize it is needed. BAT differs from white adipose tissue (WAT) in that BAT is rich with mitochondria and therefore is metabolically active. BAT is a source of non-shivering thermogenesis and can be activated both by cold exposure and pharmacologically. Current methods of assessing BAT activity are invasive; a noninvasive method to visualize BAT is highly desirable. X-ray interferometry may be applicable to BAT imaging. Interferometry yields three images from one acquisition: an absorption image, a dark-field (DF) image, and a phase contrast image. The absorption image represents attenuation by the material, equivalent to conventional x-ray imaging; the phase contrast image shows refraction at interfaces through which the beam travels. Small angle scatter caused by microscopic structures in the material cause the DF image; DF has potential interest for BAT visualization. This study evaluated DF imaging as a means to image BAT. The expectation was the large number of mitochondria in BAT will cause a large DF signal, and furthermore that BAT activated by cold exposure would have a different DF signal than BAT at normal conditions. Materials and Methods: Mice were kept for one week at 8ยฐC to activate BAT; control mice were kept at 22ยฐC. Biochemical markers were used to verify BAT activation by the cold exposure regimen. DF images of cold-exposed and control mice were assessed visually and by region-of-interest analysis to determine if activated BAT could be distinguished from tissue in the same region in control mice. Absorption images provided the identification of an intrascapular region of interest for examination in the DF images. In vivo 99mTc-sestamibi SPECT was used as an independent means to assess BAT activation. Results: Biochemical markers showed that the cold exposure regimen caused activation of intrascapular BAT as well as the beiging of inguinal WAT; only the intrascapular BAT region was investigated by DF imaging. A region between the scapula and posterior to the spine was apparent in both 8ยฐC and 22ยฐC mice; this region did not show substantial differences in DF signal between the two groups, however. Region of interest analysis of the SPECT images showed increased uptake in the intrascapular region for cold-exposed mice, but the increase was not substantial enough to allow direct visual observation. Conclusion: Both absorption and DF imaging were capable of contrasting BAT depots from adjacent tissue in the intrascapular region. However, no significant difference in DF signal was seen for this intrascapular BAT between the cold-exposed group and the mice kept at 22ยฐC. This indicated that BAT activation did not result in cellular changes, such as changes in cell size or number of mitochondria, that would alter the small-angle scattering signal

    Doctor of Philosophy

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    dissertationSingle Photon Emission Computed Tomography (SPECT) myocardial perfusion imaging (MPI), a noninvasive and effective method for diagnosing coronary artery disease (CAD), is the most commonly performed SPECT procedure. Hence, it is not surprising that there is a tremendous market need for dedicated cardiac SPECT scanners. In this dissertation, a novel dedicated stationary cardiac SPECT system that using a segmented-parallel-hole collimator is investigated in detail. This stationary SPECT