Electrical impedance tomography using induced currents.

Abstract:

:The mathematical basis of a new imaging modality, induced current electrical impedance tomography (EIT), is investigated, The ultimate aim of this technique is the reconstruction of conductivity distribution of the human body, from voltage measurements made between electrodes placed on the surface, when currents are induced inside the body by applied time varying magnetic fields. In this study the two-dimensional problem is analyzed. A specific 9-coil system for generating nine different exciting magnetic fields (50 kHz) and 16 measurement electrodes around the object are assumed, The partial differential equation for the scaler potential function in the conductive medium is derived and finite element method (FEM) is used for its solution. Sensitivity matrix, which relates the perturbation in measurements to the conductivity perturbations, is calculated. Singular value decomposition of the sensitivity matrix shows that there are 135 independent measurements. It is found that measurements are less sensitive to changes in conductivity of the object's interior. While in this respect induced current EIT is slightly inferior to the technique of injected current EIT (using Sheffield protocol), its sensitivity matrix is better conditioned. The images obtained are found to be comparable to injected current EIT images In resolution. Design of a coil system for which parameters such as sensitivity to inner regions and condition number of the sensitivity matrix are optimum, remains to be made.

journal_name

IEEE Trans Med Imaging

authors

Gencer NG,Kuzuoglu M,Ider YZ

doi

10.1109/42.293927

subject

Has Abstract

pub_date

1994-01-01 00:00:00

pages

338-50

issue

2

eissn

0278-0062

issn

1558-254X

journal_volume

13

pub_type

杂志文章
  • Augmented Likelihood Image Reconstruction.

    abstract::The presence of high-density objects remains an open problem in medical CT imaging. Data of projections passing through objects of high density, such as metal implants, are dominated by noise and are highly affected by beam hardening and scatter. Reconstructed images become less diagnostically conclusive because of pr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2015.2459764

    authors: Stille M,Kleine M,Hägele J,Barkhausen J,Buzug TM

    更新日期:2016-01-01 00:00:00

  • Direct Parametric Reconstruction Using Anatomical Regularization for Simultaneous PET/MRI Data.

    abstract::Pharmacokinetic analysis of dynamic positron emission tomography (PET) imaging data maps the measured time activity curves to a set of model-specific pharmacokinetic parameters. Voxel-based parameter estimation via curve fitting is conventionally performed indirectly on a sequence of independently reconstructed PET im...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2015.2427777

    authors: Loeb R,Navab N,Ziegler SI

    更新日期:2015-11-01 00:00:00

  • 3-D Contrast Source Inversion-Electrical Properties Tomography.

    abstract::Contrast source inversion-electrical properties tomography (CSI-EPT) is an iterative reconstruction method to retrieve the electrical properties (EPs) of tissues from magnetic resonance data. The method is based on integral representations of the electromagnetic field and has been shown to allow EP reconstructions of ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2816125

    authors: Leijsen RL,Brink WM,van den Berg CAT,Webb AG,Remis RF

    更新日期:2018-09-01 00:00:00

  • Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.

    abstract::The automatic diagnosis of various retinal diseases from fundus images is important to support clinical decision-making. However, developing such automatic solutions is challenging due to the requirement of a large amount of human-annotated data. Recently, unsupervised/self-supervised feature learning techniques recei...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3008871

    authors: Li X,Jia M,Islam MT,Yu L,Xing L

    更新日期:2020-12-01 00:00:00

  • Self-stabilizing colonic capsule endoscopy: pilot study of acute canine models.

    abstract::Video capsule endoscopy (VCE) is a noninvasive method for examining the gastrointestinal tract which has been successful in small intestine studies. Recently, VCE has been attempted in the colon. However, the capsule often tumbles in the wider colonic lumen, resulting in missed regions. Self-stabilizing VCE is a novel...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2011.2163165

    authors: Filip D,Yadid-Pecht O,Andrews CN,Mintchev MP

    更新日期:2011-12-01 00:00:00

  • A probabilistic model-based approach to consistent white matter tract segmentation.

