Academic literature on the topic 'Speckle reduction'

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Journal articles on the topic "Speckle reduction"

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Finn, S., M. Glavin, and E. Jones. "Echocardiographic speckle reduction comparison." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 58, no. 1 (January 2011): 82–101. http://dx.doi.org/10.1109/tuffc.2011.1776.

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Trisnadi, Jahja I. "Hadamard speckle contrast reduction." Optics Letters 29, no. 1 (January 1, 2004): 11. http://dx.doi.org/10.1364/ol.29.000011.

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Zakeri, F., M. R. Saradjian, and M. R. Sahebi. "SPECKLE REDUCTION IN SAR IMAGES USING A BAYESIAN MULTISCALE APPROACH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 19, 2019): 1137–40. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-1137-2019.

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Abstract. Synthetic aperture radar (SAR) images are corrupted by speckles, which influence the interpretation of the images. Therefore, to reduce speckles and obtain reliable information from images, researchers studied different methods. This study proposes a Bayesian multiscale method, to reduce speckles in SAR images. First, it was shown that Laplacian probability density function can capture the characteristics of noise-free curvelet coefficients, and then, a maximum a posteriori (MAP) estimator was designed for estimating them. Comparison of the results obtained with those obtained from conventional speckle filters, such as Lee, Kuan, Frost, and Gamma filters, and also curvelet non-Bayesian despeckling, shows better achievement of the proposed algorithm. For instance, the improvement in different parameters is as follows: ‘noise mean value’ (NMV) 0.24 times, ‘noise standard deviation’ (NSD) 0.34 times, ‘mean square difference’ (MSD) 2.6 times and ‘equivalent number of looks’ (ENL) 0.61 times.
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MORI, Yutaka, and Takanori NOMURA. "Speckle Reduction in Holographic Display." Review of Laser Engineering 44, no. 7 (2016): 429. http://dx.doi.org/10.2184/lsj.44.7_429.

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Teo, Tat-Jin. "Speckle reduction in ultrasound imaging." Journal of the Acoustical Society of America 104, no. 3 (1998): 1156. http://dx.doi.org/10.1121/1.424317.

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Crimmins, Thomas R. "Geometric filter for speckle reduction." Applied Optics 24, no. 10 (May 15, 1985): 1438. http://dx.doi.org/10.1364/ao.24.001438.

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Karamanii, M., H. Elghandoor, and H. Ramadan. "THE DATA REDUCTION USING MATLAB FOR DIFFERENT SPECKLE IMAGES FORM SMALL SURFACES ROUGHNESS." International Journal of Advanced Research 9, no. 4 (April 30, 2021): 563–72. http://dx.doi.org/10.21474/ijar01/12732.

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The so-called laser speckles are bright spots and dark spots formed when a coherent ray is incident on a rough surface which scattered randomly in all directions, the interference of these scattered rays form these bright and dark spots (Laser Speckles).In this paper we are concerned with the formation of Objective speckles calculations. Using MATLAB the image can be converted into binary object (0 and 1) as the speckle spots intensities are dark and bright, respectively.To simplify the calculations, two processes (transform and predictive) may be used, and according to the loss of many data for the using of predictive process, the transform process is considered.The calculations are based on the evaluation on small roughness of surfaces in range 0.1 – 1 μm, on the same footing the contrast was considered in the range from zero to one.Fraunhofer diffraction Unfortunately, no calculations in this field had been done from other researchers.
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Trahey, G. E., J. W. Allison, S. W. Smith, and O. T. von Ramm. "A Quantitative Approach to Speckle Reduction via Frequency Compounding." Ultrasonic Imaging 8, no. 3 (July 1986): 151–64. http://dx.doi.org/10.1177/016173468600800301.