system can acquire true dynamic SPECT images and is inexpensive to build. A segmented-parallel-hole collimator was designed to fit the existing general-purpose SPECT cameras without any mechanical modifications of the scanner while providing higher detection sensitivity. With a segmented-parallel-hole collimator, each detector was segmented to seven sub-detector regions, providing seven projections simultaneously. Fourteen view-angles over 180 degree were obtained in total with two detectors positioned at 90 degree apart. The whole system was able to provide an approximate 34-fold gain in sensitivity over the conventional single-head SPECT system. The potential drawbacks of the stationary cardiac SPECT system are data truncation from small field of view (FOV) and limited number of view angles. A tailored maximum-likelihood expectation-maximization (ML-EM) algorithm was derived for reconstruction of truncated projections with few view angles. The artifacts caused by truncation and insufficient number of views were suppressed by reducing the image updating step sizes of the pixels outside the FOV. The performance of the tailored ML-EM algorithm was verified by computer simulations and phantom experiments. Compared with the conventional ML-EM algorithm, the tailored ML-EM algorithm successfully suppresses the streak artifacts outside the FOV and reduces the distortion inside the FOV. At 10 views, the tailored ML-EM algorithm has a much lower mean squared error (MSE) and higher relative contrast. In addition, special attention was given to handle the zero-valued projections in the image reconstruction. There are two categories of zero values in the projection data: one is outside the boundary of the object and the other is inside the object region, which is caused by count starvation. A positive weighting factor c was introduced to the ML-EM algorithm. By setting c>1 for zero values outside the projection, the boundary in the image is well preserved even at extremely low iterations. The black lines, caused by the zero values inside the object region, are completely removed by setting 0< c<1. Finally, the segmented-parallel-hole collimator was fabricated and calibrated using a point source. Closed-form explicit expressions for the slant angles and rotation radius were derived from the proposed system geometry. The geometric parameters were estimated independently or jointly. Monte Carlo simulations and real emission data were used to evaluate the proposed calibration method and the stationary cardiac system. The simulation results show that the difference between the estimated and the actual value is less than 0.1 degree for the slant angles and the 5 mm for the rotation radius, which is well below the detector's intrinsic resolution

    Development of radiation transport techniques for modelling a high-resolution multi-energy photon emission tomography system

