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    Crepuscular Rays for Tumor Accessibility Planning

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    Doctor of Philosophy

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    dissertationVisualization and exploration of volumetric datasets has been an active area of research for over two decades. During this period, volumetric datasets used by domain users have evolved from univariate to multivariate. The volume datasets are typically explored and classified via transfer function design and visualized using direct volume rendering. To improve classification results and to enable the exploration of multivariate volume datasets, multivariate transfer functions emerge. In this dissertation, we describe our research on multivariate transfer function design. To improve the classification of univariate volumes, various one-dimensional (1D) or two-dimensional (2D) transfer function spaces have been proposed; however, these methods work on only some datasets. We propose a novel transfer function method that provides better classifications by combining different transfer function spaces. Methods have been proposed for exploring multivariate simulations; however, these approaches are not suitable for complex real-world datasets and may be unintuitive for domain users. To this end, we propose a method based on user-selected samples in the spatial domain to make complex multivariate volume data visualization more accessible for domain users. However, this method still requires users to fine-tune transfer functions in parameter space transfer function widgets, which may not be familiar to them. We therefore propose GuideME, a novel slice-guided semiautomatic multivariate volume exploration approach. GuideME provides the user, an easy-to-use, slice-based user interface that suggests the feature boundaries and allows the user to select features via click and drag, and then an optimal transfer function is automatically generated by optimizing a response function. Throughout the exploration process, the user does not need to interact with the parameter views at all. Finally, real-world multivariate volume datasets are also usually of large size, which is larger than the GPU memory and even the main memory of standard work stations. We propose a ray-guided out-of-core, interactive volume rendering and efficient query method to support large and complex multivariate volumes on standard work stations

