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 small structures as well as tissue boundaries with compelling accuracy. However, to date, the CSI-EPT has been implemented for 2-D configurations only, which limits its applicability. In this paper, a full 3-D extension of the CSI-EPT method is presented, to enable CSI-EPT to be applied to realistic 3-D scenarios. Here, we demonstrate a proof-of-principle of 3-D CSI-EPT and present the reconstructions of a 3-D abdominal body section and a 3-D head model using different settings of the transmit coil. Numerical results show that the full 3-D approach yields accurate reconstructions of the EPs, even at tissue boundaries and is most accurate in regions where the absolute value of the electric field is highest.

journal_name

IEEE Trans Med Imaging

authors

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

doi

10.1109/TMI.2018.2816125

subject

Has Abstract

pub_date

2018-09-01 00:00:00

pages

2080-2089

issue

9

eissn

0278-0062

issn

1558-254X

journal_volume

37

pub_type

杂志文章
  • Neuron Segmentation With High-Level Biological Priors.

    abstract::We present a novel approach to the problem of neuron segmentation in image volumes acquired by an electron microscopy. Existing methods, such as agglomerative or correlation clustering, rely solely on boundary evidence and have problems where such an evidence is lacking (e.g., incomplete staining) or ambiguous (e.g., ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2017.2712360

    authors: Krasowski NE,Beier T,Knott GW,Kothe U,Hamprecht FA,Kreshuk A

    更新日期:2018-04-01 00:00:00

  • Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features.

    abstract::We present a novel method to segment instances of glandular structures from colon histopathology images. We use a structure learning approach which represents local spatial configurations of class labels, capturing structural information normally ignored by sliding-window methods. This allows us to reveal different sp...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2017.2750210

    authors: Manivannan S,Li W,Zhang J,Trucco E,McKenna SJ

    更新日期:2018-01-01 00:00:00

  • Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis.

    abstract::Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for second-trimester anomaly screening, for which ultrasound (US) is employed. Although expert sonographers are adept at reading US images, MR images which closely resemble anatomical images are much easier...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3018560

    authors: Jiao J,Namburete AIL,Papageorghiou AT,Noble JA

    更新日期:2020-12-01 00:00:00

  • ERS transform for the automated detection of bronchial abnormalities on CT of the lungs.

    abstract::The identification of bronchi on Computed Tomography (CT) images of the lungs provides valuable clinical information in patients with suspected airways diseases including bronchiectasis, emphysema, or constrictive obliterative bronchiolitis. The automated recognition of the airways is, therefore, an important part of ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.952731

    authors: Chabat F,Hu XP,Hansell DM,Yang GZ

    更新日期:2001-09-01 00:00:00

  • PORTR: Pre-operative and post-recurrence brain tumor registration.

    abstract::We propose a new method for deformable registration of pre-operative and post-recurrence brain MR scans of glioma patients. Performing this type of intra-subject registration is challenging as tumor, resection, recurrence, and edema cause large deformations, missing correspondences, and inconsistent intensity profiles...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2013.2293478

    authors: Kwon D,Niethammer M,Akbari H,Bilello M,Davatzikos C,Pohl KM

    更新日期:2014-03-01 00:00:00

  • Implementation, investigation, and improvement of a novel cone-beam reconstruction method [SPECT].

    abstract::A three-dimensional reconstruction method which uses cone-beam data was implemented. Issues concerning implementation are investigated and discussed in detail. Computer simulations were used to determine the amount of image degradation occurring in each of the three steps that comprise the reconstruction method. In ad...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.141650

    authors: Smith BD,Chen J

    更新日期:1992-01-01 00:00:00

  • Accelerating parallel transmit array B1 mapping in high field MRI with slice undersampling and interpolation by kriging.

    abstract::Transmit arrays have been developed to mitigate the RF field inhomogeneity commonly observed in high field magnetic resonance imaging (MRI), typically above 3T. To this end, the knowledge of the RF complex-valued B1 transmit-sensitivities of each independent radiating element has become essential. This paper details a...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2322440

    authors: Ferrand G,Luong M,Cloos MA,Amadon A,Wackernagel H

    更新日期:2014-08-01 00:00:00

  • Revealing the Microscopic Structure of Human Renal Cell Carcinoma in Three Dimensions.

    abstract::For fully characterizing renal cell carcinoma (RCC), information about the 3D tissue microstructure is essential. Histopathology, which represents the current diagnostic gold standard, is destructive and only provides 2D information. 3D X-ray histology endeavors to overcome these limitations by generating 3D data. In ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2952028

    authors: Ferstl S,Busse M,Muller M,Kimm MA,Drecoll E,Burkner T,Allner S,Dierolf M,Pfeiffer D,Rummeny EJ,Weichert W,Pfeiffer F

    更新日期:2020-05-01 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

  • Sensitivity of photon-counting based K-edge imaging in X-ray computed tomography.