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    โ€Nondestructive characterization techniques such as gamma tomography represent powerful tools for the analysis and quantification of physical defects and radionuclide concentrations within nuclear fuel forms. Gamma emission tomography, in particular, has the ability to utilize the inherent radiation within spent nuclear fuel to provide users with information about the migration and concentration of fission and activation products within the fuel form. Idaho National Laboratory is interested in using this technology to analyze new nuclear fuel forms for potential use in next generation nuclear reactors. In this work, two aspect of the system are analyzed. The first is a semi-analytic radiation transport methodology in conjunction with a parallel beam collimator developed to facilitate the acquisition of data from Monte-Carlo modeling of a small submersible gamma tomography system, with a focus on emission information. The second is a pinhole collimator designed to optimize count rates, diameter, and acceptance angle to increase the sampling of the fuel forms to decrease data acquisition time. Utilizing the semi-analytical technique, computational savings of 107-1011 can be achieved with a degradation in accuracy of 1845% compared to a standard isotropic uniform Monte-Carlo N Particle transport simulation. However, this loss in accuracy can be minimized by increasing the parallel beam collimatorโ€™s aspect ratio where it tends towards a degenerate cylinder. The semianalytic technique is also compared to inbuilt acceleration techniques. The pinhole collimator design yields count rates on the order of 100s-1000s which represents a 101-102 increase in actual count rates over the entirety of the photon spectrumโ€--Abstract, page iv

    An extension to artifact-free projection overlaps

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    Purpose: In multipinhole single photon emission computed tomography, the overlapping of projections has been used to increase sensitivity. Avoiding artifacts in the reconstructed image associated with projection overlaps (multiplexing) is a critical issue. In our previous report, two types of artifactfree projection overlaps, i.e., projection overlaps that do not lead to artifacts in the reconstructed image, were formally defined and proved, and were validated via simulations. In this work, a new proposition is introduced to extend the previously defined type-II artifact-free projection overlaps so that a broader range of artifact-free overlaps is accommodated. One practical purpose of the new extension is to design a baffle window multipinhole system with artifact-free projection overlaps. Methods: First, the extended type-II artifact-free overlap was theoretically defined and proved. The new proposition accommodates the situation where the extended type-II artifact-free projection overlaps can be produced with incorrectly reconstructed portions in the reconstructed image. Next, to validate the theory, the extended-type-II artifact-free overlaps were employed in designing the multiplexing multipinhole spiral orbit imaging systems with a baffle window. Numerical validations were performed via simulations, where the corresponding 1-pinhole nonmultiplexing reconstruction results were used as the benchmark for artifact-free reconstructions. The mean square error (MSE) was the metric used for comparisons of noise-free reconstructed images. Noisy reconstructions were also performed as part of the validations.Results: Simulation results show that for noise-free reconstructions, the MSEs of the reconstructed images of the artifact-free multiplexing systems are very similar to those of the corresponding 1-pinhole systems. No artifacts were observed in the reconstructed images. Therefore, the testing results for artifact-free