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Готові списки джерел за темами / Optical tomography

Добірка наукової літератури з теми "Optical tomography"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 6 вересня 2023

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Статті в журналах з теми "Optical tomography":

1

Kalnaya, O. A., and Yu S. Kurskoy. "Femtosecond Optical Tomography." Metrology and instruments, no. 2 (May 21, 2020): 57–60. http://dx.doi.org/10.33955/2307-2180(2)2020.57-60.

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The aim of the work is development of medical optical tomography technologies. The physical principles, tasks, and boundary possibilities of the optical tomography systems are considered. The autors propose to use the femtosecond lasers, operating in the «optical comb» mode, as a lught source in optical tomography system. The advantages of this source uses were analyzed and resolution power of femtosecond optical tomographs was calculated in the artical.

2

Pattan, Anusha U., and Shubhangi D.C. "Optical Tomography: The Survey on Optical Tomographic Techniques." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 6 (June 30, 2017): 376–81. http://dx.doi.org/10.23956/ijarcsse/v7i6/0300.

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3

Haisch, Christoph. "Optical Tomography." Annual Review of Analytical Chemistry 5, no. 1 (July 19, 2012): 57–77. http://dx.doi.org/10.1146/annurev-anchem-062011-143138.

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4

Coufal, Hans. "Optical tomography?" Journal of Molecular Structure 347 (March 1995): 285–91. http://dx.doi.org/10.1016/0022-2860(95)08551-6.

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5

Leutwyler, Kristin. "Optical Tomography." Scientific American 270, no. 1 (January 1994): 147–49. http://dx.doi.org/10.1038/scientificamerican0194-147.

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6

Davis, Cole, and Wayne Kuang. "Optical coherence tomography: a novel modality for scrotal imaging." Canadian Urological Association Journal 3, no. 4 (May 1, 2013): 319. http://dx.doi.org/10.5489/cuaj.1128.

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Background: For patients with nonobstructive azoospermia,sperm retrieval rates remain modest. We describe the use ofoptical coherence tomography to improve retrieval rates and todecrease tissue destruction.Methods: Four patients underwent diagnostic testicular biopsyand imaging with the Niris optical coherence tomography de -vice. We performed a descriptive comparison between optic alcoherence tomographic images and conventional histology.Results: The measured seminiferous tubule diameter differed by16 μm between comparative imaging from optical coherencetomography and conventional histology using hematoxylin andeosin staining.Conclusion: We illustrate the usefulness of optical coherencetomography in the setting of testicular biopsy and the managementof nonobstructive azoospermia.Contexte : Chez les patients atteints d'azoospermie non obstructive,les taux de collecte de spermatozoïdes demeurent modestes.Nous décrivons le recours à une tomographie optiquecohérente pour améliorer les taux de collecte et réduire ladestruction tissulaire.Méthodes : Quatre patients ont subi une biopsie testiculaire diagnostiqueet une épreuve d'imagerie à l'aide d'un appareil Nirisde tomographie optique cohérente. Une comparaison descriptivea été effectuée entre les images obtenues par tomographieoptique cohérente et les résultats des épreuves histologiquesstandard.Résultats : La différence dans le diamètre des tubules séminifèresmesuré par tomographie optique cohérente et par coloration histologiqueà l'hématoxyline-éosine n'était que de 16 μm.Conclusion : Nous présentons une étude descriptive illustrant l’uti -lité de la tomographie optique cohérente pendant une biopsietesticulaire en vue de la prise en charge d'une azoospermie nonobstructive.

7

Soeda, Tsunenari, Shiro Uemura, Yoshihiko Saito, Kyoichi Mizuno, and Ik-Kyung Jang. "Optical Coherence Tomography and Coronary Plaque Characterization." Journal of the Japanese Coronary Association 19, no. 4 (2013): 307–14. http://dx.doi.org/10.7793/jcoron.19.033.

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8

C. Kharmyssov, C. Kharmyssov, M. W. L. Ko M. W. L. Ko, and J. R. Kim J. R. Kim. "Automated segmentation of optical coherence tomography images." Chinese Optics Letters 17, no. 1 (2019): 011701. http://dx.doi.org/10.3788/col201917.011701.

