Academic literature on the topic 'Inhomogenous Imaging'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Inhomogenous Imaging.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Inhomogenous Imaging"
Crone, M., I. R. Barkshire, M. Prutton, and P. G. Kenny. "Auger imaging from rough, chemically inhomogenous, materials." Surface and Interface Analysis 22, no. 1-12 (July 1994): 581–84. http://dx.doi.org/10.1002/sia.7402201123.
Full textChiavassa, A., S. Lacour, F. Millour, T. Driebe, M. Wittkowski, B. Plez, E. Thiébaut, et al. "VLTI/AMBER spectro-interferometric imaging of VX Sagittarii's inhomogenous outer atmosphere." Astronomy and Astrophysics 511 (February 2010): A51. http://dx.doi.org/10.1051/0004-6361/200913288.
Full textSiarkowski, M. "Imaging stellar coronae from eclipsing binary X-ray light curves." Symposium - International Astronomical Union 176 (1996): 469–76. http://dx.doi.org/10.1017/s0074180900083480.
Full textLu, Pan, and Panagiotis Kosmas. "Three-Dimensional Microwave Head Imaging with GPU-Based FDTD and the DBIM Method." Sensors 22, no. 7 (March 31, 2022): 2691. http://dx.doi.org/10.3390/s22072691.
Full textKantilaras, Anggita Putri. "Role of Ultrasound in the Diagnosis Approach of Malignant Solitary Fibrous Tumor." Journal of Diagnostic Medical Sonography 34, no. 5 (July 23, 2018): 391–95. http://dx.doi.org/10.1177/8756479318781779.
Full textKrohn, T., A. Ghassemi, M. Gerressen, F. A. Verburg, F. M. Mottaghy, and F. F. Behrendt. "Bone graft scintigraphy." Nuklearmedizin 51, no. 05 (2012): 201–4. http://dx.doi.org/10.3413/nukmed-0469-12-01.
Full textKrška, Zdeněk, Jan Šváb, David Hoskovec, and Jan Ulrych. "Pancreatic Cancer Diagnostics and Treatment – Current State." Prague Medical Report 116, no. 4 (2015): 253–67. http://dx.doi.org/10.14712/23362936.2015.65.
Full textLischka, F. W., and D. Schild. "Standing calcium gradients in olfactory receptor neurons can be abolished by amiloride or ruthenium red." Journal of General Physiology 102, no. 5 (November 1, 1993): 817–31. http://dx.doi.org/10.1085/jgp.102.5.817.
Full textČapek, Martin, Michaela Blažíková, Ivan Novotný, Helena Chmelová, David Svoboda, Barbora Radochová, Jiří Janáček, and Ondrej Horváth. "The Wavelet-Based Denoising Of Images in Fiji, With Example Applications in Structured Illumination Microscopy." Image Analysis & Stereology 40, no. 1 (April 9, 2021): 3–16. http://dx.doi.org/10.5566/ias.2432.
Full textGutman, S., and M. Klibanov. "Three-dimensional inhomogeneous media imaging." Inverse Problems 10, no. 6 (December 1, 1994): L39—L46. http://dx.doi.org/10.1088/0266-5611/10/6/002.
Full textDissertations / Theses on the topic "Inhomogenous Imaging"
Arpinar, Volkan Emre. "Analysis Of Magnetic Resonance Imaging In Inhomogenous Main Magnetic Field." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611008/index.pdf.
Full textLee, Delman. "Seismic imaging through inhomogeneous media." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.305556.
Full textThayer, David A. "Imaging Techniques and Hardware for Inhomogeneous MRI." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd535.pdf.
Full textYigitler, Huseyin. "Permanent Magnet Design And Image Reconstruction Algorithm For Magnetic Resonance Imaging In Inhomogeneous Magnetic Fields." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607627/index.pdf.
Full textAkram, Farhan. "Active contours for intensity inhomogeneous image segmentation." Doctoral thesis, Universitat Rovira i Virgili, 2017. http://hdl.handle.net/10803/442961.