multiplexing systems designed using the extended type-II artifact-free overlaps numerically validated the developed theory. Conclusions: First, the extension itself is of theoretical importance because it broadens the selection range for optimizing multiplexing multipinhole designs. Second, the extension has an immediate application: using a baffle window to design a special spiral orbit multipinhole imaging system with projection overlaps in the orbit axial direction. Such an artifact-free baffle window design makes it possible for us to image any axial portion of interest of a long object with projection overlaps to increase sensitivity

    The impact of system matrix dimension on small FOV SPECT reconstruction with truncated projections

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    Purpose: A dedicated cardiac hybrid single photon emission computed tomography (SPECT)/CT scanner that uses cadmium zinc telluride detectors and multiple pinhole collimators for stationary acquisition offers many advantages. However, the impact of the reconstruction system matrix (SM) dimension on the reconstructed image quality from truncated projections and 19 angular samples acquired on this scanner has not been extensively investigated. In this study, the authors aimed to investigate the impact of the dimensions of SM and the use of body contour derived from adjunctive CT imaging as an object support in reconstruction on this scanner, in relation to background extracardiac activity. Methods: The authors first simulated a generic SPECT/CT system to image four NCAT phantoms with various levels of extracardiac activity and compared the reconstructions using SM in different dimensions and with/without body contour as a support for quantitative evaluations. The authors then compared the reconstructions of 18 patient studies, which were acquired on a GE Discovery NM570c scanner following injection of different radiotracers, including 99mTc-Tetrofosmin and 123I-mIBG, comparing the scanner\u27s default SM that incompletely covers the body with a large SM that incorporates a patient specific full body contour. Results: The simulation studies showed that the reconstructions using a SM that only partially covers the body yielded artifacts on the edge of the field of view (FOV), overestimation of activity and increased nonuniformity in the blood pool for the phantoms with higher relative levels of extracardiac activity. However, the impact on the quantitative accuracy in the high activity region such as the myocardium, was subtle. On the other hand, an excessively large SM that enclosed the entire body alleviated the artifacts and reduced overestimation in the blood pool, but yielded slight underestimation in myocardium and defect regions. The reconstruction using the larger SM with body contour yielded the most quantitatively accurate results in all the regions of interest for a range of uptake levels in the extracardiac regions. In patient studies, the SM incorporating patient specific body contour minimized extracardiac artifacts, yielded similar myocardial activity, lower blood pool activity, and subsequently improved myocardium-to-blood pool contrast (p\u3c0.0001) by an average of 7% (range 0%-18%) across all the patients, compared to the reconstructions using the scanner\u27s default SM. Conclusions: Their results demonstrate that using a large SM that incorporates a CT derived body contour in the reconstruction could improve quantitative accuracy within the FOV for clinical studies with high extracardiac activity