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Coherent speckle is a source of image noise in ultrasonic B-mode imaging. The use of multiple imaging frequencies has been suggested as a technique for speckle contrast reduction. This technique involves the averaging of images whose speckle patterns have been modified by a change in the spectrum of the transmitted or received acoustical pulse. We have measured the rate of this speckle pattern change in ultrasonic images as a function of the change in center frequency of the transmitted acoustical pulse. This data is used to quantitatively describe the trade-off of resolution loss versus speckle reduction encountered when frequency compounding is employed and to derive the optimal method of frequency compounding. These results are then used as a basis for describing the overall advisability of frequency compounding in ultrasonic imaging systems. Our analysis indicates that simple frequency compounding is counterproductive in improving image quality.
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Liu, Hong, Wei Sheng Wang, Bai Lin Na, and Wei Dong Liu. "Laser Speckle Reduction via Rotating Diffuser in LCOS Projection Display." Advanced Materials Research 159 (December 2010): 510–13. http://dx.doi.org/10.4028/www.scientific.net/amr.159.510.

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Through theoretical analysis the reasons of generating laser speckle, we use an optical scheme for reducing composite speckle in the three LCOS laser projection system. The project of rotating diffuser has a simple optical structure and can be easily implemented. Finally, experimental verification of rotating diffuser plate can effectively suppress laser speckle contrast.
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Qian Xu, Qian Xu, Zhiwei Sun Zhiwei Sun, Jianfeng Sun Jianfeng Sun, Yu Zhou Yu Zhou, Zhiyong Lu Zhiyong Lu, Xiaoping Ma Xiaoping Ma, and Liren Liu Liren Liu. "Speckle reduction of synthetic aperture imaging ladar based on wavelength characteristics." Chinese Optics Letters 12, no. 8 (2014): 080301–80305. http://dx.doi.org/10.3788/col201412.080301.

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Dissertations / Theses on the topic "Speckle reduction"

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Riechert, Falko. "Speckle reduction in projection systems." Karlsruhe Univ.-Verl. Karlsruhe, 2009. http://d-nb.info/997279346/04.

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Gebhardt, Mark William Dewdney. "Speckle reduction in SAR imagery." Master's thesis, University of Cape Town, 1995. http://hdl.handle.net/11427/18786.

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Synthetic Aperture Radar (SAR) is a popular tool for airborne and space-borne remote sensing. Inherent to SAR imagery is a type of multiplicative noise known as speckle. There are a number of different approaches which may be taken in order to reduce the amount of speckle noise in SAR imagery. One of the approaches is termed post image formation processing and this is the main concern of this thesis. Background theory relevant to the speckle reduction problem is presented. The physical processes which lead to the formation of speckle are investigated in order to understand the nature of speckle noise. Various statistical properties of speckle noise in different types of SAR images are presented. These include Probability Distribution Functions as well as means and standard deviations. Speckle is considered as a multiplicative noise and a general model is discussed. The last section of this chapter deals with the various approaches to speckle reduction. Chapter three contains a review of the literature pertaining to speckle reduction. Multiple look methods are covered briefly and then the various classes of post image formation processing are reviewed. A number of non-adaptive, adaptive and segmentation-based techniques are reviewed. Other classes of technique which are reviewed include Morphological filtering, Homomorphic processing and Transform domain methods. From this review, insights can be gained as to the advantages and disadvantages of various methods. A number of filtering algorithms which are either promising, or are representative of a class of techniques, are chosen for implementation and analysis.
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Li, Yikang. "Comparative study of speckle reduction approaches." Thesis, The George Washington University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1537954.

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The speckle reduction is an important problem in coherent imaging, such as synthetic aperture radar or ultrasound imagery. There are several well-known speckle filters for reducing speckle in coherent images. However, different speckle filters will have their own advantages and disadvantages. The performance of speckle filter depends strongly on the speckle and scene models that are used as the basis for filter development. In this thesis, we will compare four different approaches, Lee filter, Kuan filter, Frost filter and Improved Sigma filter for speckle reduction. This thesis will further describe the Improved Sigma filter since it is a new type of speckle filter for coherent images. We will apply these four speckle filters to our synthesized one-look amplitude synthetic aperture radar (SAR) image to reduce speckle noise. In order to compare these different speckle filters, the simulated SAR image data are used quantitatively to analyze these speckle filters. In addition, we will show their advantages and disadvantages in reducing speckle noise. Unlike the original Sigma filter, which has deficiencies in causing biased estimation and in depressing strong reflected targets, the Improved Sigma filter is more efficient when applied on simulated SAR image data.