    99mTc-MSA์™€ ์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด๋ฅผ ์‚ฌ์šฉํ•œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘์šฉ ๋‹ค์ค‘๋ชจ๋“œ์˜์ƒ์ œ์˜ ๊ฐœ๋ฐœ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์˜๊ณผ๋Œ€ํ•™ ์˜๊ณผํ•™๊ณผ, 2019. 2. ์ •์žฌ๋ฏผ.Purpose: Sentinel lymph node (SLN) is the first regional lymph node (LN) existing nearest to the primary tumor. The detection of SLN in breast cancer and melanoma patients is important to evaluate tumor staging or to establish therapeutic decision-making. Blue dyes, radiotracers, combination of a radiotracer and blue dye method and radiolabeled blue dyes have been clinically used for SLN detection. However, these methods still have some limitations. Here, the aim for this study was to develop a SLN mapping agent using 99mTc-labeled mannosylated human serum albumin (MSA) and dyes. Various dyes were tested by in vitro experiments such as binding efficiency with MSA, size exclusion liquid chromatography with HPLC and fluorescent screening. The selected dye, naphthol blue black (NBB) which showed the highest binding efficiency with MSA, was tested regarding its ability for SLN mapping by visual investigation, fluorescence imaging, and single photon emission computed tomography (SPECT)/computed tomography (CT). Methods: Visible screening was performed using 8 different dyes. Each 1 mM dye solution was prepared by dissolving 1 ฮผmol of dye in 1 mL of distilled water (DW) and the solution was serially diluted from 0.25 to 0.001 mM with DW. The color of the prepared solutions was compared by visual inspection. To determine values of MSA-dye conjugates, UV-VIS-NIR spectrum assay was conducted and optical density (OD) was measured by Varioskan Flash screening mode at 350-850 nm. Binding efficiencies between MSA and various dyes were measured by thin-layer chromatography at 10, 30 min, 1, 2, 6, and 24 h after incubation. TLC plates were scanned by Fujifilm LAS 3000 and the spots were quantified by multi-gauge 3.0. HPLC was used to distinguish the size between before and after dye and MSA conjugation. Fluorescence imaging was performed at 420-780 nm excitation and 520-845 nm emission to find out the wavelength band which exhibits strong fluorescence for MSA-dye conjugates. To evaluate the ability of MSA-NBB conjugate for SLN mapping, MSA-NBB conjugate or only NBB was injected to a same male BALB/c mice and visible and fluorescence images were obtained at 10, 30 min, 1, and 2 h post-injection. For SPECT/CT imaging, MSA-NBB conjugate was labeled with 99mTc and the conjugate complex was subcutaneously injected into the left footpad of the mouse. SPECT/CT images were obtained at 10, 30 min, 1, and 2 h after injection. Results: All dyes that were used in visible screening showed a clear color at 0.25 mM. As dilution, some dyes were difficult to identify color of the solution and NBB, PBVF, NY, BR and EB showed most visible at low concentration at 0.004 mM. In order to compare each of MSA-dye conjugates by a quantified value, values were calculated by Beer-Lambert Law using OD values at peak wavelength. MSA-PBVF conjugate demonstrated the highest value of 141,481 Mโˆ’1ยทcmโˆ’1, followed by MSA-EB conjugate (99259.3), MSA-ICG conjugate (87037.0) and MSA-NBB conjugate (62222.2). Size exclusion HPLC confirmed that MSA-dye conjugates was formed as a monomer. All the prepared MSA-dye conjugates was stable for 24 h and no other aggregates were found in the chromatogram. TLC results showed that binding efficiencies of all dyes were increased depending on the concentration of MSA and the reaction time. Especially, NBB had the highest binding affinity with MSA among all the tested dyes requiring the least amount of MSA (2.5 mg) and the short reaction time (10 min). Binding ratio was calculated that 0.7 of NBB was bound with 1.0 of MSA. Based on these results, NBB was selected for the in vivo application. Fluorescence of MSA-NBB conjugate was detected at excitation 600 nm, emission 670 nm and fluorescence of unbound dyes or MSA was not detected at the same range. In visible image, MSA-NBB conjugate accumulated more in the popliteal lymph node that NBB alone at all the investigational time. The fluorescence of MSA-NBB conjugate and NBB alone were accumulated in the popliteal LN at 10 min at 4.48ยฑ0.34 and 4.24ยฑ0.18 flux (108 p/s), respectively. While the fluorescence of MSA-NBB conjugate in the popliteal LN was maintained for 2 h (4.81ยฑ1.24 flux (108 p/s)), the fluorescence of NBB alone rapidly decreased (2.61ยฑ0.46 flux (108 p/s)). MSA-NBB conjugate showed about two-fold higher popliteal LN uptake as compared with NBB alone from 30 min to 2 h after footpad injection. In SPECT/CT images, 99mTc-MSA-NBB conjugate was highly accumulated in the popliteal and inguinal LN. The SUVmean value of 99mTc-MSA-NBB conjugate in the popliteal and inguinal LN was 13.08ยฑ2.33 and 3.00ยฑ1.64 at 10 min and 17.83ยฑ5.85 and 4.99ยฑ3.44 at 2 h, respectively. SPECT/CT results showed that the popliteal LN uptake of 99mTc-MSA-NBB conjugate was about 3.5-fold higher than inguinal LN uptake at all time points. Conclusion: In this study, 99mTc-MSA-NBB conjugate was developed as a multimodal SLN mapping agent for direct visualization, fluorescence and SPECT/CT. The ability of 99mTc-MSA-NBB conjugate for accumulation in SLN was assessed by evaluating the popliteal LN uptake which is closest to the foot pad by visual monitoring, fluorescence imaging, and SPECT/CT. The results demonstrated that 99mTc-MSA-NBB conjugate binds quickly to SLN and accumulates in SLN until 2 h after footpad injection. Based on these results, 99mTc-MSA-NBB conjugate has a great potential as an SLN mapping agent for clinical use.๋ชฉ์ : ๊ฐ์‹œ๋ฆผํ”„์ ˆ์€ ์›๋ฐœ์„ฑ ์ข…์–‘์œผ๋กœ๋ถ€ํ„ฐ ๊ฐ€์žฅ ๊ฐ€๊นŒ์ด์— ์œ„์น˜ํ•œ ๋ฆผํ”„์ ˆ์ด๋‹ค. ์œ ๋ฐฉ์•”ํ™˜์ž, ํ‘์ƒ‰์ข… ์•”ํ™˜์ž์—์„œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ์„ ๊ฒ€์ถœํ•˜๋Š” ๊ฒƒ์€ ์ข…์–‘ ๋ณ‘๊ธฐ๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ , ์ˆ˜์ˆ  ์ค‘ ์น˜๋ฃŒ ๊ฒฐ์ •์„ ํ•˜๋Š”๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ํ˜„์žฌ ์ž„์ƒ์—์„œ ์ฒญ์ƒ‰ ์—ผ๋ฃŒ, ๋ฐฉ์‚ฌ์„ฑ ์ถ”์ ์ž, ๋ฐฉ์‚ฌ์„ฑ ์ถ”์ ์ž์™€ ์ฒญ์ƒ‰ ์—ผ๋ฃŒ ๋ฐฉ๋ฒ•์˜ ์กฐํ•ฉ ๊ทธ๋ฆฌ๊ณ  ๋ฐฉ์‚ฌ์„ฑ ๋™์œ„์›์†Œ๊ฐ€ ํ‘œ์ง€๋œ ์ฒญ์ƒ‰ ์—ผ๋ฃŒ๊ฐ€ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๊ฒ€์ถœ์— ์ด์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋Ÿฌํ•œ ๋ฐฉ๋ฒ•์—๋Š” ๊ฐ๊ฐ ํ•œ๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉํ‘œ๋Š” 99mTc์ด ํ‘œ์ง€๋œ MSA์™€ ์—ผ๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘ ์˜์ƒ์ œ๋ฅผ ๊ฐœ๋ฐœํ•˜๋Š” ๊ฒƒ์ด์—ˆ๋‹ค. MSA์™€์˜ ๊ฒฐํ•ฉํšจ์œจ, ์‚ฌ์ด์ฆˆ ๋ฐฐ์ œ ํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๋ฅผ ์ด์šฉํ•œ ๊ณ ์„ฑ๋Šฅ์•ก์ฒดํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ ์‹คํ—˜, ํ˜•๊ด‘ ๋ชจ๋‹ˆํ„ฐ๋ง๊ณผ ๊ฐ™์€ ์‹œํ—˜๊ด€ ์‹คํ—˜์„ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ์—ผ๋ฃŒ๋ฅผ ํ…Œ์ŠคํŠธํ•˜์˜€๋‹ค. ๊ทธ ์ค‘ MSA์™€ ๊ฐ€์žฅ ๋†’์€ ๊ฒฐํ•ฉ ํšจ์œจ์„ ๋ณด์ธ NBB๊ฐ€ ์„ ํƒ๋˜์—ˆ๊ณ , ์œก์•ˆ ๊ฒ€์‚ฌ, ํ˜•๊ด‘ ์ด๋ฏธ์ง• ๊ทธ๋ฆฌ๊ณ  ๋‹จ์ผ ๊ด‘์ž ๋ฐฉ์ถœ ์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜/์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜ (SPECT/CT)์„ ํ†ตํ•ด ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๋ฐฉ๋ฒ•: ์œก์•ˆ๊ฒ€์‚ฌ๋Š” 8๊ฐœ์˜ ์—ผ๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. 1 mM์˜ ์—ผ๋ฃŒ ์šฉ์•ก์€ 1 ยตmol์˜ ์—ผ๋ฃŒ๋ฅผ 1 mL์˜ ์ฆ๋ฅ˜์ˆ˜์— ๋…น์—ฌ ์ค€๋น„ํ•˜์˜€๊ณ , ์ฆ๋ฅ˜์ˆ˜๋ฅผ ์ด์šฉํ•˜์—ฌ 0.25 mM์—์„œ 0.001 mM๊นŒ์ง€ ์—ฐ์† ํฌ์„ํ•˜์˜€๋‹ค. ์ค€๋น„๋œ ์—ผ๋ฃŒ ์šฉ์•ก์˜ ์ƒ‰์ƒ์€ ์œก์•ˆ๊ฒ€์‚ฌ๋ฅผ ํ†ตํ•ด ๋น„๊ต๋˜์—ˆ๋‹ค. MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด์˜ ๋ถ„์žํก๊ด‘๊ณ„์ˆ˜ (ฮต)๋ฅผ ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด, UV-VIS-NIR ์ŠคํŽ™ํŠธ๋Ÿผ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๊ณ  ํก๊ด‘๋„ (OD)๋Š” 350-850 nm์˜ Varioskan flash screening mode์—์„œ ์ธก์ •๋˜์—ˆ๋‹ค. MSA์™€ ๋‹ค์–‘ํ•œ ์—ผ๋ฃŒ๊ฐ„์˜ ๊ฒฐํ•ฉ ํšจ์œจ์€ ๋ฐ˜์‘ 10๋ถ„, 30๋ถ„, 1์‹œ๊ฐ„, 2์‹œ๊ฐ„, 6์‹œ๊ฐ„ ๊ทธ๋ฆฌ๊ณ  24์‹œ๊ฐ„ ํ›„ ๋ฐ•์ธตํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๋ฅผ ํ†ตํ•ด ์ธก์ •๋˜์—ˆ๋‹ค. ๋ฐ•์ธตํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ ํ”Œ๋ ˆ์ดํŠธ๋Š” Fujifilm LAS 3000๋ฅผ ์ด์šฉํ•˜์—ฌ ์Šค์บ”ํ•˜์˜€๊ณ , multi-gauge 3.0๋ฅผ ์ด์šฉํ•˜์—ฌ ์ •๋Ÿ‰ํ‰๊ฐ€ ํ•˜์˜€๋‹ค. ์—ผ๋ฃŒ์™€ MSA ์ ‘ํ•ฉ ์ „ํ›„์˜ ํฌ๊ธฐ๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ณ ์„ฑ๋Šฅ์•ก์ฒดํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๋ฅผ ์‹คํ–‰ํ•˜์˜€๋‹ค. MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด๊ฐ€ ๊ฐ•ํ•œ ํ˜•๊ด‘ ์‹ ํ˜ธ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ํŒŒ์žฅ๋Œ€๋ฅผ ์ฐพ๊ธฐ ์œ„ํ•ด, ์—ฌ๊ธฐ 420-780 nm, ๋ฐฉ์ถœ 520-845 nm์—์„œ ํ˜•๊ด‘ ์ด๋ฏธ์ง• ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘์„ ์œ„ํ•œ MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด, MSA-NBB ์ ‘ํ•ฉ์ฒด ํ˜น์€ NBB๋ฅผ ์ˆ˜์ปท BALB/c ๋งˆ์šฐ์Šค (์ด 12๋งˆ๋ฆฌ)์— ํˆฌ์—ฌ ํ›„ 10๋ถ„, 30๋ถ„, 1์‹œ๊ฐ„ ๊ทธ๋ฆฌ๊ณ  2์‹œ๊ฐ„์— ์œก์•ˆ ์‚ฌ์ง„๊ณผ ํ˜•๊ด‘ ์ด๋ฏธ์ง€๋ฅผ ์–ป์—ˆ๋‹ค. SPECT/CT๋ฅผ ์–ป๊ธฐ ์œ„ํ•ด, MSA-NBB ์ ‘ํ•ฉ์ฒด๋ฅผ 99mTc์œผ๋กœ ํ‘œ์ง€ ํ•˜์˜€๊ณ , ๋งˆ์šฐ์Šค(์ด 3๋งˆ๋ฆฌ) ์ขŒ์ธก ๋ฐœ๋ฐ”๋‹ฅ์— ํ”ผํ•˜ ์ฃผ์‚ฌํ•˜์˜€๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 10๋ถ„, 30๋ถ„, 1์‹œ๊ฐ„, 2์‹œ๊ฐ„ ํ›„ SPECT/CT๋ฅผ ์–ป์—ˆ๋‹ค. ๊ฒฐ๊ณผ: ์œก์•ˆ ๊ฒ€์‚ฌ์—์„œ ๋ชจ๋“  ์—ผ๋ฃŒ๊ฐ€ 0.25 mM์—์„œ ๋ช…ํ™•ํ•œ ์ƒ‰์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ํฌ์„๋œ ์ผ๋ถ€ ์—ผ๋ฃŒ๋Š” ์šฉ์•ก์˜ ์ƒ‰์„ ํ™•์ธํ•˜๊ธฐ ์–ด๋ ค์› ๊ณ , NBB, PBVF, NY, BR ๊ทธ๋ฆฌ๊ณ  EB๋Š” 0.004 mM์˜ ๋‚ฎ์€ ๋†๋„์—์„œ๋„ ์ž˜ ๋ณด์˜€๋‹ค. MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด ๊ฐ๊ฐ์„ ์ •๋Ÿ‰ํ™”๋œ ๊ฐ’์œผ๋กœ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•ด, ํก๊ด‘๋„ (OD)์™€ Beer-Lambert Law๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ถ„์žํก๊ด‘๊ณ„์ˆ˜ ()๋ฅผ ๊ณ„์‚ฐํ•˜์˜€๋‹ค. MSA-PBVF ์ ‘ํ•ฉ์ฒด๋Š” 141,481 Mโˆ’1ยทcmโˆ’1๋กœ ๊ฐ€์žฅ ๋†’์€ ๋ถ„์žํก๊ด‘๊ณ„์ˆ˜๋ฅผ ๋‚˜ํƒ€๋‚ด์—ˆ์œผ๋ฉฐ, MSA-EB ์ ‘ํ•ฉ์ฒด (99259.3), MSA-ICG ์ ‘ํ•ฉ์ฒด (87037.0) ๊ทธ๋ฆฌ๊ณ  MSA-NBB ์ ‘ํ•ฉ์ฒด (62222.2)๊ฐ€ ๋’ค๋ฅผ ์ด์—ˆ๋‹ค. ์‚ฌ์ด์ฆˆ ๋ฐฐ์ œ ๊ณ ์„ฑ๋Šฅ์•ก์ฒดํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๋ฅผ ํ†ตํ•ด MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด๊ฐ€ ๋‹จ๋Ÿ‰์ฒด๋กœ ์กด์žฌํ•œ๋‹ค๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํฌ๋กœ๋งˆํ† ๊ทธ๋žจ์—์„œ ์ค€๋น„๋œ ๋ชจ๋“  MSA-์—ผ๋ฃŒ ์ ‘ํ•ฉ์ฒด๋Š” 24์‹œ๊ฐ„ ๋™์•ˆ ์•ˆ์ •ํ•˜์˜€๊ณ , ๋‹ค๋ฅธ ์‘์ง‘์ฒด๋Š” ๋ฐœ๊ฒฌ๋˜์ง€ ์•Š์•˜๋‹ค. ๋ฐ•์ธตํฌ๋กœ๋งˆํ† ๊ทธ๋ž˜ํ”ผ๊ฒฐ๊ณผ๋Š” MSA ๋†๋„์™€ ๊ฒฐํ•ฉ ๋ฐ˜์‘ ์‹œ๊ฐ„์ด ์ฆ๊ฐ€๋จ์— ๋”ฐ๋ผ ๋ชจ๋“  ์—ผ๋ฃŒ์™€ MSA๊ฐ„์˜ ๊ฒฐํ•ฉ ํšจ์œจ์ด ์ฆ๊ฐ€ํ•จ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ํŠนํžˆ, ํ…Œ์ŠคํŠธ๋œ ๋ชจ๋“  ์—ผ๋ฃŒ ์ค‘ NBB๊ฐ€ ๊ฐ€์žฅ ์ ์€ ์–‘์˜ MSA (2.5 mg)์™€ ์งง์€ ์‹œ๊ฐ„ (10๋ถ„)๋‚ด์— ๊ฐ€์žฅ ๋†’์€ ๊ฒฐํ•ฉ ์นœํ™”๋ ฅ์„ ๋ณด์˜€๋‹ค. ๊ฒฐํ•ฉ ๋น„์œจ(mol/mol)์€ NBB 0.7์ด MSA 1๊ณผ ๊ฒฐํ•ฉ๋œ ๊ฒƒ์œผ๋กœ ๊ณ„์‚ฐ๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ์ƒ์ฒด ๋‚ด ์ ์šฉ ์‹คํ—˜์„ ์œ„ํ•ด NBB๊ฐ€ ์„ ํƒ๋˜์—ˆ๋‹ค. MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ํ˜•๊ด‘ ์‹ ํ˜ธ๋Š” ์—ฌ๊ธฐ 600 nm, ๋ฐฉ์ถœ 670 nm์—์„œ ๊ฒ€์ถœ๋˜์—ˆ์œผ๋ฉฐ, ๊ฒฐํ•ฉ๋˜์ง€ ์•Š์€ ์—ผ๋ฃŒ์™€ MSA์˜ ํ˜•๊ด‘ ์‹ ํ˜ธ๋Š” ๋™์ผํ•œ ํŒŒ์žฅ์—์„œ ๊ฒ€์ถœ๋˜์ง€ ์•Š์•˜๋‹ค. ์œก์•ˆ๊ฒ€์‚ฌ์—์„œ, MSA-NBB ์ ‘ํ•ฉ์ฒด๊ฐ€ NBB ๋‹จ๋…์œผ๋กœ ํˆฌ์—ฌํ•˜์˜€์„ ๋•Œ ๋ณด๋‹ค ๋ชจ๋“  ์‹œ๊ฐ„๋Œ€์—์„œ ๋” ๋งŽ์€ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ ์„ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 10๋ถ„ ํ›„ ์Šฌ์™€๋ฆผํ”„์ ˆ์— ์ถ•์ ๋œ MSA-NBB ์ ‘ํ•ฉ์ฒด์™€ NBB์˜ ํ˜•๊ด‘ ์„ธ๊ธฐ๋Š” ๊ฐ๊ฐ 4.48ยฑ0.34 ๊ทธ๋ฆฌ๊ณ  4.24ยฑ0.18 flux (108 p/s)์ด์—ˆ๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 2์‹œ๊ฐ„ ํ›„ MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ (4.81ยฑ1.24 flux (108 p/s))์€ ์œ ์ง€๋˜์—ˆ์œผ๋‚˜, NBB์˜ ํ˜•๊ด‘ ์„ธ๊ธฐ๋Š” ๋น ๋ฅด๊ฒŒ ๊ฐ์†Œ (2.61ยฑ0.46 flux (108 p/s))ํ•˜์˜€๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 30๋ถ„์—์„œ 2์‹œ๊ฐ„๊นŒ์ง€ MSA-NBB ์ ‘ํ•ฉ์ฒด๋Š” NBB ๋‹จ๋…์œผ๋กœ ํˆฌ์—ฌํ•˜์˜€์„ ๋•Œ ๋ณด๋‹ค ์•ฝ 2๋ฐฐ ๋†’์€ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ ์„ ๋ณด์˜€๋‹ค. SPECT/CT์—์„œ, 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด๋Š” ์Šฌ์™€๋ฆผํ”„์ ˆ๊ณผ ์„œํ˜œ๋ถ€๋ฆผํ”„์ ˆ์— ๋†’์€ ์„ญ์ทจ๋ฅผ ๋ณด์˜€๋‹ค. ์•ฝํ’ˆ ํˆฌ์—ฌ 10๋ถ„ ํ›„ ์Šฌ์™€๋ฆผํ”„์ ˆ๊ณผ ์„œํ˜œ๋ถ€๋ฆผํ”„์ ˆ ๊ฐ๊ฐ์— ์„ญ์ทจ๋œ 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ SUVmean์€ 13.08ยฑ2.33, 3.00ยฑ1.64์ด์—ˆ๊ณ , ์•ฝํ’ˆ ํˆฌ์—ฌ 2์‹œ๊ฐ„ ํ›„์—๋Š” 17.83ยฑ5.85, 4.99ยฑ3.44์ด์—ˆ๋‹ค. SPECT/CT ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด, ๋ชจ๋“  ์‹œ๊ฐ„๋Œ€์—์„œ 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ ์ด ์„œํ˜œ๋ถ€๋ฆผํ”„์ ˆ ์ถ•์ ๋ณด๋‹ค ์•ฝ 3.5๋ฐฐ ๋†’์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ฒฐ๋ก : ๋ณธ ์—ฐ๊ตฌ์—์„œ, 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด๋Š” ์œก์•ˆ ๊ฒ€์‚ฌ, ํ˜•๊ด‘ ์ด๋ฏธ์ง€ ๋ฐ SPECT/CT๋ฅผ ์œ„ํ•œ ๋‹ค์ค‘๋ชจ๋“œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘ ์˜์ƒ์ œ๋กœ ๊ฐœ๋ฐœ๋˜์—ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ์œก์•ˆ๊ฒ€์‚ฌ, ํ˜•๊ด‘ ์ด๋ฏธ์ง€ ๊ทธ๋ฆฌ๊ณ  SPECT/CT๋ฅผ ํ†ตํ•ด, ๋ฐœ๋ฐ”๋‹ฅ์œผ๋กœ๋ถ€ํ„ฐ ๊ฐ€์žฅ ๊ฐ€๊นŒ์ด์— ์œ„์น˜ํ•œ ์Šฌ์™€๋ฆผํ”„์ ˆ ์ถ•์ ์„ ํ‰๊ฐ€ํ•จ์œผ๋กœ์จ 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด์˜ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ์ถ•์  ๋Šฅ๋ ฅ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ๊ฒฐ๊ณผ๋Š” 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด๊ฐ€ ๊ฐ์‹œ๋ฆผํ”„์ ˆ์— ๋น ๋ฅด๊ฒŒ ๊ฒฐํ•ฉํ•˜๊ณ , ์•ฝํ’ˆํˆฌ์—ฌ 2์‹œ๊ฐ„ ํ›„๊นŒ์ง€ ๊ฐ์‹œ๋ฆผํ”„์ ˆ์— ์ถ•์ ๋จ์„ ๋ณด์—ฌ ์ฃผ์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, 99mTc-MSA-NBB ์ ‘ํ•ฉ์ฒด๊ฐ€ ์ž„์ƒ์—์„œ ๊ฐ์‹œ๋ฆผํ”„์ ˆ ๋งตํ•‘์„ ์œ„ํ•ด ์‚ฌ์šฉ๋  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค.ABSTRACT ----------------------------------------------------------------------------------2 LIST OF FIGURES AND TABLES ----------------------------------------------------9 LIST OF ABBREVIATIONS -----------------------------------------------------------11 INTRODUCTION ------------------------------------------------------------------------14 MATERIALS AND METHODS -------------------------------------------------------19 Preparation of MSA and kits for 99mTc labeling ----------------------------------20 In vitro visibility test of dyes ----------------------------------------------------------21 Absorption spectra and molar absorption coefficient () of MSA-dye conjugates ---------------------------------------------------------------------------------------------22 In vitro measurements for the binding efficiencies of dyes with MSA ----------22 Size exclusion HPLC before and after MSA and dye conjugation --------------25 Electrophoresis for the binding mechanism study of MSA and dyes ------------25 In vitro fluorescence monitoring of MSA-dye conjugates-------------------------26 In vivo visible and fluorescence experiments of MSA-NBB conjugate for the detection of SLN ------------------------------------------------------------------------29 Preparation for 99mTc-MSA-NBB conjugate ----------------------------------------29 Analysis of SPECT/CT ----------------------------------------------------------------30 