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Independent component analysis for the detection of in-vivo intrinsic signals from an optical imager of retinal function

Eduardo S. Barriga, Marios Pattichis, Michael Abramoff, Dan T'so, Young Kwon, Randy Kardon, Peter Soliz, Fabrice Manns, Per G. Soederberg, Arthur Ho, Bruce E. Stuck, Michael Belkin
2007 Ophthalmic Technologies XVII  
In this paper, we present a new Independent Component Analysis (ICA) algorithm used to analyze the video sequences from a set of experiments with different patterned stimuli from cats and humans.  ...  To overcome the difficulty in detection of loss of retinal activity, a functional-Retinal Imaging Device (f-RID) was developed.  ...  X A S = (1) Then independent component analysis consists of estimating both A and S using only the observations in X and the assumption that the source signals are statistically independent [24] .  ... 
doi:10.1117/12.701360 fatcat:ys5gr2zy4vgzvkiu7k7yzlonbi

Spatiotemporal Independent Component Analysis for the Detection of Functional Responses in Cat Retinal Images

E.S. Barriga, M.. Pattichis, D.. Ts'o, M.. Abramoff, R.. Kardon, Young Kwon, P.. Soliz
2007 IEEE Transactions on Medical Imaging  
In this paper, we quantify the limits of independent component analysis (ICA) for detecting the low intensity functional signal and apply ICA to 60 video sequences from experiments using an anesthetized  ...  We have devised a new retinal imaging system that detects intrinsic optical signals which reflect functional changes in the retina and that do not require patient cooperation.  ...  The analysis of the synthetic experiments has given us useful information in determining the threshold of stimulation that can be detected using the ICA algorithms.  ... 
doi:10.1109/tmi.2007.897366 pmid:17695124 fatcat:kebrigdkbff4hhc7hcxrghvena


Pan Feng, Wang Xiaojun, Wang Weihong
2014 International Journal on Smart Sensing and Intelligent Systems  
The two objective functions based on Kernel Independent Component Analysis: analysis of kernel independent component analysis based on kernel canonical component (KCCA) and kernel independent component  ...  In this paper, the prospect of caused motion detection of occlusion background foreground correlation problem, put forward the video moving object detection method based on kernel independent component  ...  The advantages of this method are in addition to using prior information and image object information, but also make full use of the complementary information of different images.  ... 
doi:10.21307/ijssis-2017-718 fatcat:ospy5pddmjc4fiq6qr4lgvod3u

Photothermal Optical Coherence Tomography of Anti-Angiogenic Treatment in the Mouse Retina Using Gold Nanorods as Contrast Agents

Andrew Y. Gordon, Maryse Lapierre-Landry, Melissa C. Skala, John S. Penn
2019 Translational Vision Science & Technology  
These experiments demonstrate the ability of PTOCT imaging of GNR to detect anti-VEGF-induced changes in the mouse retina using the LCNV model.  ...  This study shows that PTOCT imaging of GNR in the LCNV model can be used to detect clinically relevant, anti-VEGF-induced changes that are not visible using standard OCT systems.  ...  Acknowledgments We thank our colleagues in the Vanderbilt Department of Biostatistics for their assistance with calculating the statistical significance of our data.  ... 
doi:10.1167/tvst.8.3.18 pmid:31131155 pmcid:PMC6519216 fatcat:qi3lmdxbvzam3iyhboe3lkh57e

A Study on Retinal Image Segmentation and Registration Methods

B. Sivaranjani, C. Kalaiselvi
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Also registration of retinal images is very useful in extracting the motion parameters that help in composing a complete map for the retina as well as in retinal tracking.  ...  Diagnosis and treatment of several disorders affecting the retina and the choroid behind it require capturing a sequence of fundus images using the fundus camera.  ...  Survey on Retina Image Preprocessing A main problem encountered by medical imaging systems is the distortion of visual signals obtained due to imperfect acquisition and transmission errors.  ... 
doi:10.32628/cseit21713 fatcat:lgpt7rj6b5fuxbvrolvg7smq4e

Spatial summation in the human fovea: Do normal optical aberrations and fixational eye movements have an effect?

William S. Tuten, Robert F. Cooper, Pavan Tiruveedhula, Alfredo Dubra, Austin Roorda, Nicolas P. Cottaris, David H. Brainard, Jessica I. W. Morgan
2018 Journal of Vision  
Given our data and modeling, neurons in the magnocellular visual pathway, such as parasol ganglion cells, provide a candidate neural correlate of Ricco's area in the central fovea.  ...  This work is licensed under a Creative Commons Attribution 4.0 International License. summation curves obtained with and without pre-retinal factors using a single postreceptoral summing filter of fixed  ...  A principal components analysis (PCA) on the set of 2,000 response vectors was conducted and the first 60 principal components were retained.  ... 
doi:10.1167/18.8.6 pmid:30105385 pmcid:PMC6091889 fatcat:wstcx3lcy5hd5n4dno3f3yxokm

Channel surfing in the visual brain

Paul T. Sowden, Philippe G. Schyns
2006 Trends in Cognitive Sciences  
Specifically, we discuss the information available for categorisation from an analysis of different spatial scales by a bank of flexible, interacting spatial-frequency (SF) channels.  ...  Instead, we argue that following perceptual learning a specification of the diagnostic, object-based, SF information dynamically influences the "top-down" processing of retina-based SF information by these  ...  Acknowledgements This work was supported by the BBSRC (grants S13185 & S13186) and ESRC (R42200134352; R00032165). Thanks to Iona Alexander for comments on an earlier draft of this manuscript.  ... 
doi:10.1016/j.tics.2006.10.007 pmid:17071128 fatcat:bwx66kgotfdtrjaidickyvgvie

