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2020 Index IEEE Transactions on Computational Imaging Vol. 6

2020 IEEE Transactions on Computational Imaging  
., +, TCI 2020 503-517 Automated Regularization Parameter Selection Using Continuation Based Proximal Method for Compressed Sensing MRI.  ...  ., +, TCI 2020 739-748 Automated Regularization Parameter Selection Using Continuation Based Proximal Method for Compressed Sensing MRI.  ...  ., +, TCI 2020 125-137 Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography. Felsner, L., +, TCI 2020 625-639  ... 
doi:10.1109/tci.2021.3054596 fatcat:puij7ztll5ai7alxrmqzsupcny

2014 Index IEEE Transactions on Medical Imaging Vol. 33

2014 IEEE Transactions on Medical Imaging  
., +, TMI Oct. 2014 2039-2065 Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging.  ...  ., +, TMI Feb. 2014 225-232 Diffuse Optical Tomography Enhanced by Clustered Sparsity for Functional Brain Imaging.  ...  ., 1969 -1985 Numerical Surrogates for Human Observers in Myocardial Motion Evaluation From SPECT Images.  ... 
doi:10.1109/tmi.2014.2386278 fatcat:poarfhfto5bm5mhfl7ugwtw4xy

Special Section Guest Editorial: Optical Computational Imaging

Abhijit Mahalanobis, Amit Ashok, Lei Tian
2017 Optical Engineering: The Journal of SPIE  
His research experience spans both industry and academia and his research interests include computational imaging and sensing, physical optics, Bayesian inference, statistical learning theory, and information  ...  He serves as an associate editor for the Journal of Optical Society of America A and is currently a general chair of SPIE conferences on anomaly detection and imaging with x-rays and computational imaging  ...  Sun et al. discuss the role of regularization parameters in the reconstruction of 3D volumes in diffuse optical tomography.  ... 
doi:10.1117/1.oe.56.4.041301 fatcat:orolih6xjbg6zi2uosof7kp73i

Hemodynamic signature of breast cancer under fractional mammographic compression using a dynamic diffuse optical tomography system

Stefan A. Carp, Amir Y. Sajjadi, Christy M. Wanyo, Qianqian Fang, Michelle C. Specht, Lidia Schapira, Beverly Moy, Aditya Bardia, David A. Boas, Steven J. Isakoff
2013 Biomedical Optics Express  
Near infrared dynamic diffuse optical tomography measurements of breast hemodynamics during fractional mammographic compression offer a novel contrast mechanism for detecting breast cancer and monitoring  ...  We measured both the absolute values and the temporal evolution of hemoglobin concentration during 25-35 N of compression for 22 stage II and III breast cancer patients scheduled to undergo neoadjuvant  ...  Nancy Nagda for coordinating patient scheduling and the staff of the MGH Center for Breast Cancer for their support.  ... 
doi:10.1364/boe.4.002911 pmid:24409390 pmcid:PMC3862147 fatcat:6dzb4g74p5gqrok6zru4bqx7ia

Multiple-view diffuse optical tomography system based on time-domain compressive measurements

Andrea Farina, Marta Betcke, Laura di Sieno, Andrea Bassi, Nicolas Ducros, Antonio Pifferi, Gianluca Valentini, Simon Arridge, Cosimo D'Andrea
2017 Optics Letters  
We acknowledge the support of NVIDIA with the donation of the Tesla K40 GPU used for this research.  ...  Compressive sensing is a powerful tool to efficiently acquire and reconstruct an image even in diffuse optical tomography (DOT) applications.  ...  optical parameters) and inclusions, for both imaging and reconstruction.  ... 
doi:10.1364/ol.42.002822 pmid:28708178 fatcat:3dh7lovshvcmxbzj5aw4zaf63y

Connectome spectrum electromagnetic tomography: a method to reconstruct electrical brain sources at high-spatial resolution [article]

Joan Rue Queralt, Hugo Fluhr, Sebastien Tourbier, Yasser Aleman Gomez, David Pascucci, Jerome Yerly, Katharina Glomb, Gijs Plomp, Patric Hagmann
2022 bioRxiv   pre-print
The discovery that the structural connectome serves as a compact representation of brain activity allowed us to apply compressed sensing to M/EEG source reconstruction of brain electrical activity.  ...  We show that the introduction of this biological constraint significantly increases the signal-to-noise ratio and spatial conspicuity of the reconstruction in human datasets.  ...  Rohde and Mikkel Schöttner for their helpful comments on this article.  ... 
doi:10.1101/2022.07.26.501544 fatcat:mrw76of3ujg4xjvyuhmx3bzb3q

Noniterative MAP Reconstruction Using Sparse Matrix Representations

Guangzhi Cao, C.A. Bouman, K.J. Webb
2009 IEEE Transactions on Image Processing  
We demonstrate the potential of the noniterative MAP reconstruction with examples from optical tomography. The method requires offline computation to encode the inverse transform.  ...  We present a method for noniterative maximum a posteriori (MAP) tomographic reconstruction which is based on the use of sparse matrix representations.  ...  We demonstrate the potential of our noniterative MAP reconstruction by showing examples of its use for optical diffusion tomography (ODT) [28] .  ... 
doi:10.1109/tip.2009.2023724 pmid:19556196 fatcat:oblllbiwebctdgty65pk3fp5yq