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Welde, Kristine. "Investigation of methods for speckle contrast reduction." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10045.

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Speckle arises when coherent light is reflected from a rough screen and observed by an intensity detector with a finite aperture. Because speckle causes serious image degradation when lasers are used as light sources in e.g. projectors, methods for reducing the speckle contrast need to be developed. Different speckle contrast reduction methods are investigated in this thesis, such as a rotating diffuser and a sinusoidal rotating grating. In addition, speckle simulations with the optical system design software ZEMAX has been explored. A setup consisting of a 4-f imaging system with a rotating diffuser in the Fourier plane was developed in order to decide whether or not it is advantageous to perform speckle reduction in the Fourier plane. Hence, measurement series were performed with the rotating diffuser placed at different positions in the 4-f imaging system for comparison. Measurement series were executed both with an empty object plane and with a lens in it to spread the light in the Fourier plane. Placing a rotating diffuser in the Fourier plane does not appear to be effective for speckle contrast reduction. The last setup investigated was a transmissive spatial light modulator (SLM) placed in the beam path. Sinusoidal rotating gratings created by means of gray levels, to simulate a potential modulator based on a deformable polymer layer, were implemented on the SLM. The gratings were rotated around their centers, and in a spiral in order to reduce the speckle contrast. For the first method the modulator speckle contrast was 34% for N = 18 averaged images, and for the second method it was 31% for N = 36 averaged images, both with a grating period of 4 pixels. Due to the drawbacks of the SLM optimal results were not achieved, but the SLM is useful for a proof-of-concept. Further measurements should be performed for this promising, novel method based on a true sinusoidal grating.

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Apeland, Knut Øyvind. "Reduction of speckle contrast in HDTV laser projection display." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8943.

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Abstract In this thesis the focus has been on laser speckle. It is done in collaboration with poLight. They are developing a projector, where laser light is the source of illumination. In such projectors, laser speckle degrades the image quality. The aim of this project is to construct a speckle reduction device to be used in the laser projector. The theory covers a description of laser speckle, how to reduce the speckle contrast, and five methods to so. We explain why speckle arises and which parameters we can manipulate to reduce the speckle contrast. The five speckle reduction methods included in this thesis are; vibrating diffuser, slowly moving diffuser, Hadamard matrices, scattering tube, and vibrating mirror. Large vibrational motions are unwanted, considering the size of the device, generation of noise, and problems with alignment of the optical components in the projector that this would lead to. The quality of the laser beam is prominent in order to produce a sharp image, thus the use of diffusers with large scattering angles is not a good solution. The scattering tubes, designed by poLight, are tubes filled with micro pearls in a polymer gel. The size of the pearls decides the nature of the scattering. Larger pearls will give less back scattering and more light transmitted in the forward direction. If the tubes are rotated in a well balanced device we can avoid generating vibrations. The Hadamard matrices is the only one of the five methods which is not based on a motion. The challenge is to find a SLM to implement the matrices. It requires a low response time in order to present enough matrices during the exposure time of the eye. The laboratory setup we use to measure the speckle contrast is an improved version of the setup constructed in the specialisation project. A screen was removed from the old setup, and the speckle is now imaged directly from the speckle reduction device. The measured speckle reduction is thus due to the device alone, and not affected by the screen. The results were reproducible and in agreement with what we expected. We implemented a vibrating diffuser, both the single and the slowly moving. A piece cut from a plastic bag and some Scotch Magic tape were used as diffusers. The tape is the strongest diffuser and gives the lowest speckle contrast, however, it also has the largest scattering angle. The single tape diffuser reduced the speckle contrast to $C = 0.112$. With two tape difusers in series the intensity in the images becomes too low to exploit the dynamic range of the CCD sensor. The result is a higher calcualted speckle contrast with two diffusers, $C=0.131$, even though it ought to be smaller. We tested five prototypes of the scattering tube with different concentrations. The tube with the highest concentration has the highest speckle reduction abilities. It also has the strongest scattering effect. The scattering is less than with the tape diffuser, and so is the speckle reduction. The speckle contrast is reduced to $C=0.320$ when the tube is rotated, and to $C=0.389$ when it is vibrated. The tubes was also tested in series with a ground glass. The ground glass acted as a second diffuser. In this setting, vibration and rotation of the tubes reduced the speckle contrast equally, $C approx 0.283$ From the measured speckle contrast of the diffusers and tubes in stationary conditions, a polarization analysis should show a depolarization of the laser beam. This were the case only for the plastic diffuser. It is assumed that the error lays with the polarization analysis. There should be a depolarization in the tape and a partial depolarization in the tubes. A calculation of the speckle size was performed as well. Based on the theory we expected the size of the speckle grains to be $sigma_s = 37.77~mu m$. From the Fourier analysis of a speckle image from the setup we calculated the speckle size to be $sigma_s = 5.35$~mm, which is approximately 140 times bigger. The expected speckle size is too small, because we did not take into account a small magnification in the setup. The Fourier analysis of discrete and limited sets of data points is probably the main explanation of the difference, but a more thorough study is needed.