Stability test of 99mTc-MSA-NBB conjugate in in vivo ---------------------------31 RESULTS -----------------------------------------------------------------------------------33 In vitro visibility test of dyes ----------------------------------------------------------33 Absorption spectra and molar absorption coefficient () of MSA-dye conjugates ---------------------------------------------------------------------------------------------35 In vitro measurements for the binding efficiencies of dyes with MSA ----------39 Size exclusion HPLC before and after MSA and dye conjugation----------------44 Electrophoresis for the binding mechanism study of MSA and dyes ------------48 In vitro fluorescence monitoring of MSA-dye conjugates ------------------------50 In vivo visible and fluorescence experiments of MSA-NBB conjugate for the detection of SLN------------------------------------------------------------------------52 Preparation for 99mTc-MSA-NBB conjugate ----------------------------------------56 Analysis of SPECT/CT ----------------------------------------------------------------61 Stability test of 99mTc-MSA-NBB conjugate in in vivo ---------------------------63 DISCUSSION ------------------------------------------------------------------------------65 CONCLUSION ----------------------------------------------------------------------------73 REFERENCES ----------------------------------------------------------------------------74 ๊ตญ๋ฌธ์ดˆ๋ก ------------------------------------------------------------------------------------82Docto

    Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians

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    Convolutional neural nets (CNNs) have demonstrated remarkable performance in recent history. Such approaches tend to work in a unidirectional bottom-up feed-forward fashion. However, practical experience and biological evidence tells us that feedback plays a crucial role, particularly for detailed spatial understanding tasks. This work explores bidirectional architectures that also reason with top-down feedback: neural units are influenced by both lower and higher-level units. We do so by treating units as rectified latent variables in a quadratic energy function, which can be seen as a hierarchical Rectified Gaussian model (RGs). We show that RGs can be optimized with a quadratic program (QP), that can in turn be optimized with a recurrent neural network (with rectified linear units). This allows RGs to be trained with GPU-optimized gradient descent. From a theoretical perspective, RGs help establish a connection between CNNs and hierarchical probabilistic models. From a practical perspective, RGs are well suited for detailed spatial tasks that can benefit from top-down reasoning. We illustrate them on the challenging task of keypoint localization under occlusions, where local bottom-up evidence may be misleading. We demonstrate state-of-the-art results on challenging benchmarks.Comment: To appear in CVPR 201