    abstract::The feasibility of K-edge imaging using energy-resolved, photon-counting transmission measurements in X-ray computed tomography (CT) has been demonstrated by simulations and experiments. The method is based on probing the discontinuities of the attenuation coefficient of heavy elements above and below the K-edge energ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2011.2142188

    authors: Roessl E,Brendel B,Engel KJ,Schlomka JP,Thran A,Proksa R

    更新日期:2011-09-01 00:00:00

  • Interactions Between Large-Scale Functional Brain Networks are Captured by Sparse Coupled HMMs.

    abstract::Functional magnetic resonance imaging (fMRI) provides a window on the human brain at work. Spontaneous brain activity measured during resting-state has already provided many insights into brain function. In particular, recent interest in dynamic interactions between brain regions has increased the need for more advanc...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2017.2755369

    authors: Bolton TAW,Tarun A,Sterpenich V,Schwartz S,Van De Ville D

    更新日期:2018-01-01 00:00:00

  • The GEM MAP algorithm with 3-D SPECT system response.

    abstract::In single photon emission computed tomography (SPECT), every reconstruction algorithm must use some model for the response of the gamma camera to emitted gamma-rays. The true camera response is both spatially variant and object dependent. These two properties result from the effects of scatter, septal penetration, and...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.126914

    authors: Hebert TJ,Gopal SS

    更新日期:1992-01-01 00:00:00

  • Characteristic quantities of microvascular structures in CLSM volume datasets.

    abstract::A method for fully automated morphological and topological quantification of microvascular structures in confocal laser scanning microscopy (CLSM) volume datasets is presented. Several characteristic morphological and topological quantities are calculated in a series of image-processing steps and can be used to compar...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2007.900379

    authors: Winter K,Metz LH,Kuska JP,Frerich B

    更新日期:2007-08-01 00:00:00

  • Choice of initial conditions in the ML reconstruction of fan-beam transmission with truncated projection data.

    abstract::We investigate the effects of initial conditions in the iterative maximum-likelihood (ML) reconstruction of fan-beam transmission projection data with truncation. In an iterative ML reconstruction, the estimate of the transmission reconstructed image in the previous iteration is multiplied by some factors to obtain th...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.611352

    authors: Pan TS,Tsui BM,Byrne CL

    更新日期:1997-08-01 00:00:00

  • Regularization designs for uniform spatial resolution and noise properties in statistical image reconstruction for 3-D X-ray CT.

    abstract::Statistical image reconstruction methods for X-ray computed tomography (CT) provide improved spatial resolution and noise properties over conventional filtered back-projection (FBP) reconstruction, along with other potential advantages such as reduced patient dose and artifacts. Conventional regularized image reconstr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2365179

    authors: Cho JH,Fessler JA

    更新日期:2015-02-01 00:00:00

  • Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease.

    abstract::We present a dynamic atlas composed of neuromelanin-enhanced magnetic resonance brain images of 40 healthy subjects. The performance of this atlas is evaluated on the fully automated segmentation of two paired neuromelanin-rich brainstem healthy structures: the substantia nigra pars compacta and the locus coeruleus. W...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2872852

    authors: Ariz M,Abad RC,Castellanos G,Martinez M,Munoz-Barrutia A,Fernandez-Seara MA,Pastor P,Pastor MA,Ortiz-de-Solorzano C

    更新日期:2019-03-01 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

  • An efficient optimization framework for multi-region segmentation based on Lagrangian duality.

    abstract::We introduce a multi-region model for simultaneous segmentation of medical images. In contrast to many other models, geometric constraints such as inclusion and exclusion between the regions are enforced, which makes it possible to correctly segment different regions even if the intensity distributions are identical. ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2012.2218117

    authors: Ulén J,Strandmark P,Kahl F

    更新日期:2013-02-01 00:00:00

  • Computation of the mid-sagittal plane in 3-D brain images.

    abstract::We present a new method to automatically compute, reorient, and recenter the mid-sagittal plane in anatomical and functional three-dimensional (3-D) brain images. This iterative approach is composed of two steps. At first, given an initial guess of the mid-sagittal plane (generally, the central plane of the image grid...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.993131

    authors: Prima S,Ourselin S,Ayache N

    更新日期:2002-02-01 00:00:00

  • Sufficient statistics as a generalization of binning in spectral X-ray imaging.

    abstract::It is well known that the energy dependence of X-ray attenuation can be used to characterize materials. Yet, even with energy discriminating photon counting X-ray detectors, it is still unclear how to best form energy dependent measurements for spectral imaging. Common ideas include binning photon counts based on thei...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2010.2061862

    authors: Wang AS,Pelc NJ

    更新日期:2011-01-01 00:00:00

  • Measures of acutance and shape for classification of breast tumors.

    abstract::Most benign breast tumors possess well-defined, sharp boundaries that delineate them from surrounding tissues, as opposed to malignant tumors. Computer techniques proposed to date for tumor analysis have concentrated on shape factors of tumor regions and texture measures. While shape measures based on contours of tumo...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.650876

    authors: Rangayyan RM,El-Faramawy NM,Desautels JE,Alim OA

    更新日期:1997-12-01 00:00:00

  • Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images.