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9

Tong Wu, Tong Wu, and Youwen Liu Youwen Liu. "Optimal non-uniform fast Fourier transform for high-speed swept source optical coherence tomography." Chinese Optics Letters 11, no. 2 (2013): 021702–21707. http://dx.doi.org/10.3788/col201311.021702.

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10

Rollins, Andrew M., and Joseph A. Izatt. "Optimal interferometer designs for optical coherence tomography." Optics Letters 24, no. 21 (November 1, 1999): 1484. http://dx.doi.org/10.1364/ol.24.001484.

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Дисертації з теми "Optical tomography":

1

Xu, Weiming. "Offset Optical Coherence Tomography." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1626870603439104.

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2

Huang, David. "Optical coherence tomography." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12675.

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3

Muscat, Sarah. "Optical coherence tomography." Thesis, Connect to e-thesis, 2003. http://theses.gla.ac.uk/630/.

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Thesis (Ph.D.) - University of Glasgow, 2003.
Ph.D. thesis submitted to the Department of Cardiovascular and Medical Sciences, Faculty of Medicine, University of Glasgow, 2003. Includes bibliographical references. Print version also available.

4

Nam, Haewon. "Ultrasound-modulated optical tomography." Texas A&M University, 2002. http://hdl.handle.net/1969/448.

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5

Akcay, Avni Ceyhun. "System design and optimization of optical coherence tomography." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3586.

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Optical coherence imaging, including tomography (OCT) and microscopy (OCM), has been a growing research field in biomedical optical imaging in the last decade. In this imaging modality, a broadband light source, thus of short temporal coherence length, is used to perform imaging via interferometry. A challenge in optical coherence imaging, as in any imaging system towards biomedical diagnosis, is the quantification of image quality and optimization of the system components, both a primary focus of this research. We concentrated our efforts on the optimization of the imaging system from two main standpoints: axial point spread function (PSF) and practical steps towards compact low-cost solutions. Up to recently, the criteria for the quality of a system was based on speed of imaging, sensitivity, and particularly axial resolution estimated solely from the full-width at half-maximum (FWHM) of the axial PSF with the common practice of assuming a Gaussian source power spectrum. As part of our work to quantify axial resolution we first brought forth two more metrics unlike FWHM, which accounted for side lobes in the axial PSF caused by irregularities in the shape of the source power spectrum, such as spectral dips. Subsequently, we presented a method where the axial PSF was significantly optimized by suppressing the side lobes occurring because of the irregular shape of the source power spectrum. The optimization was performed through optically shaping the source power spectrum via a programmable spectral shaper, which consequentially led to suppression of spurious structures in the images of a layered specimen. The superiority of the demonstrated approach was in performing reshaping before imaging, thus eliminating the need for post-data acquisition digital signal processing. Importantly, towards the optimization and objective image quality assessment in optical coherence imaging, the impact of source spectral shaping was further analyzed in a task-based assessment method based on statistical decision theory. Two classification tasks, a signal-detection task and a resolution task, were investigated. Results showed that reshaping the source power spectrum was a benefit essentially to the resolution task, as opposed to both the detection and resolution tasks, and the importance of the specimen local variations in index of refraction on the resolution task was demonstrated. Finally, towards the optimization of OCT and OCM for use in clinical settings, we analyzed the detection electronics stage, which is a crucial component of the system that is designed to capture extremely weak interferometric signals in biomedical and biological imaging applications. We designed and tested detection electronics to achieve a compact and low-cost solution for portable imaging units and demonstrated that the design provided an equivalent performance to the commercial lock-in amplifier considering the system sensitivity obtained with both detection schemes.
Ph.D.
Optics and Photonics
Optics

6

Beitel, David. "Development of optical sources for optical coherence tomography." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=112557.

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The development of two different classes of optical sources for TD-OCT and FD-OCT are presented in this thesis. The design of several low-cost, high-performance BBSs, based on the ASE of two SOAs and EDF, are presented. Two different configuration types that were designed in this thesis are found to be effective BBSs. These sources are implemented in a TD-OCT system and therefore imaging performance is discussed as well. Secondly, two different WSSs based on mode-locked SFRLs with applications in SS-OCT are presented.
From our experimental results with BBSs, we conclude that: (1) S/C-band output produced by the ASE emitted from two cascaded SOAs can be effectively extended with L-band output produced from the ASE of EDF; (2) An even broader output is achievable by: coupling the C-band and L-band outputs from a C-band SOA and EDF respectively and then amplifying the coupled output through an S-band SOA; (3) OCT imaging systems employing a light source with an S+C+L band output, with a center wavelength of approximately 1520 nm, can achieve high penetration depths in biological tissue.
From our experimental results with SFRLs, we conclude that: (1) Our two SFRL configurations generate picosecond pulses with reasonably narrow linewidths: 0.2--0.5 nm, and a sweeping range of about 50 nm; (2) These SFRLs can function as laser swept sources by setting the driving frequency of the RF generator to a periodic ramping function.