    Virtual and Augmented Reality in Finance: State Visibility of Events and Risk

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    International audienceThe recent financial crisis and its aftermath motivate our re-thinking of the role of Information and Communication Technologies (ICT) as a driver for change in global finance and a critical factor for success and sustainability. We attribute the recent financial crisis that hit the global market, causing a drastic economic slowdown and recession, to a lack of state visibility of risk, inadequate response to events, and a slow dynamic system adaptation to events. There is evidence that ICT is not yet appropriately developed to create business value and business intelligence capable of counteracting devastating events. The aim of this chapter is to assess the potential of Virtual Reality and Augmented Reality (VR / AR) technologies in supporting the dynamics of global financial systems and in addressing the grand challenges posed by unexpected events and crises. We overview, firstly, in this chapter traditional AR/VR uses. Secondly, we describe early attempts to use 3D/ VR / AR technologies in Finance. Thirdly, we consider the case study of mediating the visibility of the financial state and we explore the various dimensions of the problem. Fourthly, we assess the potential of AR / VR technologies in raising the perception of the financial state (including financial risk). We conclude the chapter with a summary and a research agenda to develop technologies capable of increasing the perception of the financial state and risk and counteracting devastating events

    Reverse polarized inductive coupling to transmit and receive radiofrequency coil arrays

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    Cataloged from PDF version of article.In this study, the reverse polarization method is implemented using transmit and receive arrays to improve the visibility of the interventional devices. Linearly polarized signal sourcesinductively and receptively coupled radiofrequency coilsare used in the experimental setups to demonstrate the ability of the method to separate these sources from a forward polarized anatomy signal. Two different applications of the reverse polarization method are presented here: (a) catheter tracking and (b) fiducial marker visualization, in both of which transmit and receive arrays are used. The performance of the reverse polarization method was further tested with phantom and volunteer studies, and the results proved the feasibility of this method with transmit and receive arrays. Magn Reson Med, 2012. (C) 2011 Wiley Periodicals, In
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