    abstract::Cervical cancer causes the fourth most cancer-related deaths of women worldwide. Early detection of cervical intraepithelial neoplasia (CIN) can significantly increase the survival rate of patients. In this paper, we propose a deep learning framework for the accurate identification of LSIL+ (including CIN and cervical...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.2994778

    authors: Li Y,Chen J,Xue P,Tang C,Chang J,Chu C,Ma K,Li Q,Zheng Y,Qiao Y

    更新日期:2020-11-01 00:00:00

  • Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation.

    abstract::We propose a new spatio-temporal elastic registration algorithm for motion reconstruction from a series of images. The specific application is to estimate displacement fields from two-dimensional ultrasound sequences of the heart. The basic idea is to find a spatio-temporal deformation field that effectively compensat...

    journal_title:IEEE transactions on medical imaging

    pub_type: 临床试验,杂志文章

    doi:10.1109/TMI.2005.852050

    authors: Ledesma-Carbayo MJ,Kybic J,Desco M,Santos A,Sühling M,Hunziker P,Unser M

    更新日期:2005-09-01 00:00:00

  • MRI pulse sequence design with first-order gradient moment nulling in arbitrary directions by solving a polynomial program.

    abstract::We suggest a polynomial program for the calculation of optimized gradient waveforms for magnetic resonance tomography pulse sequences. Such non-linear mathematical programs can describe gradient system capabilities, meet k-space trajectory specifications, and capture sequence timing conditions. Moreover they allow the...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2010.2042723

    authors: Majewski K,Heid O,Kluge T

    更新日期:2010-06-01 00:00:00

  • Segmentation of prostate boundaries from ultrasound images using statistical shape model.

    abstract::This paper presents a statistical shape model for the automatic prostate segmentation in transrectal ultrasound images. A Gabor filter bank is first used to characterize the prostate boundaries in ultrasound images in both multiple scales and multiple orientations. The Gabor features are further reconstructed to be in...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2003.809057

    authors: Shen D,Zhan Y,Davatzikos C

    更新日期:2003-04-01 00:00:00

  • Automatic Segmentation of Wrist Bones in CT Using a Statistical Wrist Shape + Pose Model.

    abstract::Segmentation of the wrist bones in CT images has been frequently used in different clinical applications including arthritis evaluation, bone age assessment and image-guided interventions. The major challenges include non-uniformity and spongy textures of the bone tissue as well as narrow inter-bone spaces. In this wo...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2016.2529500

    authors: Anas EM,Rasoulian A,Seitel A,Darras K,Wilson D,John PS,Pichora D,Mousavi P,Rohling R,Abolmaesumi P

    更新日期:2016-08-01 00:00:00

  • Burn depth analysis using multidimensional scaling applied to psychophysical experiment data.

    abstract::In this paper a psychophysical experiment and a multidimensional scaling (MDS) analysis are undergone to determine the physical characteristics that physicians employ to diagnose a burn depth. Subsequently, these characteristics are translated into mathematical features, correlated with these physical characteristics ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2013.2254719

    authors: Acha B,Serrano C,Fondón I,Gómez-Cía T

    更新日期:2013-06-01 00:00:00

  • Sparse patch-based label propagation for accurate prostate localization in CT images.

    abstract::In this paper, we propose a new prostate computed tomography (CT) segmentation method for image guided radiation therapy. The main contributions of our method lie in the following aspects. 1) Instead of using voxel intensity information alone, patch-based representation in the discriminative feature space with logisti...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2012.2230018

    authors: Liao S,Gao Y,Lian J,Shen D

    更新日期:2013-02-01 00:00:00

  • Simultaneous Quantitative Imaging of Electrical Properties and Proton Density From B1 Maps Using MRI.

    abstract::Electrical conductivity and permittivity of biological tissues are important diagnostic parameters and are useful for calculating subject-specific specific absorption rate distribution. On the other hand, water proton density also has clinical relevance for diagnosis purposes. These two kinds of tissue properties are ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2016.2547988

    authors: Jiaen Liu,Van de Moortele PF,Xiaotong Zhang,Yicun Wang,Bin He

    更新日期:2016-09-01 00:00:00

  • A high resolution PET for animal studies.

    abstract::In the PET system a block detector, which is a position-sensitive photomultiplier (PMT) tube coupled to four arrays of 1.7-mm-wide BGO crystals, is utilized. Fifteen block detectors are positioned to form a 35-cm-diameter ring, with four BGO arrays coupled to each PMT. This provides four detector rings, giving the sys...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.192694

    authors: Watanabe M,Uchida H,Okada H,Shimizu K,Satoh N,Yoshikawa E,Ohmura T,Yamashita T,Tanaka E

    更新日期:1992-01-01 00:00:00