    Development of Pinhole X-ray Fluorescence Imaging System to Measure in vivo Biodistribution of Gold Nanoparticles

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ์œตํ•ฉ๊ณผํ•™๋ถ€,2019. 8. ์˜ˆ์„ฑ์ค€.๋ชฉ์ : ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉํ‘œ๋Š” ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ์ฒด๋‚ด ๋†๋„ ๋ถ„ํฌ ์ธก์ •์„ ์œ„ํ•œ ํ•€ํ™€ ์—‘์Šค์„  ํ˜•๊ด‘ ์˜์ƒ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๊ณ , ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ์ฅ์˜ ์ฒด๋‚ด ๊ธˆ๋‚˜๋…ธ์ž…์ž ๋ถ„ํฌ ์˜์ƒ์„ ํš๋“ํ•˜์—ฌ ๊ฐœ๋ฐœ ์˜์ƒ์‹œ์Šคํ…œ์ด ์ „์ž„์ƒ์‹œํ—˜์— ํ™œ์šฉ ๊ฐ€๋Šฅํ•จ์„ ์‹คํ—˜์ ์œผ๋กœ ์ฆ๋ช…ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. 2์ฐจ์› cadmium zinc telluride (CZT) ๊ฐ๋งˆ ์นด๋ฉ”๋ผ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ K-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์‹ ํ˜ธ๋ฅผ ์ธก์ •ํ•จ์œผ๋กœ์จ, ์˜์ƒ ํš๋“ ์‹œ๊ฐ„๊ณผ ํ”ผํญ ๋ฐฉ์‚ฌ์„ ๋Ÿ‰์„ ์ค„์ผ ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ๋Š” ์ƒ˜ํ”Œ์˜ ๋ณต์žกํ•œ ์ „์ฒ˜๋ฆฌ ๊ณผ์ • ์—†์ด ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ์ฒด์™ธ ๋†๋„๋ฅผ ์ธก์ •ํ•  ์ˆ˜ ์žˆ๋Š” silicon drift detector (SDD)๋ฅผ ์‚ฌ์šฉํ•œ L-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์ธก์ • ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋ฐฉ๋ฒ•: ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ๋†๋„์™€ K-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์‹ ํ˜ธ ์‚ฌ์ด์˜ ๊ต์ • ๊ณก์„ ์„ ํš๋“ํ•˜๊ธฐ ์œ„ํ•ด 0.0 wt%, 0.125 wt%, 0.25 wt%, 0.5 wt%, 1.0 wt%, 2.0 wt%์˜ ๊ธˆ๋‚˜๋…ธ์ž…์ž ์ƒ˜ํ”Œ์„ ๋ฐ˜์ง€๋ฆ„ 2.5 cm์ธ ์•„ํฌ๋ฆด ํŒฌํ†ฐ์— ์‚ฝ์ž…ํ•˜์—ฌ 140 kVp ์—‘์Šค์„ ์„ 1๋ถ„์”ฉ ์กฐ์‚ฌํ•˜์˜€๋‹ค. K-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์‹ ํ˜ธ๋Š” ๊ธˆ๋‚˜๋…ธ์ž…์ž๊ฐ€ ์‚ฝ์ž…๋˜์–ด ์žˆ๋Š” ์•„ํฌ๋ฆด ํŒฌํ†ฐ์œผ๋กœ๋ถ€ํ„ฐ ์ธก์ •ํ•œ ์—‘์Šค์„  ์ŠคํŽ™ํŠธ๋Ÿผ์—์„œ ๊ธˆ๋‚˜๋…ธ์ž…์ž๊ฐ€ ์‚ฝ์ž…๋˜์–ด ์žˆ์ง€ ์•Š์€ ์•„ํฌ๋ฆด ํŒฌํ†ฐ์œผ๋กœ๋ถ€ํ„ฐ ์ธก์ •ํ•œ ์—‘์Šค์„  ์ŠคํŽ™ํŠธ๋Ÿผ์˜ ์ฐจ์ด๋ฅผ ํ†ตํ•ด ์ถ”์ถœํ•˜์˜€๋‹ค. ๊ธˆ๋‚˜๋…ธ์ž…์ž ์ฃผ์ž… ํ›„ ์ธก์ • ๋ฐ์ดํ„ฐ๋งŒ์œผ๋กœ ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ์—‘์Šค์„  ํ˜•๊ด‘ ์˜์ƒ์„ ํš๋“ํ•˜๊ธฐ ์œ„ํ•ด ์ธ๊ณต์ง€๋Šฅ convolutional neural network (CNN) ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ณ  ์ ์šฉํ•˜์˜€๋‹ค. ์‹คํ—˜์šฉ ์ฅ๋กœ๋ถ€ํ„ฐ ์ถ”์ถœํ•œ ์žฅ๊ธฐ์˜ ๊ธˆ๋‚˜๋…ธ์ž…์ž ๋†๋„ ์ธก์ •์„ ์œ„ํ•ด L-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์‹œ์Šคํ…œ์ธก์ •์„ ๊ฐœ๋ฐœํ•˜์˜€์œผ๋ฉฐ, ์ด ์‹œ์Šคํ…œ์€ SDD ์ธก์ •๊ธฐ์™€ 40 kVp์˜ ์„ ์›์„ ์ด์šฉํ•˜์—ฌ 2.34 ฮผg โ€“ 300 ฮผg (๊ธˆ๋‚˜๋…ธ์ž…์ž)/30 mg (๋ฌผ) (0.0078 wt%-1.0 wt%)์˜ ๊ธˆ๋‚˜๋…ธ์ž…์ž์™€ L-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์‹ ํ˜ธ ์‚ฌ์ด์˜ ๊ต์ • ๊ณก์„ ์„ ์–ป์–ด ์žฅ๊ธฐ ๋‚ด ์ถ•์ ๋œ ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ์งˆ๋Ÿ‰์„ ์ธก์ •ํ•˜์˜€๋‹ค. ํ•€ํ™€ ์—‘์Šค์„  ํ˜•๊ด‘ ์˜์ƒ์‹œ์Šคํ…œ์„ ์ด์šฉํ•˜์—ฌ ์‹คํ—˜์šฉ ์ฅ์— ๊ธˆ๋‚˜๋…ธ์ž…์ž๋ฅผ ์ฃผ์ž… ํ›„ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ์‹ ์žฅ ๋‚ด ๊ธˆ๋‚˜๋…ธ์ž…์ž ๋†๋„ ์˜์ƒ์„ ํš๋“ํ•˜์˜€๋‹ค. ์•ˆ๋ฝ์‚ฌ ํ›„ ์ ์ถœํ•œ ์–‘์ชฝ ์‹ ์žฅ, ๊ฐ„, ๋น„์žฅ, ํ˜ˆ์•ก์˜ ๊ธˆ๋‚˜๋…ธ์ž…์ž ๋†๋„๋ฅผ L-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์ฒด์™ธ ์ธก์ • ์‹œ์Šคํ…œ๊ณผ ICP-AES๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ธก์ •ํ•˜์˜€๊ณ  ์˜์ƒ์‹œ์Šคํ…œ์„ ํ†ตํ•ด ํš๋“ํ•œ ๋†๋„์™€ ๋น„๊ตยท๊ฒ€์ฆํ•˜์˜€๋‹ค. ์˜์ƒ ํš๋“ ์‹œ ์‹คํ—˜์šฉ ์ฅ์— ์กฐ์‚ฌ๋˜๋Š” ๋ฐฉ์‚ฌ์„ ๋Ÿ‰์€ TLD๋ฅผ ์‹คํ—˜์šฉ ์ฅ์˜ ํ”ผ๋ถ€์— ๋ถ™์—ฌ ์ธก์ •ํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ: ์—‘์Šค์„  ํ˜•๊ด‘ ์˜์ƒ ๋ถ„์„์„ ํ†ตํ•ด ์ธก์ •ํ•œ ์‹คํ—˜์šฉ ์ฅ์˜ ์˜ค๋ฅธ์ชฝ ์‹ ์žฅ ๋‚ด ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ๋†๋„๋Š” ์ฃผ์ž… ์งํ›„ 1.58ยฑ0.15 wt%์˜€์œผ๋ฉฐ, 60๋ถ„ ํ›„ ๊ทธ ๋†๋„๋Š” 0.77ยฑ0.29 wt%๋กœ ๊ฐ์†Œํ•˜์˜€๋‹ค. ๊ฐœ๋ฐœํ•œ ์ธ๊ณต์ง€๋Šฅ CNN ๋ชจ๋ธ์„ ์ ์šฉํ•ด ๊ธˆ๋‚˜๋…ธ์ž…์ž ์ฃผ์ž… ์ „ ์˜์ƒ์˜ ํš๋“ ์—†์ด ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ์—‘์Šค์„  ํ˜•๊ด‘ ์˜์ƒ์„ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ ์ถœํ•œ ์žฅ๊ธฐ์—์„œ ์ธก์ •๋œ ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ์‹ ์žฅ ๋‚ด ๋†๋„๋Š” L-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์ธก์ •๋ฒ•์œผ๋กœ 0.96ยฑ0.22 wt%, ICP-AES๋กœ๋Š” 1.00ยฑ0.50 wt% ์˜€๋‹ค. ์˜์ƒ ํš๋“ ์‹œ ์‹คํ—˜์šฉ ์ฅ์˜ ํ”ผ๋ถ€์— ์ „๋‹ฌ๋œ ๋ฐฉ์‚ฌ์„ ๋Ÿ‰์€ ๊ธˆ๋‚˜๋…ธ์ž…์ž ์ฃผ์ž… ์ „๊ณผ ํ›„ ์˜์ƒ์„ ๋ชจ๋‘ ํš๋“ ์‹œ(์ด 2๋ถ„) 107ยฑ4 mGy, CNN ๋ชจ๋ธ ์ ์šฉ ์‹œ(1๋ถ„) 53ยฑ2 mGy๋กœ ์ธก์ •๋˜์—ˆ๋‹ค. ๊ฒฐ๋ก : 2์ฐจ์› CZT ๊ฐ๋งˆ ์นด๋ฉ”๋ผ์™€ ํ•€ํ™€ ์ฝœ๋ฆฌ๋ฉ”์ดํ„ฐ๋ฅผ ์‚ฌ์šฉํ•œ ์—‘์Šค์„  ํ˜•๊ด‘ ์˜์ƒ์‹œ์Šคํ…œ์€ ์˜์ƒ ํš๋“ ์‹œ๊ฐ„๊ณผ ํ”ผํญ ๋ฐฉ์‚ฌ์„ ๋Ÿ‰์„ ํฌ๊ฒŒ ๊ฐ์†Œ์‹œ์ผฐ์œผ๋ฉฐ, ์‚ด์•„์žˆ๋Š” ์ฅ์˜ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ์ฒด๋‚ด ๊ธˆ๋‚˜๋…ธ์ž…์ž ๋ถ„ํฌ ๋ณ€ํ™”๋ฅผ ์˜์ƒํ™” ํ•  ์ˆ˜ ์žˆ์Œ์„ ์ฆ๋ช…ํ•˜์˜€๋‹ค. ๋˜ํ•œ L-shell ์—‘์Šค์„  ํ˜•๊ด‘ ์ธก์ • ์‹œ์Šคํ…œ์€ ๋ณต์žกํ•œ ์ „์ฒ˜๋ฆฌ ๊ณผ์ • ์—†์ด ์ฒด์™ธ ๊ธˆ๋‚˜๋…ธ์ž…์ž์˜ ๋†๋„๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์ธก์ •ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ณธ ๊ฐœ๋ฐœ ์‹œ์Šคํ…œ์„ ๊ธˆ์†๋‚˜๋…ธ์ž…์ž์˜ ์ฒด๋‚ด ๋ถ„ํฌ ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•œ ์ „์ž„์ƒ์‹œํ—˜์šฉ ๋ถ„์ž์˜์ƒ์žฅ๋น„๋กœ์„œ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค.Purpose: This work aims to show the experimental feasibility for a dynamic in vivo X-ray fluorescence (XRF) imaging of gold in living mice exposed to gold nanoparticles (GNPs) using polychromatic X-rays. By collecting K-shell XRF photons using a 2D cadmium zinc telluride (CZT) gamma camera, the imaging system was expected to have a short image acquisition time and deliver a low radiation dose. This study also investigated the feasibility of using an L-shell XRF detection system with a single-pixel silicon drift detector (SDD) to measure ex vivo GNP concentrations from biological samples. Methods: Six GNP columns of 0 % by weight (wt%), 0.125 wt%, 0.25 wt%, 0.5 wt%, 1.0 wt% and 2.0 wt% inserted in a 2.5 cm diameter polymethyl methacrylate (PMMA) phantom were used for acquiring a linear regression curve between the concentrations of GNPs and the K-shell XRF photons emitted from GNPs. A fan-beam of 140 kVp X-rays irradiated the phantom for 1 min in each GNP sample. The photon spectra were measured by the CZT gamma camera. The K-shell XRF counts were derived by subtracting the photon counts of the 0 wt% PMMA phantom (i.e., pre-scanning) from the photon counts of the GNP-loaded phantom (i.e., post-scanning). Furthermore, a 2D convolutional neural network (CNN) was applied to generate the K-shell XRF counts from the post-scanned data without the pre-scanning. For a more sensitive detection of the ex vivo concentrations of GNPs in the biological samples, the L-shell XRF detection system using the single-pixel SDD was developed. Six GNP samples of 2.34 ฮผgโ€“300 ฮผg Au/30 mg water (i.e., 0.0078 wt%โ€“1.0 