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Lifjeld, Anders. "Reduction of speckle contrast in laser based HDTV projection displays." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9636.

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In this assignment the theoretical background for the nature of speckle is presented and practical work was done to reduce the speckle effect in a display system based on a laser source. This was done without any picture modulators, or any kind of line scan or flying spot scanning. Work was done to find the right setup to be able to as easy as possible characterize the statistics of the speckle in an image. A still image of an expanded laser spot worked as an image. A series of test sets were carried out to address the different factors which could make a difference on the speckle contrast and their role in such systems.

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Fung, Ko Bong. "Speckle reduction for the reconstruction of synthetic aperture radar imagery." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21029.pdf.

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Geling, Gary W. "Speckle noise reduction of synthetic aperture radar imagery using Kalman filters." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/10356.

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Synthetic aperture radar (SAR) imagery is gaining increased usage as more systems become available and more applications are being developed. An "unfortunate" problem with SAR imagery is the high level of noise, often called speckle. The speckle effects reduce the utility of SAR imagery a great deal. This thesis will address the causes of speckle and many of the current methods that are used to reduce the speckle noise. Kalman filtering methods will then be adapted for use on SAR imagery taking into account the special properties of this type of filter and images.
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Ng, Edmund. "Speckle Noise Reduction via Homomorphic Elliptical Threshold Rotations in the Complex Wavelet Domain." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/812.

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Many clinicians regard speckle noise as an undesirable artifact in ultrasound images masking the underlying pathology within a patient. Speckle noise is a random interference pattern formed by coherent radiation in a medium containing many sub-resolution scatterers. Speckle has a negative impact on ultrasound images as the texture does not reflect the local echogenicity of the underlying scatterers. Studies have shown that the presence of speckle noise can reduce a physician's ability to detect lesions by a factor of eight. Without speckle, small high-contrast targets, low contrast objects, and image texture can be deduced quite readily.

Speckle filtering of medical ultrasound images represents a critical pre-processing step, providing clinicians with enhanced diagnostic ability. Efficient speckle noise removal algorithms may also find applications in real time surgical guidance assemblies. However, it is vital that regions of interests are not compromised during speckle removal. This research pertains to the reduction of speckle noise in ultrasound images while attempting to retain clinical regions of interest.