7

Behrooz, Ali. "Multiplexed fluorescence diffuse optical tomography." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50401.

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Fluorescence tomography (FT) is an emerging non-invasive in vivo molecular imaging modality that aims at quantification and three-dimensional (3D) localization of fluorescent tagged inclusions, such as cancer lesions and drug molecules, buried deep in human and animal subjects. Depth-resolved 3D reconstruction of fluorescent inclusions distributed over the volume of optically turbid biological tissue using the diffuse fluorescent photons detected on the skin poses a highly ill-conditioned problem, as depth information must be extracted from boundary data. Due to this ill-posed nature of FT reconstructions, noise and errors in the data can severely impair the accuracy of the 3D reconstructions. Consequently, improvements in the signal-to-noise ratio (SNR) of the data significantly enhance the quality of the FT reconstructions. Furthermore, enhancing the SNR of the FT data can greatly contribute to the speed of FT scans. The pivotal factor in the SNR of the FT data is the power of the radiation illuminating the subject and exciting the administered fluorescent agents. In existing single-point illumination FT systems, the illumination power level is limited by the skin maximum radiation exposure levels. In this research, a multiplexed architecture governed by the Hadamard transform was conceptualized, developed, and experimentally implemented for orders-of-magnitude enhancement of the SNR and the robustness of FT reconstructions. The multiplexed FT system allows for Hadamard-coded multi-point illumination of the subject while maintaining the maximal information content of the FT data. The significant improvements offered by the multiplexed FT system were validated by numerical and experimental studies carried out using a custom-built multiplexed FT system developed exclusively in this work. The studies indicate that Hadamard multiplexing offers significantly enhanced robustness in reconstructing deep fluorescent inclusions from low-SNR FT data.

8

Watson, Thomas. "Advances in optical projection tomography." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/58486.

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Optical projection tomography (OPT) is a 3D imaging technique that can be applied to non- or weakly scattering samples and is often described as the optical equivalent of x-ray computed tomography (CT). Analogous to x-ray CT, OPT acquires wide-field images of a sample from many angles and uses this projection data to reconstruct the 3D distribution, applicable to both absorption and fluorescence contrast. This thesis describes how to implement OPT on a standard wide-field microscope, derives rigorous models for image formation and reconstruction in OPT, and discusses how performance can be improved in terms of spatial resolution and acquisition time through the use of focal scanning, particularly for samples < 1 mm in diameter. After a brief overview of 3D optical imaging techniques, a mathematical framework is developed for the standard experimental approaches to OPT based on telecentric imaging, which allows a rigorous comparison with x-ray CT. It is shown that reconstruction of the optical projections using filtered back projection introduces anisotropy to the spatial resolution in the reconstructed images. The OPTiM adapter plate is then described. This open hardware component, together with openly shared software, allows an existing microscope to be adapted for OPT at low cost, thereby increasing the accessibility of OPT for a wide range of researchers. To improve the performance of OPT in terms of spatial resolution and acquisition time, an alternative data acquisition model for OPT is developed that is based on telecentric remote focal scanning. Detailed analysis quantifies the expected improvement in the spatial resolution of the 3D image reconstructions and the reduction in the acquisition time. The derived mathematical framework is also used to identify factors for further optimisation. The focal-scanning concept is extended to “region-of-interest OPT”, where it is shown that the dynamic control of focal plane position can lead to improved signal to background ratios as well as reducing the impact of streak artefacts. The final section of the thesis addresses the equivalence between a non-telecentric optical system and cone-beam CT, which removes the telecentricity requirement of the traditional approach to OPT. Derivation of the associated optical transform leads to a modified form of reconstruction based on the FDK algorithm. It is shown that axial and lateral tracking enables this new OPT approach to acquire 3D images of a sub-volume within a larger body. The optical setup and associated optical transforms for both telecentric and non-telecentric systems are described.