Methods in diffuse optical imaging

S. R. Arridge
2011 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
We describe some modelling and reconstruction methods for optical imaging in the macroscopic and mesoscopic regimes.  ...  Some linear and nonlinear problems in diffuse optical imaging are outlined, together with some indications of current trends and future directions.  ...  Tarvainen for providing several of the illustrations. Funding was provided by EPSRC grant EP/E034950/1.  ... 
doi:10.1098/rsta.2011.0311 pmid:22006906 fatcat:onvfgtoa6vdw7oxb34dlhw7dui

Considering sources and detectors distributions for quantitative photoacoustic tomography

Ningning Song, Carole Deumié, Anabela Da Silva
2014 Biomedical Optics Express  
The influence of the distribution of optical sources and transducers on the reconstruction of the absorption and diffusion coefficients maps is studied.  ...  Multiple optical illumination approach has proven to achieve uncoupling of diffusion and absorption effects.  ...  Acknowledgments We gratefully acknowledge China Scholarship Council scholarships for graduate student Ningning Song. This work was partly supported by ANR (AVENTURES-ANR-12-BLAN-BS01-0001-04).  ... 
doi:10.1364/boe.5.003960 pmid:25426322 pmcid:PMC4242030 fatcat:kchhemjazzgz3ksqytj5x3v77a

Compressed sensing in fluorescence microscopy

Gianmaria Calisesi, Alberto Ghezzi, Daniele Ancora, Cosimo D'Andrea, Gianluca Valentini, Andrea Farina, Andrea Bassi
2021 Progress in Biophysics and Molecular Biology  
Compressed sensing (CS) is a signal processing approach that solves ill-posed inverse problems, from under-sampled data with respect to the Nyquist criterium.  ...  It is commonly used in image and video compression as well as in scientific and medical applications, including computed tomography and magnetic resonance imaging.  ...  Measurement scheme in Fluorescence Diffuse Optical Tomography.  ... 
doi:10.1016/j.pbiomolbio.2021.06.004 pmid:34153330 fatcat:25tdxqc5vvgazebdflrwmscpc4

Front Matter: Volume 10573

Guang-Hong Chen, Joseph Y. Lo, Taly Gilat Schmidt
2018 Medical Imaging 2018: Physics of Medical Imaging  
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library.  ...  Sensitivity of diffuse correlation spectroscopy to flow rates: a study with tissue simulating optical phantoms [10573-91] 10573 2L Assessment of image quality parameters of a novel micro-CT system  ... 
doi:10.1117/12.2323748 fatcat:mn5csad2mjezljnvzxem3rhk5i

Image Resolution Enhancement of Highly Compressively Sensed CT/PET Signals

Krzysztof Malczewski
2020 Algorithms  
The presented algorithm employs super-resolution-reconstruction with high accuracy motion fields' estimation at its core for Computed Tomography/Positron Emission Tomography (CT/PET) images enhancement  ...  The purpose of this paper is to propose a highly effective CT/PET image reconstruction strategy, allowing for simultaneous resolution enhancing and scanning time minimisation.  ...  I do not hold and I am not currently applying for any patents relating to the content of the manuscript. I do not have any other financial competing interests.  ... 
doi:10.3390/a13050129 fatcat:b2egb4selvfkhmdndbouowjbjm

Sparse reconstruction for quantitative bioluminescence tomography based on the incomplete variables truncated conjugate gradient method

Xiaowei He, Jimin Liang, Xiaorui Wang, Jingjing Yu, Xiaochao Qu, Xiaodong Wang, Yanbin Hou, Duofang Chen, Fang Liu, Jie Tian
2010 Optics Express  
In this paper, we present an incomplete variables truncated conjugate gradient (IVTCG) method for bioluminescence tomography (BLT).  ...  By limiting the number of variables updated at each iterative and combining a variable splitting strategy to find the search direction more efficiently, it obtains fast and stable source reconstruction  ...  of compressive sensing tasks.  ... 
doi:10.1364/oe.18.024825 pmid:21164828 fatcat:wmy3ihxpenbc3gfm4qqfeyb3l4

100,000 frames-per-second compressive imaging with a conventional rolling-shutter camera by random point-spread-function engineering [article]

Gil Weinberg, Ori Katz
2020 arXiv   pre-print
A short video is reconstructed from a single camera frame via a compressed-sensing reconstruction algorithm, exploiting inherent sparsity of the imaged scene.  ...  Our approach is directly applied to a conventional imaging system by the simple addition of a diffuser to the pupil plane, randomly encoding the entire field-of-view to each camera row, while maintaining  ...  (e) a compressed-sensing algorithm reconstructs the video (f) from the single captured camera frame.  ... 
arXiv:2004.09614v1 fatcat:nsxwwuppinfxjg3mrscof7baxe

Automated data selection method to improve robustness of diffuse optical tomography for breast cancer imaging

Hamed Vavadi, Quing Zhu
2016 Biomedical Optics Express  
An automated method of outlier removal, data selection, and filtering for diffuse optical tomography is introduced in this manuscript.  ...  Imaging-guided near infrared diffuse optical tomography (DOT) has demonstrated a great potential as an adjunct modality for differentiation of malignant and benign breast lesions and for monitoring treatment  ...  Diffuse optical tomography (DOT) is a noninvasive functional imaging modality that utilizes near-infrared (NIR) light to probe tissue optical properties.  ... 
doi:10.1364/boe.7.004007 pmid:27867711 pmcid:PMC5102542 fatcat:6tsa5dats5dq3glrs3vwit34ie
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