Recently, the advance of wavelet theory has lead to many applications in noise reduction and compression. Upon investigation of these two divergent fields, it was found that the speckle noise tends to rotate an image's homomorphic complex-wavelet coefficients. This work proposes a new speckle reduction filter involving a counter-rotation of these complex-wavelet coefficients to mitigate the presence of speckle noise. Simulations suggest the proposed denoising technique offers superior visual quality, though its signal-to-mean-square-error ratio (S/MSE) is numerically comparable to adaptive frost and kuan filtering.

This research improves the quality of ultrasound medical images, leading to improved diagnosis for one of the most popular and cost effective imaging modalities used in clinical medicine.
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ABOUELKARAM, SAID. "Etude experimentale du transducteur a phase aleatoire. Applications a la reduction du speckle acoustique." Paris 7, 1989. http://www.theses.fr/1989PA077174.

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Le bruit de speckle acoustique est une consequence de la nature stochastique de la reflectivite des milieux multidiffuseurs. Ce bruit peut etre reduit par des traitements incoherents. Le transducteur a phase aleatoire est propose comme une technique de traitement incoherent du signal acoustique, dans le but de reduire le bruit de speckle. Un ecran de phase aleatoire en mouvement a travers le faisceau ultrasonore, permet de controler la coherence spatiale du transducteur. Nous montrons que le degre de coherence spatiale du faisceau transmis est determine par la fonction d'autocorrelation de la transmittance de l'ecran. Nous avons etudie la dependance du changement du speckle, en fonction de la coherence partielle du transducteur a phase aleatoire. Nous decrivons le compromis existant entre la degradation de la resolution et l'amelioration du rapport signal sur bruit, dans le cas d'un traitement incoherent ou partiellement coherent. Nous presentons des configurations d'emploi d'un tel systeme a l'imagerie, a la reduction du speckle, et a la detection de reflecteurs speculaires, pouvant trouver des applications aussi bien dans le medical que dans le controle non destructif
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Books on the topic "Speckle reduction"

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Kerr, Andrew Thomas. Speckle reduction in B-scan imaging. 1986.

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L, Balkum S., Monin J. L, and United States. National Aeronautics and Space Administration., eds. Infrared speckle interferometry with 2-D arrays. [Washington, DC: National Aeronautics and Space Administration, 1994.

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Edwards, Thomas D. Implementation of three speckle reduction filters for solid propellant combustion holograms. 1986.

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Kaeser, Dana S. Code optimization of speckle reduction algorithms for image processing of rocket motor holograms. 1988.

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Galderisi, Maurizio, and Sergio Mondillo. Assessment of diastolic function. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0009.

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Modern assessment of left ventricular (LV) diastolic function should be based on the estimation of degree of LV filling pressure (LVFP), which is the true determinant of symptoms/signs and prognosis in heart failure.In order to achieve this goal, standard Doppler assessment of mitral inflow pattern (E/A ratio, deceleration time, isovolumic relaxation time) should be combined with additional manoeuvres and/or ultrasound tools such as: ◆ Valsalva manoeuvre applied to mitral inflow pattern. ◆ Pulmonary venous flow pattern. ◆ Velocity flow propagation by colour M-mode. ◆ Pulsed wave tissue Doppler of mitral annuls (average of septal and lateral E′ velocity).In intermediate doubtful situations, the two-dimensional determination of left atrial (LA) volume can be diagnostic, since LA enlargement is associated with a chronic increase of LVFP in the absence of mitral valve disease and atrial fibrillation.Some new echocardiographic technologies, such as the speckle tracking-derived LV longitudinal strain and LV torsion, LA strain, and even the three-dimensional determination of LA volumes can be potentially useful to add further information. In particular, the reduction of LV longitudinal strain in patients with LV diastolic dysfunction and normal ejection fraction demonstrates that a subclinical impairment of LV systolic function already exists under these circumstances.
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Galderisi, Maurizio, Juan Carlos Plana, Thor Edvardsen, Vitantonio Di Bello, and Patrizio Lancellotti. Cardiac oncology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0064.