    abstract::Since the invention of diffusion magnetic resonance imaging (dMRI), currently the only established method for studying white matter connectivity in a clinical environment, there has been a great deal of interest in the effects of various pathologies on the connectivity of the brain. As methods for in vivo tractography...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2007.905826

    authors: Clayden JD,Storkey AJ,Bastin ME

    更新日期:2007-11-01 00:00:00

  • A penalized-likelihood image reconstruction method for emission tomography, compared to postsmoothed maximum-likelihood with matched spatial resolution.

    abstract::Regularization is desirable for image reconstruction in emission tomography. A powerful regularization method is the penalized-likelihood (PL) reconstruction algorithm (or equivalently, maximum a posteriori reconstruction), where the sum of the likelihood and a noise suppressing penalty term (or Bayesian prior) is opt...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2003.816960

    authors: Nuyts J,Fessler JA

    更新日期:2003-09-01 00:00:00

  • Shortest path refinement for motion estimation from tagged MR images.

    abstract::Magnetic resonance tagging makes it possible to measure the motion of tissues such as muscles in the heart and tongue. The harmonic phase (HARP) method largely automates the process of tracking points within tagged MR images, permitting many motion properties to be computed. However, HARP tracking can yield erroneous ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2010.2045509

    authors: Liu X,Prince JL

    更新日期:2010-08-01 00:00:00

  • PET image reconstruction using information theoretic anatomical priors.

    abstract::We describe a nonparametric framework for incorporating information from co-registered anatomical images into positron emission tomographic (PET) image reconstruction through priors based on information theoretic similarity measures. We compare and evaluate the use of mutual information (MI) and joint entropy (JE) bet...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2010.2076827

    authors: Somayajula S,Panagiotou C,Rangarajan A,Li Q,Arridge SR,Leahy RM

    更新日期:2011-03-01 00:00:00

  • Quantification of Wave Reflection in the Human Umbilical Artery From Asynchronous Doppler Ultrasound Measurements.

    abstract::Elevated umbilical artery pulsatility is a widely used biomarker for placental pathology leading to intra-uterine growth restriction and, in severe cases, still-birth. It has been hypothesized that placental pathology modifies umbilical artery pulsatility by altering the degree to which the pulse pressure wave, which ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3004511

    authors: Stortz G,Cahill LS,Chandran AR,Baschat A,Sled JG,Macgowan CK

    更新日期:2020-11-01 00:00:00

  • In vivo impedance imaging with total variation regularization.

    abstract::We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the total variation (TV) functional are suitable for in vivo imaging of physiological data. This reconstruction approach helps to preserve discontinuities in reconstructed profiles, such as step changes in e...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2009.2022540

    authors: Borsic A,Graham BM,Adler A,Lionheart WR

    更新日期:2010-01-01 00:00:00

  • Robust parameter estimation of intensity distributions for brain magnetic resonance images.

    abstract::This paper presents two new methods for robust parameter estimation of mixtures in the context of magnetic resonance (MR) data segmentation. The head is constituted of different types of tissue that can be modeled by a finite mixture of multivariate Gaussian distributions. Our goal is to estimate accurately the statis...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.700730

    authors: Schroeter P,Vesin JM,Langenberger T,Meuli R

    更新日期:1998-04-01 00:00:00

  • Fast local trust region technique for diffusion tensor registration using exact reorientation and regularization.

    abstract::Diffusion tensor imaging is widely used in brain connectivity research. As more and more studies recruit large numbers of subjects, it is important to design registration methods which are not only theoretically rigorous, but also computationally efficient. However, the requirement of reorienting diffusion tensors com...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2013.2274051

    authors: Li J,Shi Y,Tran G,Dinov I,Wang DJ,Toga A

    更新日期:2014-05-01 00:00:00

  • A robust ultrashort TE (UTE) imaging method with corrected k-space trajectory by using parametric multiple function model of gradient waveform.