9

Bateni, Vahid. "Isogeometric Approach to Optical Tomography." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103863.

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Optical Tomography is an imaging modality that enhances early diagnosis of disease through use of harmless Near-Infrared rays instead of conventional x-rays. The subsequent images are used to reconstruct the object. However Optical Tomography has not been effectively utilized due to the complicated photon scattering phenomenon and ill-posed nature of the corresponding image reconstruction scheme. The major method for reconstruction of the object is based on an iterative loop that constantly minimizes the difference between the predicted model of photon scattering with acquired images. Currently the most effective method of predicting the photon scattering pattern is the solution of the Radiative Transfer Equation (RTE) using the Finite Elements Method (FEM). However, the conventional FEM uses classical C0 interpolation functions, which have shortcomings in terms of continuity of the solution over the domain as well as proper representation of geometry. Hence higher discretization is necessary to maintain accuracy of gradient-based results which may significantly increase the computational cost in each iteration. This research implements the recently developed Isogeometric Approach (IGA) and particularly IGA-based FEM to address the aforementioned issues. The IGA-based FEM has the potential to enhance adaptivity and reduce the computational cost of discretization schemes. The research in this study applies the IGA method to solve the RTE with the diffusion approximation and studies its behavior in comparison to conventional FEM. The results show comparison of the IGA-based solution with analytical and conventional FEM solutions in terms of accuracy and efficiency. While both methods show high levels of accuracy in reference to the analytical solution, the IGA results clearly excel in accuracy. Furthermore, FE solutions tend to have shorter runtimes in low accuracy results. However, in higher accuracy solutions, where it matters the most, the IGA proves to be considerably faster.
Doctor of Philosophy
CT scans can save lives by allowing medical practitioners observe inside the patient's body without use of invasive surgery. However, they use high energy, potentially harmful x-rays to penetrate the organs. Due to limits of the mathematical algorithm used to reconstruct the 3D figure of the organs from the 2D x-ray images, many such images are required. Thus, a high level of x-ray exposure is necessary, which in periodic use can be harmful. Optical Tomography is a promising alternative which replaces x-rays with harmless Near-infrared (NIR) visible light. However, NIR photons have lower energy and tend to scatter before leaving the organs. Therefore, an additional algorithm is required to predict the distribution of light photons inside the body and their resulting 2D images. This is called the forward problem of Optical Tomography. Only then, like conventional CT scans, can another algorithm, called the inverse solution, reconstruct the 3D image by diminishing the difference between the predicted and registered images. Currently Optical Tomography cannot replace x-ray CT scans for most cases, due to shortcomings in the forward and inverse algorithms to handle real life usages. One obstacle stems from the fact that the forward problem must be solved numerous times for the inverse solution to reach the correct visualization. However, the current numerical method, Finite Element Method (FEM), has limitations in generating accurate solutions fast enough using economically viable computers. This limitation is mostly caused by the FEM's use of a simpler mathematical construct that requires more computations and is limited in accurately modelling the geometry and shape. This research implements the recently developed Isogeometric Analysis (IGA) and particularly IGA-based FEM to address this issue. The IGA-based FEM uses the same mathematical construct that is used to visualize the geometry for complicated applications such as some animations and computer games. They are also less complicated to apply due to much lower need for partitioning the domain. This study applies the IGA method to solve the forward problem of diffuse Optical Tomography and compare the accuracy and speed of IGA solution to the conventional FEM solution. The comparison reveals that while both methods can reach high accuracy, the IGA solutions are relatively more accurate. Also, while low accuracy FEM solutions have shorter runtimes, in solutions with required higher accuracy levels, the IGA proves to be considerably faster.

10

Armstrong, Julian. "Anatomical optical coherence tomography in the human upper airway." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0022.