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Cancer therapeutics may induce cardiac damage in the left and the right ventricle. Radiotherapy most frequently induces valvular damage, carotid stenosis, and coronary artery disease. Pericardial disease may be due to both chemo- and radiotherapy. The manifestations of both chemo- and radiotherapy can develop acutely but also become overt years after their performance, in particular after radiotherapy. The main cardiac damage of cancer therapeutics-related cardiac dysfunction (CTRCD) corresponds to the reduction of left ventricular (LV) systolic function. The Expert Consensus document from ASE and EACVI has defined CTRCD as a decrease in LV ejection fraction (LVEF) of greater than 10 percentage points, to a value less than 53%. The accurate calculation of LVEF at baseline and during follow-up is extremely important. The assessment of LV longitudinal function, in particular of speckle tracking-derived global longitudinal strain (GLS), can provide additional information, allowing early, subclinical detection of CTRCD. The ideal strategy could be to compare the measurements of GLS obtained during chemotherapy, with the one obtained at baseline. An integrated approach with the use of echocardiography at standardized, clinical preselected intervals with biomarker (ultrasensitive troponin) assessment prior to each chemotherapy cycle could be suggested in patients at high risk of CTRCD. Follow-up after therapy should depend on the type of chemotherapy/radiotherapy and the presence/absence of on-therapy CTRCD. Long-term follow-up should be planned after radiotherapy.
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Book chapters on the topic "Speckle reduction"

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Torres, Leonardo, Tamer Cavalcante, and Alejandro C. Frery. "Speckle Reduction Using Stochastic Distances." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 632–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33275-3_78.

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Federico, Alejandro, Guillermo H. Kaufmann, and Eduardo P. Serrano. "Speckle Noise Reduction in ESPI Fringes Using Wavelet Shrinkage." In Interferometry in Speckle Light, 397–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57323-1_49.

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Yamaguchi, Ichirou, Sohgo Ohta, and Jun-ichi Kato. "Surface Contouring by Phase-Shifting Digital Holography and Noise Reduction." In Interferometry in Speckle Light, 249–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57323-1_31.

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Ohya, Akihisa, Shin’ichi Yuta, Iwaki Akiyama, Takashi Itoh, and Masato Nakajima. "Speckle Noise Reduction Using PM Pulses." In Acoustical Imaging, 295–302. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-0791-4_31.

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Azzabou, Noura, and Nikos Paragios. "Spatio-temporal Speckle Reduction in Ultrasound Sequences." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008, 951–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85988-8_113.

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Zhu, Lei, Weiming Wang, Xiaomeng Li, Qiong Wang, Jing Qin, Kin-Hong Wong, and Pheng-Ann Heng. "Ultrasound Speckle Reduction via $$L_{0}$$ Minimization." In Computer Vision – ACCV 2016, 50–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54187-7_4.

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Fang, Faming, Yingying Fang, and Tieyong Zeng. "On the Convex Model of Speckle Reduction." In Mathematics and Visualization, 121–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91274-5_6.

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Pouet, Bruno, and Sridhar Krishnaswamy. "Noise Reduction Techniques for Electronic Speckle Interferometry." In Review of Progress in Quantitative Nondestructive Evaluation, 435–42. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2848-7_56.

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Rawat, Nishtha, Manminder Singh, and Birmohan Singh. "A Hybrid Approach for Speckle Reduction in Ultrasound." In International Conference on Innovative Computing and Communications, 259–68. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2324-9_26.

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Ramrath, Lukas, Guillermo Moreno, Heike Mueller, Tim Bonin, Gereon Huettmann, and Achim Schweikard. "Towards Multi-Directional OCT for Speckle Noise Reduction." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008, 815–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85988-8_97.