wt% GNPs) were used for acquiring a calibration curve to correlate the GNP mass to the L-shell XRF counts. The kidney slices of three Balb/C mice were scanned at various periods after the injection of GNPs in order to acquire the quantitative information of GNPs. The concentrations of GNPs measured by the CZT gamma camera and the SDD were cross-compared and then validated by inductively coupled plasma atomic emission spectroscopy (ICP-AES). The radiation dose was assessed by the measurement of TLDs attached to the skin of the mice. Results: The K-shell XRF images showed that the concentration of GNPs in the right kidneys from the mice was 1.58ยฑ0.15 wt% at T = 0 min after the injection. At T = 60 min after the injection, the concentration of GNPs in the right kidneys was reduced to 0.77ยฑ0.29 wt%. The K-shell XRF images generated by the 2D CNN were similar to those derived by the direct subtraction method. The measured ex vivo concentration of GNPs was 0.96ยฑ0.22 wt% by the L-shell XRF detection system while it was 1.00ยฑ0.50 wt% by ICP-AES. The radiation dose delivered to the skin of the mice was 107ยฑ4 mGy for acquiring one slice image by using the direct subtraction method while it was 53ยฑ2 mGy by using the 2D CNN. Conclusions: A pinhole K-shell XRF imaging system with a 2D CZT gamma camera showed a dramatically reduced scan time and delivered a low radiation dose. Hence, a dynamic in vivo XRF imaging of gold in living mice exposed to GNPs was technically feasible in a benchtop configuration. In addition, an L-shell XRF detection system can be used to measure ex vivo concentrations of GNPs in biological samples. This imaging system could provide a potential in vivo molecular imaging for metal nanoparticles to emerge as a radiosensitizer and a drug-delivery agent in preclinical studies.CHAPTER I. INTRODUCTION 1 I.1 Applications of Metal Nanoparticles in Medicine 1 I.2 Molecular Imaging of Metal Nanoparticles 3 I.3 X-ray Fluorescence Imaging 5 I.3.1 Principle of X-ray Fluorescence Imaging 5 I.3.2 History of X-ray Fluorescence Imaging 8 I.3.3 Specific Aims 12 CHAPTER II. MATERIAL AND METHODS 15 II.1 Monte Carlo Model 15 II.1.1 Geometry of Monte Carlo Simulations 15 II.1.2 Image Processing 21 II.1.3 Radiation Dose 27 II.2 Development of Pinhole K-shell XRF Imaging System 28 II.2.1 System Configuration and Operation Scheme 28 II.2.2 Pinhole K-shell XRF Imaging System 31 II.2.2.1 Experimental Setup 31 II.2.2.2 Measurement of K-shell XRF Signal 36 II.2.2.3 Signal Processing: Correction Factors 39 II.2.2.4 Application of Convolutional Neural Network 42 II.2.3 K-shell XRF Detection System 45 II.2.3.1 Experimental Setup 45 II.2.3.2 Signal Processing 47 II.2.4 L-shell XRF Detection System 49 II.2.4.1 Experimental Setup 49 II.2.4.2 Signal Processing 51 II.3 In vivo Study in Mice 53 II.3.1 Experimental Setup 53 II.3.2 Dose Measurement 56 CHAPTER III. RESULTS 57 III.1 Monte Carlo Model 57 III.1.1 Geometric Efficiency, System and Energy Resolution 57 III.1.2 K-shell XRF Image by Monte Carlo Simulations 59 III.1.3 Radiation Dose 69 III.2. Development of Pinhole XRF Imaging System 70 III.2.1 Pinhole K-shell XRF Imaging System 70 III.2.1.1 Energy Calibration and Measurement of Field Size 70 III.2.1.2 Raw K-shell XRF Signal 73 III.2.1.3 Correction Factors 78 III.2.1.4 K-shell XRF Image 81 III.2.2 K-shell XRF Detection System 85 III.2.3 L-shell XRF