    abstract::Ultra-short TE (UTE) sequences with radial sampling make it possible to visualize tissues with very short T2 decay times. The UTE sequence acquires an echo signal from the central to the outer parts of k-space and is very sensitive to small trajectory errors. Therefore, k-space errors caused by imperfections in the gr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2012.2226050

    authors: Takizawa M,Hanada H,Oka K,Takahashi T,Yamamoto E,Fujii M

    更新日期:2013-02-01 00:00:00

  • Shielded microstrip array for 7T human MR imaging.

    abstract::The high-frequency transceiver array based on the microstrip transmission line design is a promising technique for ultrahigh field magnetic resonance imaging (MRI) signal excitation and reception. However, with the increase of radio-frequency (RF) channels, the size of the ground plane in each microstrip coil element ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2009.2033597

    authors: Wu B,Wang C,Kelley DA,Xu D,Vigneron DB,Nelson SJ,Zhang X

    更新日期:2010-01-01 00:00:00

  • A "twisting and bending" model-based nonrigid image registration technique for 3-D ultrasound carotid images.

    abstract::Atherosclerosis at the carotid bifurcation resulting in cerebral emboli is a major cause of ischemic stroke. Most strokes associated with carotid atherosclerosis can be prevented by lifestyle/dietary changes and pharmacological treatments if identified early by monitoring carotid plaque changes. Registration of 3-D ul...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2008.918326

    authors: Nanayakkara ND,Chiu B,Samani A,Spence JD,Samarabandu J,Fenster A

    更新日期:2008-10-01 00:00:00

  • Probabilistic sparse matching for robust 3D/3D fusion in minimally invasive surgery.

    abstract::Classical surgery is being overtaken by minimally invasive and transcatheter procedures. As there is no direct view or access to the affected anatomy, advanced imaging techniques such as 3D C-arm computed tomography (CT) and C-arm fluoroscopy are routinely used in clinical practice for intraoperative guidance. However...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2343936

    authors: Neumann D,Grbic S,John M,Navab N,Hornegger J,Ionasec R

    更新日期:2015-01-01 00:00:00

  • Detecting film-screen artifacts in mammography using a model-based approach.

    abstract::Microcalcifications can be one of the earliest signs of breast cancer. Unfortunately, their appearance in mammograms can be mimicked by dust and dirt entering the imaging process and this has been shown previously to lead to false positives. We use a model of the imaging process and, in particular, the blurring functi...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.811313

    authors: Highnam R,Brady M,English R

    更新日期:1999-10-01 00:00:00

  • Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images.

    abstract::A fully automated approach to segmentation of the left and right cardiac ventricles from magnetic resonance (MR) images is reported. A novel multistage hybrid appearance model methodology is presented in which a hybrid active shape model/active appearance model (AAM) stage helps avoid local minima of the matching func...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.925294

    authors: Mitchell SC,Lelieveldt BP,van der Geest RJ,Bosch HG,Reiber JH,Sonka M

    更新日期:2001-05-01 00:00:00

  • Quantifying the statistical impact of GRAPPA in fcMRI data with a real-valued isomorphism.

    abstract::The interpolation of missing spatial frequencies through the generalized auto-calibrating partially parallel acquisitions (GRAPPA) parallel magnetic resonance imaging (MRI) model implies a correlation is induced between the acquired and reconstructed frequency measurements. As the parallel image reconstruction algorit...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2013.2288521

    authors: Bruce IP,Rowe DB

    更新日期:2014-02-01 00:00:00

  • A Tensor B-Spline Approach for Solving the Diffusion PDE With Application to Optical Diffusion Tomography.

    abstract::Optical Diffusion Tomography (ODT) is a modern non-invasive medical imaging modality which requires mathematical modelling of near-infrared light propagation in tissue. Solving the ODT forward problem equation accurately and efficiently is crucial. Typically, the forward problem is represented by a Diffusion PDE and i...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2016.2641500

    authors: Shulga D,Morozov O,Hunziker P

    更新日期:2017-04-01 00:00:00

  • On Bayesian image reconstruction from projections: uniform and nonuniform a priori source information.