Full textLa “inhomogeneidad” (falta de homogeneidad) de intensidad es un problema bien conocido en la segmentación de imágenes, lo que afecta la precisión de los métodos de segmentación basados en la intensidad. En esta tesis, se proponen métodos de contorno activo basado en bordes y regiones para segmentar imágenes inhomogéneas. En primer lugar, se ha propuesto un método de contorno activo basado en fronteras mediante Diferencia de Gaussianas (DoG), que ayuda a segmentar la estructura global de la imagen. En segundo lugar, hemos propuesto un método de contorno activo basado en regiones para corregir y segmentar imágenes inhomogéneas. Se ha utilizado un núcleo de transformación de fase (phase stretch transform - PST) para calcular nuevas intensidades medias y campos de polarización, que se emplean para definir una imagen ajustada de polarización. En tercer lugar, se ha propuesto otro método de contorno activo basado en regiones utilizando un funcional de energía basado en imágenes ajustadas locales y globales. El campo de polarización se aproxima con una distribución Gaussiana y el sesgo de las regiones no homogéneas se corrige dividiendo la imagen original por el campo aproximado de polarización. Finalmente, se ha propuesto un método híbrido de contornos activos multifásico (cuatro fases) para dividir una imagen de RM cerebral en tres regiones distintas: materia blanca (WM), materia gris (GM) y líquido cefalorraquídeo (CSF). En este trabajo, también se ha diseñado un método de post-procesado (corrección de píxeles) para mejorar la precisión de las regiones WM, GM y CSF segmentadas. Se han utilizado resultados experimentales tanto con imágenes sintéticas como con imágenes reales de RM del cerebro para una comparación cuantitativa y cualitativa con métodos de contornos activos del estado del arte para mostrar las ventajas de las técnicas de segmentación propuestas.
Intensity inhomogeneity is a well-known problem in image segmentation, which affects the accuracy of intensity-based segmentation methods. In this thesis, edge-based and region-based active contour methods are proposed to segment intensity inhomogeneous images. Firstly, we have proposed an edge-based active contour method based on the Difference of Gaussians (DoG), which helps to segment the global structure of the image. Secondly, we have proposed a region-based active contour method to both correct and segment intensity inhomogeneous images. A phase stretch transform (PST) kernel has been used to compute new intensity means and bias field, which are employed to define a bias fitted image. Thirdly, another region-based active contour method has been proposed using an energy functional based on local and global fitted images. Bias field is approximated with a Gaussian distribution and the bias of intensity inhomogeneous regions is corrected by dividing the original image by the approximated bias field. Finally, a hybrid region-based multiphase (four-phase) active contours method has been proposed to partition a brain MR image into three distinct regions: white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). In this work, a post-processing (pixel correction) method has also been devised to improve the accuracy of the segmented WM, GM and CSF regions. Experimental results with both synthetic and real brain MR images have been used for a quantitative and qualitative comparison with state-of-the-art active contour methods to show the advantages of the proposed segmentation techniques.
Yilmaz, Ayhan Ozan. "Rf Coil System Design For Mri Applications In Inhomogeneous Main Magnetic Field." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608477/index.pdf.
Full textthe tuning and matching capacitance values are calculated and the frequency characteristics of the system is tested using Electronic Workbench 5.1. The quality factor value of the tested system is found to be 162.5, which corresponds to a bandwidth of 39,2 KHz at 6,387 MHz (operating frequency of METU MRI system). The techniques suggested in this study can be used in order to design and realize RF coils on prede¯
ned arbitrary surfaces for inhomogeneous main magnetic fields. In addition, a hand held MRI device can be manufactured which uses a low cost permanent magnet to provide a magnetic field and generates the required RF field with the designed RF coil using the techniques suggested in this study.
Bhallamudi, Vidya Praveen. "Spins in heterogeneous landscapes: Consequences for transport and imaging." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306871981.
Full textNunes, Dourado de Carvalho Victor. "Dipolar order relaxation (T1D) in myelin : a combined inhomogeneous MT (ihMT) MRI and Jeener-Broekaert NMR approach." Thesis, Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0195.