Biologically Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Images

Fei Gao, Fei Ma, Yaotian Zhang, Jun Wang, Jinping Sun, Erfu Yang, Amir Hussain
2016 Cognitive Computation  
Based on the analysis of retina and visual cortex in biological visual systems, a progressive enhancement detection method for SAR targets is proposed in this paper.  ...  RET stage is responsible for eliminating the redundant information of input SAR image, enhancing inputs' features, and transforming them to excitation signals.  ...  Acknowledgements This work is supported by the National Natural Science  ... 
doi:10.1007/s12559-016-9405-9 fatcat:b45b4iticrdjjmxzx2vkwyn4se

Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis

Rahel Buechi, Livia Faes, Lucas M Bachmann, Michael A Thiel, Nicolas S Bodmer, Martin K Schmid, Oliver Job, Kenny R Lienhard
2017 BMJ Open  
systemic illness affecting the retina, and 5) no dementia or other limitation that would prevent the patient from performing a self-test of visual function.  ...  As described in prior work, we use a peak detection algorithm that uses a filter bank with estimates of heart rate, variable cut-off frequencies, rank-order nonlinear filters, and decision logic as well  ... 
doi:10.1136/bmjopen-2017-018280 pmid:29247099 pmcid:PMC5735404 fatcat:6d7rtjukyjej5n4mclon5qusdm

Natural Image Statistics and Neural Representation

Eero P Simoncelli, Bruno A Olshausen
2001 Annual Review of Neuroscience  
Attneave (1954) and Barlow (1961) proposed that information theory could provide a link between environmental statistics and neural responses through the concept of coding efficiency.  ...  Recent developments in statistical modeling, along with powerful computational tools, have enabled researchers to study more sophisticated statistical models for visual images, to validate these models  ...  Figure 2 Illustration of principal component analysis and independent component analysis on non-Gaussian data in two dimensions. (a) Original data, a linear mixture of two non-Gaussian sources.  ... 
doi:10.1146/annurev.neuro.24.1.1193 pmid:11520932 fatcat:sq4wgjtepfakhayy343qwouvqy

Vision, Psychophysics and Bayes [chapter]

2002 Probabilistic Models of the Brain  
Although SDT worked well in the analysis of mechanisms of motion detection, we need a theoretical framework for which the signals can be any properties of the world useful for the visual behavior; for  ...  A model for motion detection When a person moves relative to the environment, the visual image projected onto the retina changes accordingly.  ... 
doi:10.7551/mitpress/5583.003.0006 fatcat:bwykk7a7rzdszbvmpeboff3eou

Extraction Zoning Feature to Diabetic Retinopathic Detection Models

Erwin Sirait, Muhammad Zarlis, Syahril Efendi
2018 International Journal of Engineering & Technology  
The detection of the disease is done by looking at the information on the retinal image and can then be classified according to severity.  ...  The process of classification is based fiture-fiture the retinal image obtained by the extraction process using extraction methods Zoning.  ...  These detection techniques produce most of the features used in the diabetic retinopathy automatic detection system.  ... 
doi:10.14419/ijet.v7i3.2.18757 fatcat:ayomyooi3zcphdpym4gvhm3ana

High-Resolution Remotely Sensed Small Target Detection by Imitating Fly Visual Perception Mechanism

Fengchen Huang, Lizhong Xu, Min Li, Min Tang
2012 Computational and Mathematical Methods in Medicine  
A small target detector and corresponding detection algorithm are designed by simulating the mechanism of information acquisition, compression, and fusion of fly visual system and the function of pool  ...  Inspired by the information capture and processing theory of fly visual system, this paper endeavors to construct a characterized model of information perception and make use of the advantages of fast  ...  Acknowledgment This work was supported by the National Natural Science Foundation of China (no. 60901003).  ... 
doi:10.1155/2012/789429 pmid:22291854 pmcid:PMC3265085 fatcat:bckis26hqragzd4x5gyn6vykpy

Dynamical neural networks: Modeling low-level vision at short latencies

L. Perrinet
2007 The European Physical Journal Special Topics  
By explicitely defining this efficiency, we propose then a simple implementation of Sparse Spike Coding using greedy inference mechanisms but also how the system may adapt in a unsupervised fashion.  ...  In a generic model of a visual area, we propose to study the neural code as implementing visual pattern matching, that is as efficiently inverting a known model of image synthesis.  ...  In fact, the previous principles are the direct consequence of the construction of the cortex as a tiling of similar micro-circuits.  ... 
doi:10.1140/epjst/e2007-00061-7 fatcat:ljct5ea6bnekrm2zolkx5rx3ky

Real Time Iris Image Segmentation for Non Co-Operative Environment

Patil MayurJ., K. P. Adhiya
2014 International Journal of Computer Applications  
In proposed system K-Mean Clustering algorithm is used for segmentation purpose & for recognition Principal Component Analysis (PCA) & Independent Component Analysis (ICA) algorithms are used.  ...  To find a linear representation of non gaussian data, Independent Component Analysis is used & because of this the components are statistically independent, or as independent as possible.  ... 
doi:10.5120/15273-3944 fatcat:iovtnxlnijcfrbwnk4uod2junu
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