    abstract::A method that incorporates a priori uniform or nonuniform source distribution probabilistic information and data fluctuations of a Poisson nature is presented. The source distributions are modeled in terms of a priori source probability density functions. Maximum a posteriori probability solutions, as determined by a ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.34711

    authors: Liang Z,Jaszczak R,Greer K

    更新日期:1989-01-01 00:00:00

  • Automatic recovery of the optic nervehead geometry in optical coherence tomography.

    abstract::Optical coherence tomography (OCT) uses retroreflected light to provide micrometer-resolution, cross-sectional scans of biological tissues. OCT's first application was in ophthalmic imaging where it has proven particularly useful in diagnosing, monitoring, and studying glaucoma. Diagnosing glaucoma is difficult and it...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2006.871417

    authors: Boyer KL,Herzog A,Roberts C

    更新日期:2006-05-01 00:00:00

  • Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics.

    abstract::Positron emission tomography (PET) is a useful tool for pharmacokinetics studies in rodents during the preclinical phase of drug and tracer development. However, rodent organs are small as compared to the scanner's intrinsic resolution and are affected by physiological movements. We present a new method for the segmen...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2007.905106

    authors: Maroy R,Boisgard R,Comtat C,Frouin V,Cathier P,Duchesnay E,Dollé F,Nielsen PE,Trébossen R,Tavitian B

    更新日期:2008-03-01 00:00:00

  • Accurate event-driven motion compensation in high-resolution PET incorporating scattered and random events.

    abstract::With continuing improvements in spatial resolution of positron emission tomography (PET) scanners, small patient movements during PET imaging become a significant source of resolution degradation. This work develops and investigates a comprehensive formalism for accurate motion-compensated reconstruction which at the ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2008.917248

    authors: Rahmim A,Dinelle K,Cheng JC,Shilov MA,Segars WP,Lidstone SC,Blinder S,Rousset OG,Vajihollahi H,Tsui BM,Wong DF,Sossi V

    更新日期:2008-08-01 00:00:00

  • Time-frequency MEG-MUSIC algorithm.

    abstract::We propose a method that incorporates the time-frequency characteristics of neural sources into magnetoencephalographic (MEG) source estimation. The method is based on the multiple-signal-classification (MUSIC) algorithm and it calculates a time--frequency matrix in which diagonal and off-diagonal terms are the auto a...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.750262

    authors: Sekihara K,Nagarajan S,Poeppel D,Miyashita Y

    更新日期:1999-01-01 00:00:00

  • Spherical harmonics microwave algorithm for shape and location reconstruction of breast cancer tumor.

    abstract::A reconstruction algorithm to simultaneously estimate the shape and location of three-dimensional breast cancer tumor is presented and its utility is analyzed. The approach is based on a spherical harmonic decomposition to capture the shape of the tumor. We combine a gradient descent optimization method with a direct ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/tmi.2006.881377

    authors: El-Shenawee M,Miller EL

    更新日期:2006-10-01 00:00:00

  • Prospective Respiration Detection in Magnetic Resonance Imaging by a Non-Interfering Noise Navigator.

    abstract::Passive monitoring of the thermal noise variances of the channels of a receive array was shown to reveal respiratory motion of the underlying anatomy, a so called "noise navigator". There is, however, an inevitable trade off between the accuracy and temporal resolution of the noise navigator due to its passive nature....

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2808699

    authors: Navest RJM,Andreychenko A,Lagendijk JJW,van den Berg CAT

    更新日期:2018-08-01 00:00:00

  • Robust Energy Calibration Technique for Photon Counting Spectral Detectors.

    abstract::This paper describes the implementation of a novel and robust threshold energy calibration method for photon counting detectors using polychromatic X-ray tubes. Methods often used for such energy calibration may require re-orientation of the detector or introduce calibration errors that are flux and acquisition time-d...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2875932

    authors: Vespucci S,Park CS,Torrico R,Das M

    更新日期:2019-04-01 00:00:00

  • Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs.

    abstract::Most existing CNNs-based segmentation methods rely on local appearances learned on the regular image grid, without consideration of the object global information. This article aims to embed the object global geometric information into a learning framework via the classical geodesic active contours (GAC). We propose a ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3022693

    authors: Ma J,He J,Yang X

    更新日期:2021-01-01 00:00:00