Full textInhomogeneous magnetization transfer (ihMT) is a MRI technique that enables accurate measurement of myelin content in the central nervous system in vivo. ihMT highlights the dipolar order effects and is weighted by the associated relaxation time T1D. T1D is modulated by molecular dynamics, however it provides additional sensitivity to slow motional processes. Hence assessing T1D is important to add new information to characterize biological tissues and associated pathophysiology. ihMT and other MRI techniques can be used to evaluate myelin in vivo, and help diagnosis and follow-up of multiple sclerosis patients. New experiments have suggested that myelinated tissues and membranes would exhibit multiple T1D components probably due to a heterogeneous molecular mobility and relatively slow magnetization mixing mechanisms. To better understand T1D relaxation, the presented work uses a NMR method, the Jeener-Broekaert sequence. With this sequence, multi-T1D relaxation was observed on synthetic lipid membranes, surrogate models of myelin. This work proposes a new ihMT model with two dipolar order reservoirs and associated T1Ds. Quantitative T1D maps were generated. Implementation of the proposed model found short and long T1D on the order of 500 μs and 10 ms, respectively, in fixed rat spinal cord. Combining NMR and MRI assessments of T1D may help understand what states of myelin, in terms of composition, structure and molecular dynamics, contribute to the ihMT signal in vivo
Prevost, Valentin. "Validation du transfert d'aimantation inhomogène (ihMT) comme nouveau biomarqueur IRM de la myéline." Thesis, Aix-Marseille, 2018. http://www.theses.fr/2018AIXM0037/document.
Full textMagnetic resonance imaging (MRI) is a non-invasive medical imaging technique, widely used to explore soft tissues. Advanced and innovated MRI techniques have been developed to improve the specificity of conventional MR sequences thus allowing accessing new information. A particularly important research topic concerns the ability to in vivo access myelin information. Myelin is a major component of the central nervous system responsible for a good nerve conduction. Myelin alteration occurs in multiple sclerosis, one of the main cause for young adult permanent disability. However, myelin MRI is challenged by the very short relaxation time, T2, of myelin protons. Inhomogeneous magnetization transfer (ihMT) is a recent technique, which allows assessing macromolecular tissue component by exploiting their dipolar order relaxation properties, characterized by the time constant T1D. The objective of this thesis concerned the validation of ihMT as a myelin biomarker and the evaluation of the specificity of ihMT for myelin on mouse models
周卓平. "Imaging inhomogeneous penetrable media:electromagnetic inverse scattering and diffuse light imaging techniques." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/04259713504241466819.
Full textBooks on the topic "Inhomogenous Imaging"
Bociort, Florian. Imaging properties of gradient-index lenses. Berlin: Verlag Köster, 1994.
Find full textBook chapters on the topic "Inhomogenous Imaging"
Dorme, Christian, and Mathias Fink. "Matched Filter Imaging Through Inhomogeneous Media." In Acoustical Imaging, 1–8. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_1.
Full textBurov, V. A., I. E. Gurinovich, O. V. Rudenko, and E. Ya Tagunov. "Nonlinear Acoustical Tomography in Inhomogeneous Media." In Acoustical Imaging, 125–30. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4419-8772-3_20.
Full textHardy, Edme H. "Imaging with an Inhomogeneous Gradient." In NMR Methods for the Investigation of Structure and Transport, 203–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21628-2_9.
Full textGan, W. S. "A Statistical Approach to Sound Scattering in Random Inhomogeneous Medium." In Acoustical Imaging, 427–34. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0791-4_45.
Full textCassereau, D., and M. Fink. "Theoretical Modelisation of Time-Reversal Cavities, Application to Self-Focussing in Inhomogeneous Media." In Acoustical Imaging, 141–47. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3370-2_24.
Full textMarsh, K. A., J. M. Richardson, and J. F. Martin. "Application of the Phase Closure Technique to Passive Acoustic Imaging Through Inhomogeneous Media." In Acoustical Imaging, 133–40. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-2523-9_12.