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Conference papers on the topic "Speckle reduction"

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Ouyang, G., Z. Tong, W. Gao, K. Wang, M. N. Akram, V. Kartashov, and X. Y. Chen. "Polymer-based multiple diffraction modulator for speckle reduction." In Speckle 2010, edited by Armando Albertazzi Goncalves, Jr. and Guillermo H. Kaufmann. SPIE, 2010. http://dx.doi.org/10.1117/12.869886.

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Kauffmann, J., Markus Gahr, and Hans J. Tiziani. "Noise reduction in speckle pattern interferometer." In Speckle Metrology 2003. SPIE, 2003. http://dx.doi.org/10.1117/12.516568.

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Gehlbach, Steve M., and F. G. Sommer. "Speckle Reduction Processing." In Pattern Recognition and Acoustical Imaging, edited by Leonard A. Ferrari. SPIE, 1987. http://dx.doi.org/10.1117/12.940265.

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Kucera, Petr, and Friedemann Mohr. "Partly Polarized Speckles and Speckle Reduction in Interferometry." In 2008 14th Conference on Microwave Techniques (COMITE 2008). IEEE, 2008. http://dx.doi.org/10.1109/comite.2008.4569928.

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Tong, Z. M., G. M. Ouyang, W. H. Gao, M. N. Akram, V. Kartashov, K. Y. Wang, and X. Y. Chen. "Simulation of laser speckle reduction by using an array of diffraction gratings." In Speckle 2010, edited by Armando Albertazzi Goncalves, Jr. and Guillermo H. Kaufmann. SPIE, 2010. http://dx.doi.org/10.1117/12.868999.

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Mantel, Klaus, Gerd Häusler, and Florian Doetzer. "Instantaneous speckle reduction? Yes, but there is no free lunch!" In SPECKLE 2018: VII International Conference on Speckle Metrology, edited by Michal Józwik, Leszek R. Jaroszewicz, and Malgorzata Kujawińska. SPIE, 2018. http://dx.doi.org/10.1117/12.2317925.

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Picart, Pascal, and Silvio Montresor. "Metrics and appraisal for noise reduction in holographic data processing." In SPECKLE 2018: VII International Conference on Speckle Metrology, edited by Michal Józwik, Leszek R. Jaroszewicz, and Malgorzata Kujawińska. SPIE, 2018. http://dx.doi.org/10.1117/12.2320048.

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Rostami, Yadolah, and Mohammad Abolhassani. "Speckle noise reduction by changing sampling size in digital holography." In SPECKLE 2012: V International Conference on Speckle Metrology, edited by Ángel F. Doval and Cristina Trillo. SPIE, 2012. http://dx.doi.org/10.1117/12.975967.

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Tong, Zhaomin, Akram M. Nadeem, and Xuyuan Chen. "Dynamic interference fringes generated by optical interferometer for laser speckle reduction." In SPECKLE 2012: V International Conference on Speckle Metrology, edited by Ángel F. Doval and Cristina Trillo. SPIE, 2012. http://dx.doi.org/10.1117/12.975950.

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Leeman, S., and D. A. Seggie. "Speckle Reduction Via Phase." In Pattern Recognition and Acoustical Imaging, edited by Leonard A. Ferrari. SPIE, 1987. http://dx.doi.org/10.1117/12.940264.

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Reports on the topic "Speckle reduction"

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Crimmins, Thomas R. Geometric Speckle Reduction. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada174628.

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Bowers, M. W., C. Kecy, L. Little, J. Cooke, J. Benterou, R. Boyd, and T. Birks. Speckle Reduction for LIDAR Using Optical Phase Conjugation. Office of Scientific and Technical Information (OSTI), February 2001. http://dx.doi.org/10.2172/15013526.

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ROHWER, JUDD A. Open-Loop Adaptive Filtering for Speckle Reduction in Synthetic Aperture Radar Images. Office of Scientific and Technical Information (OSTI), June 2000. http://dx.doi.org/10.2172/759434.

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