Detection System 89 III.3 In vivo Study in Mice 92 III.3.1 In vivo K-shell XRF Image 92 III.3.2 Quantification of GNPs in Living Mice 96 III.3.3 Dose Measurement 101 CHAPTER IV. DISCUSSION 102 IV.1 Monte Carlo Model 102 IV.2 Development of Pinhole K-shell XRF Imaging System 104 IV.2.1 Quantification of GNPs 105 IV.2.2 Comparison between MC and Experimental Results 107 IV.2.3 Limitations 108 IV.2.3.1 Concentration 108 IV.2.3.2 System Resolution 110 IV.2.3.3 Radiation Dose 111 IV.2.4 Application of CNN 112 IV.2.5 Future Work 114 CHAPTER V. CONCLUSIONS 115 REFERENCES 116 ABSTRACT (in Korean) 123Docto

    Systematic evaluation of 99mTc-tetrofosmin versus 99mTc-sestamibi to study murine myocardial perfusion in small animal SPECT/CT

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    Background: The โ€œback-translationโ€ of clinically available protocols to measure myocardial perfusion to preclinical imaging in mouse models of human disease is attractive for basic biomedical research. With respect to singlephoton emission computed tomography (SPECT) approaches, clinical myocardial perfusion imaging protocols are established with different 99mTc-labeled perfusion tracers; however, studies evaluating and optimizing protocols for these tracers in high-resolution pinhole SPECT in mice are lacking. This study aims at evaluating two clinically available 99mTc-labeled myocardial perfusion tracers (99mTc-sestamibi vs. 99mTc-Tetrofosmin) in mice using four different imaging protocols. Methods: Adult C57BL/6 male mice were injected with 99mTc-sestamibi (MIBI) or 99mTc-Tetrofosmin (TETRO) (4 MBq/g body weight) either intravenously through the tail vein (n = 5) or retroorbitally (n = 5) or intraperitoneally (i. p.) under anesthesia (n = 3) or i.p. in an awake state (n = 3) at rest. Immediately after injection, a multi-frame singlephoton emission computed tomography/computed tomography (SPECT/CT) acquisition was initiated with six subsequent time frames of 10 min each. Reconstructed images of the different protocols were assessed and compared by visual analysis by experts and by time-activity-curves generated from regions-of-interest for various organs (normalized uptake values). Results: Visually assessing overall image quality, the best image quality was found for MIBI for both intravenous injection protocols, whereas TETRO only had comparable image quality after retroorbital injections. These results were confirmed by quantitative analysis where left ventricular (LV) uptake of MIBI after tail vein injections was found significantly higher for all time points accompanied with a significantly slower washout of 16% for MIBI vs. 33% for TETRO (p = 0.009) from 10 to 60 min post injection (PI). Interestingly, LV washout from 10 to 60 min PI was significantly higher for TETRO when applied by tail vein injections when compared to retroorbital injections (22%, p = 0.008). However, liver uptake was significant and comparable for both tracers at all time points. Radioactivity concentration in the lungs was negligible for all time points and both tracers. Conclusion: Intravenous MIBI injection (both tail vein and retroorbital) results in the best image quality for assessing myocardial perfusion of the murine heart by SPECT/CT. TETRO has a comparable image quality only for the retroorbital injection route
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