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Two Dimensional Phase Unwrapping Theory Algorithms And Software
TLDR
Two-dimensional phase unwrapping algorithms applied to feminist theory crime and social justice theoretical conscience volume 4 dr-caloriez henry and the paper route cafebr chapter 3 what is money mishkin cafebr.Abstract:
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Citations
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Journal ArticleDOI
Combining rheology and MRI: Imaging healthy and tumorous brains based on mechanical properties.
Anna-Lisa Kofahl,Sebastian Theilenberg,Jakob Bindl,Deniz Ulucay,Judith Wild,Sylvia Napiletzki,Birgit Schu-Schätter,Alexandra Vohlen,Bogdan Pintea,Jürgen Finsterbusch,Elke Hattingen,Carsten Urbach,Karl Maier +12 more
TL;DR: A novel technique to create an imaging contrast based on the aforementioned properties is presented and it is shown that pathological changes in tissue alter its mechanical properties.
Fast Time-of-Flight Phase Unwrapping and Scene Segmentation Using Data Driven Scene Priors
TL;DR: This work details a physical model of the observable illumination of the scene which provides priors for a novel probabilistic framework to recover the scene geometry by imaging only a single modulated signal.
Dissertation
Contribution to ground-based and uav sar systems for earth observation
TL;DR: In this article, the authors evaluated the capabilities of two X-band SAR sensors, the RISKSAR-X radar and the ARBRES-X sensor, which are integrated into small UAVs.
Proceedings ArticleDOI
Design of a dual wavelength digital holographic imaging system for the examination of layered structures
TL;DR: In this article, a dual-wavelength digital holographic microscopy was proposed, where the phase imaging of each individual layer is performed by a single wavelength, and then the axial distance between all layers is determined based on the comparison between the phase maps produced by each wavelength.
Journal ArticleDOI
Comparison of multihardware parallel implementations for a phase unwrapping algorithm
TL;DR: A parallel multigrid algorithm of a phase unwrapping method named accumulation of residual maps, which builds on a serial algorithm that consists of the minimization of a cost function; minimization achieved by means of a serial Gauss–Seidel kind algorithm.
References
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Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.
Yi Wang,Tian-Yu Liu +1 more
TL;DR: This paper attempts to summarize the basic physical concepts and essential algorithmic steps in QSM, to describe clinical and technical issues under active development, and to provide references, codes, and testing data for readers interested inQSM.
Journal ArticleDOI
Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review
TL;DR: The results show that the multi-frequency temporal phase unwrapping provides the best unwrapped reliability, while the multi -wavelength approach is the most susceptible to noise-induced unwrappers errors.
Journal ArticleDOI
High-speed 3D shape measurement with structured light methods: A review
TL;DR: The fundamental principles behind the primary state-of-the-art 3D shape measurement techniques based on structured light methods will be elucidated, experimental results will be presented to demonstrate capabilities and/or limitations for those popular techniques, and perspectives on those remaining challenges to be conquered to make advanced 3Dshape measurement techniques ubiquitous are presented.
Journal ArticleDOI
Quantitative susceptibility mapping: current status and future directions.
E. Mark Haacke,E. Mark Haacke,E. Mark Haacke,Saifeng Liu,Sagar Buch,Weili Zheng,Dongmei Wu,Yongquan Ye +7 more
TL;DR: This review evaluates the entire process of QSM from data acquisition to individual data processing steps and concludes that QSM holds great promise in quantifying iron and becoming a standard clinical tool.
Journal ArticleDOI
Diffraction phase microscopy: principles and applications in materials and life sciences
Basanta Bhaduri,Chris Edwards,Hoa V. Pham,Renjie Zhou,Tan H. Nguyen,Lynford L. Goddard,Gabriel Popescu +6 more
TL;DR: In this article, the authors present a diffraction phase microscopy (DPM) system, which is a common-path quantitative phase imaging (QPI) method that significantly alleviates the noise problem.