Full textEftimiu, C. "Inverse Electromagnetic Scattering for Radially Inhomogeneous Dielectric Spheres." In Inverse Methods in Electromagnetic Imaging, 157–76. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-010-9444-3_11.
Full textYin, Feng, J. S. Wang, B. L. Gu, Q. S. Li, and Yu Wei. "An Inverse Scattering Method for Reconstructing Distribution of the Velocity Perturbation in Inhomogeneous Background Medium." In Acoustical Imaging, 629–36. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2958-3_85.
Full textTijhuis, A. G. "Inverse Profiling for an Inhomogeneous, Plane-Stratified Lossy Causal Medium." In Inverse Problems and Theoretical Imaging, 370–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75298-8_46.
Full textArpınar, V. Emre, and B. M. Eyüboğlu. "Magnetic Resonance Imaging in Inhomogeneous Magnetic Fields with Noisy Signal." In IFMBE Proceedings, 410–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_97.
Full textConference papers on the topic "Inhomogenous Imaging"
Poudel, Joemini, Thomas P. Matthews, Kenji Mitsuhashi, Alejandro Garcia-Uribe, Lihong V. Wang, and Mark A. Anastasio. "Iterative image reconstruction in elastic inhomogenous media with application to transcranial photoacoustic tomography." In SPIE Medical Imaging, edited by Neb Duric and Brecht Heyde. SPIE, 2017. http://dx.doi.org/10.1117/12.2254141.
Full textHan, Minchao, Robert Gordon, Mohsen Talei, Michael Brear, and Joshua Lacey. "Imaging the ignition of dense, inhomogenous liquid fuel sprays at elevated temperatures and pressures." In 22nd Australasian Fluid Mechanics Conference AFMC2020. Brisbane, Australia: The University of Queensland, 2020. http://dx.doi.org/10.14264/d66d1aa.
Full textHan, Hsiu C., and Chao-Sheng Wang. "Microwave imaging in inhomogeneous media." In SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, edited by Satish S. Udpa and Hsiu C. Han. SPIE, 1994. http://dx.doi.org/10.1117/12.186719.
Full textRen, Jing. "Adaptive deformable image registration of inhomogeneous tissues." In SPIE Medical Imaging, edited by Robert J. Webster and Ziv R. Yaniv. SPIE, 2015. http://dx.doi.org/10.1117/12.2082487.
Full textZheng, Bing, Hao Zhang, Haiyong Zheng, and T. Aaron Gulliver. "Underwater imaging based on inhomogeneous illumination." In 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PacRim). IEEE, 2011. http://dx.doi.org/10.1109/pacrim.2011.6033010.
Full textRaghupathy, Ramesh, and Victor H. Barocas. "An Inverse Finite Element Method for Estimating Elastic Coefficients of Anisotropic and Inhomogeneous Materials." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-193089.
Full textBarrett, H. H., J. P. Rolland, R. F. Wagner, and K. J. Myers. "Detection And Discrimination Of Known Signals In Inhomogeneous, Random Backgrounds." In 1989 Medical Imaging, edited by Samuel J. Dwyer III, R. Gilbert Jost, and Roger H. Schneider. SPIE, 1989. http://dx.doi.org/10.1117/12.953202.
Full textYe, Xiuzhu. "An inhomogeneous background microwave imaging algorithm as applied in bio-imaging." In 2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT). IEEE, 2019. http://dx.doi.org/10.1109/icmmt45702.2019.8992524.
Full textLarouche, Stephane. "Plasma-deposited inhomogeneous optical filters." In Opto-Canada: SPIE Regional Meeting on Optoelectronics, Photonics, and Imaging, edited by John C. Armitage. SPIE, 2017. http://dx.doi.org/10.1117/12.2283968.
Full textCheng, Jun, Ronald Chung, Edmund Y. Lam, Kenneth S. M. Fung, Fan Wang, and W. H. Leung. "Boundary detection of projected fringes on surface with inhomogeneous reflectance function." In Electronic Imaging 2006, edited by Fabrice Meriaudeau and Kurt S. Niel. SPIE, 2006. http://dx.doi.org/10.1117/12.648604.
Full text