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[Truncated abstract] This thesis describes the development, clinical validation and initial application of a technique for taking measurements of the shape and dimensions of the human upper airway, called anatomical optical coherence tomography (aOCT). The technique uses a transparent catheter containing a rotating optical probe which is introduced transnasally and positioned in the airway and oesophagus. Optical coherence tomography is used to take calibrated cross-sectional images of the airway lumen as the probe rotates. The probe can also be advanced or withdrawn within the catheter during scanning to build up three-dimensional information. The catheter remains stationary so that the subject is not aware of the probe motion. The initial application of the system is research into obstructive sleep apnoea (OSA), a serious condition characterized by repetitive collapse of the upper airway during sleep and an independent risk factor for deaths by heart disease, strokes or car accidents. Measurement of upper airway size and shape is important for the investigation of the pathophysiology of OSA, and for the development and assesment of new treatments. . . We have used aOCT to capture three-dimensional data sets of the airway shape from upper oesophagus to the nasal cavity, undertaken measurements of compliance and other airway characteristics, and recorded dynamic airway shape during confirmed sleep apnoea events in a hospital sleep laboratory. We have shown that aOCT generates quantitative, real-time measurements of upper airway size and shape, allowing study over lengthy periods during both sleep and wakefulness. These features should make it useful for study of upper airway behavior to investigate OSA pathophysiology, and aid clinical management and treatment development.

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Книги з теми "Optical tomography":

1

Bernardes, Rui, and José Cunha-Vaz, eds. Optical Coherence Tomography. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27410-7.

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2

Girach, Aniz, and Robert C. Sergott, eds. Optical Coherence Tomography. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24817-2.

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3

Drexler, Wolfgang, and James G. Fujimoto, eds. Optical Coherence Tomography. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77550-8.

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4

Saxena, Sandeep. Optical coherence tomography. New York, NY: McGraw-Hill Medical, 2008.

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5

Saxena, Sandeep. Optical coherence tomography. New York, NY: McGraw-Hill, 2008.

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6

Coscas, Gabriel, F. Bandello, and Anat Loewenstein. Optical coherence tomography. Basel: Karger, 2014.

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7

Akman, Ahmet, Atilla Bayer, and Kouros Nouri-Mahdavi, eds. Optical Coherence Tomography in Glaucoma. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94905-5.

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8

1964-, Bouma Brett E., and Tearney Guillermo J, eds. Handbook of optical coherence tomography. New York: Marcel Dekker, 2002.

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9

F, Steinert Roger, and Huang David, eds. Anterior segment optical coherence tomography. Thorofare, NJ: SLACK, 2008.

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10

F, Steinert Roger, and Huang David, eds. Anterior segment optical coherence tomography. Thorofare, NJ: SLACK, 2008.

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Частини книг з теми "Optical tomography":

1

Chen, Zhongping. "Optical Coherence Tomography and Optical Doppler Tomography." In Encyclopedia of Microfluidics and Nanofluidics, 2529–35. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-5491-5_1155.

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2

Chen, Zhongping. "Optical Coherence Tomography and Optical Doppler Tomography." In Encyclopedia of Microfluidics and Nanofluidics, 1–7. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27758-0_1155-2.

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3

Fernández, Enrique Josua, and Pablo Artal. "Adaptive Optics in Ocular Optical Coherence Tomography." In Optical Coherence Tomography, 209–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27410-7_10.

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4

Reif, Roberto, and Ruikang K. Wang. "Optical Microangiography Based on Optical Coherence Tomography." In Optical Coherence Tomography, 1373–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06419-2_45.

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5

Gao, Feng. "Diffuse Optical Tomography." In Advanced Topics in Science and Technology in China, 47–184. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34303-2_3.

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6

Haeussler-Sinangin, Yesim, and Thomas Kohnen. "Optical Coherence Tomography." In Encyclopedia of Ophthalmology, 1–2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-642-35951-4_407-4.

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7

Nolte, David D. "Optical Coherence Tomography." In Optical Interferometry for Biology and Medicine, 297–306. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0890-1_11.

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8

Tsang, Stephen H., and Tarun Sharma. "Optical Coherence Tomography." In Advances in Experimental Medicine and Biology, 11–13. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95046-4_3.

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9

Boccara, Claude, and Arnaud Dubois. "Optical Coherence Tomography." In Optics in Instruments, 101–23. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118574386.ch3.

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10

Boppart, Stephen A. "Optical Coherence Tomography." In Springer Series in Optical Sciences, 309–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-46022-0_13.

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Тези доповідей конференцій з теми "Optical tomography":

1

Chapman, Joseph C., Joseph M. Lukens, Bing Qi, Raphael C. Pooser, and Nicholas A. Peters. "Bayesian Optical Heterodyne Tomography." In CLEO: QELS_Fundamental Science. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_qels.2022.ftu5a.5.

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We introduce a complete workflow for Bayesian quantum state tomography of generic continuous-variable states. We also summarize experimental results applying this workflow to the tomographic reconstruction of thermal and coherent states of light.

2

Lin, Yuechuan, Nichaluk Leartprapun, and Steven G. Adie. "High-throughput lightsheet optical manipulation and measurement with optical coherence tomography." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.otu1e.4.

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3

Wax, Adam. "Applications of Low Cost Optical Coherence Tomography." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om2e.2.

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4

Borycki, Dawid, Egidijus Auksorius, Piotr Węgrzyn, and Maciej Wojtkowski. "Digital aberration correction in spatiotemporal optical coherence (STOC) imaging with coherent averaging." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om2e.4.

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5

Schmetterer, Leopold, Rene M. Werkmeister, Damon Wing Kee Wong, Bingyao Tan, Xinwen Yao, Jacqueline Chua, and Gerhard Garhofer. "Quantitative Perfusion Measurements based on Doppler OCT and OCT Angiography." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om3e.1.

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6

Auksorius, Egidijus, Dawid Borycki, and Maciej Wojtkowski. "Crosstalk-free in vivo imaging of a human retina with Fourier-domain full-field optical coherence tomography." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om3e.2.

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7

Mujat, Mircea, Yang Lu, Gopi Maguluri, Nicusor Iftimia, and R. Daniel Ferguson. "Isotropic Imaging of Retinal Structures with Multi-Channel AOSLO." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om3e.3.

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8

Park, Hyeon-Cheol, Dawei Li, Runyu Tang, Cadman L. Leggett, Kenneth K. Wang, and Xingde Li. "Ex vivo Human Esophageal Tissue Imaging with Ultrahigh-resolution OCT Capsule." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om4e.3.

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9

Pfister, Martin, Kornelia Schuetzenberger, Jasmin Schaefer, Hannes Stegmann, Martin Groeschl, and René M. Werkmeister. "Identifying Diabetes in Mice using Optical Coherence Tomography Angiography Images of the Ears and Deep Learning." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om4e.4.

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10

Williams, Joseph, Wai Ching Lin, Wei Li, Shuangyu Wang, Stephen J. Matcher, and Adrien A. P. Chauvet. "Translating Optical Coherence Tomography Technologies from Clinical Studies to Botany: Real Time Imaging of Long-Distance Signaling in Plants." In Optical Coherence Tomography. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/oct.2020.om4e.6.

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Звіти організацій з теми "Optical tomography":

1

Xu, Min, and Melvin Lax. Time-Resolved Spectral Optical Breast Tomography. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada427245.

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2

Xu, Min, and Melvin Lax. Time-Resolved Spectral Optical Breast Tomography. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada418030.

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3

Yodh, Arjun G. Parallel, Rapid Diffuse Optical Tomography of Breast. Fort Belvoir, VA: Defense Technical Information Center, July 2001. http://dx.doi.org/10.21236/ada396638.

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4

Raymer, Michael G. Optical Field Reconstruction Using Phase-Space Tomography. Fort Belvoir, VA: Defense Technical Information Center, December 1999. http://dx.doi.org/10.21236/ada379215.

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5

Piao, Daqing. Transrectal Near-Infrared Optical Tomography for Prostate Imaging. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada509892.

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6

Alfano, Robert R., and S. K. Gayen. Time-Resolved and Spectroscopic Three-Dimensional Optical Breast Tomography. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada492472.

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7

Alfano, Robert R. Time-Resolved and Spectroscopic Three-Dimensional Optical Breast Tomography. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada464218.

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8

Fujimoto, James G. Advanced Technologies for Ultrahigh Resolution and Functional Optical Coherence Tomography. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada482111.

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9

Suter, Melissa J. Electromagnetic-Optical Coherence Tomography Guidance of Transbronchial Solitary Pulmonary Nodule Biopsy. Fort Belvoir, VA: Defense Technical Information Center, July 2014. http://dx.doi.org/10.21236/ada614445.

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10

Bennett, Hollis H., Goodson Jr., Curtis Ricky A., and John O. Computed-Tomography Imaging SpectroPolarimeter (CTISP) - A Passive Optical Sensor. Volume 2. Appendix B. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada399664.

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