当前位置： SCI文献检索 > IEEE TRANSACTIONS ON MEDICAL IMAGING期刊下所有文献 > Constrained Fourier space method for compensation of missing data in emission computed tomography.

Constrained Fourier space method for compensation of missing data in emission computed tomography.

Abstract：

:A method is introduced to compensate for missing projection data that can result from gas between detectors or from malfunctioning detectors. This method uses constraints in the Fourier domain to estimate the missing data, thus completing the data set so that the filtered backprojection algorithm can be used to reconstruct artifact-free images. The image reconstructed from estimates using this technique and a data set with gaps is nearly indistinguishable from an image reconstructed from a complete data set without gaps, using a simulated brain phantom.

journal_name

IEEE Trans Med Imaging

journal_title

IEEE transactions on medical imaging

authors

Karp JS,Muehllehner G,Lewitt RM

doi

10.1109/42.3925

subject

Has Abstract

pub_date

1988-01-01 00:00:00

pages

21-5

issue

1

eissn

0278-0062

issn

1558-254X

journal_volume

7

pub_type

杂志文章

相关文献

IEEE TRANSACTIONS ON MEDICAL IMAGING文献大全
  • Measurement of mean and variance of velocity fields within each voxel by NMR imaging.

    abstract：:If a flow field exists within an object that is being imaged, there could be a velocity spectrum in each voxel due to the finite voxel size. Consequently, the mean value and the variance of velocity in each voxel can be defined and used to describe the velocity spectrum. An NMR (nuclear magnetic resonance) imaging tec...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.14520

    authors： Xiang QS,Nalcioglu O

    更新日期：1988-01-01 00:00:00

  • Separation of Metabolites and Macromolecules for Short-TE 1H-MRSI Using Learned Component-Specific Representations.

    abstract：:Short-echo-time (TE) proton magnetic resonance spectroscopic imaging (MRSI) allows for simultaneously mapping a number of molecules in the brain, and has been recognized as an important tool for studying in vivo biochemistry in various neuroscience and disease applications. However, separation of the metabolite and ma...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2020.3048933

    authors： Li Y,Wang Z,Sun R,Lam F

    更新日期：2021-01-04 00:00:00

  • Fast catheter segmentation from echocardiographic sequences based on segmentation from corresponding X-ray fluoroscopy for cardiac catheterization interventions.

    abstract：:Echocardiography is a potential alternative to X-ray fluoroscopy in cardiac catheterization given its richness in soft tissue information and its lack of ionizing radiation. However, its small field of view and acoustic artifacts make direct automatic segmentation of the catheters very challenging. In this study, a fa...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2014.2360988

    authors： Wu X,Housden J,Ma Y,Razavi B,Rhode K,Rueckert D

    更新日期：2015-04-01 00:00:00

  • Classification of malignant and benign masses based on hybrid ART2LDA approach.

    abstract：:A new type of classifier combining an unsupervised and a supervised model was designed and applied to classification of malignant and benign masses on mammograms. The unsupervised model was based on an adaptive resonance theory (ART2) network which clustered the masses into a number of separate classes. The classes we...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.819327

    authors： Hadjiiski L,Sahiner B,Chan HP,Petrick N,Helvie M

    更新日期：1999-12-01 00:00:00

  • Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network.

    abstract：:Image reconstruction in low-count PET is particularly challenging because gammas from natural radioactivity in Lu-based crystals cause high random fractions that lower the measurement signal-to-noise-ratio (SNR). In model-based image reconstruction (MBIR), using more iterations of an unregularized method may increase ...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2020.2998480

    authors： Lim H,Chun IY,Dewaraja YK,Fessler JA

    更新日期：2020-11-01 00:00:00

  • Ultra fast symmetry and SIMD-based projection-backprojection (SSP) algorithm for 3-D PET image reconstruction.

    abstract：:Remarkable progress in positron emission tomography (PET) development has occurred in recent years, in hardware, software, and computer implementation of image reconstruction. Recent development in PET scanners such as the high-resolution research tomograph (HRRT) developed by CTI (now Siemens) represents such a case ...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/tmi.2007.892644

    authors： Hong IK,Chung ST,Kim HK,Kim YB,Son YD,Cho ZH

    更新日期：2007-06-01 00:00:00

  • Minimization of imaging gradient effects in diffusion tensor imaging.

    abstract：:A new, sample independent optimization criterion for minimizing the effect of the imaging gradients, including the directional awareness they create, is defined for diffusion tensor imaging (DTI) experiments. The DTI linear algebraic framework is expanded to a normed space to design optimal diffusion gradient schemes ...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2010.2090539

    authors： Özcan A

    更新日期：2011-03-01 00:00:00

  • Statistical distributions of DCT coefficients and their application to an interframe compression algorithm for 3-D medical images.

    abstract：:Displacement estimated interframe (DEI) coding, a coding scheme for 3-D medical image data sets such as X-ray computed tomography (CT) or magnetic resonance (MR) images, is presented. To take advantage of the correlation between contiguous slices, a displacement-compensated difference image based on the previous image...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.241875

    authors： Lee H,Kim Y,Rowberg AH,Riskin EA

    更新日期：1993-01-01 00:00:00

  • Metrics for Assessing the Similarity of Microwave Breast Imaging Scans of Healthy Volunteers.

    abstract：:Microwave radar imaging is promising as a complementary medical imaging modality. However, the unique nature of the images means interpretation can be difficult. As a result, it is important to understand the sources of image differences, and how much variability is inherent in the imaging system itself. To address th...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2018.2806878

    authors： Lavoie BR,Bourqui J,Fear EC,Okoniewski M

    更新日期：2018-08-01 00:00:00

  • Digital processing for improvement of ultrasonic abdominal images.

    abstract：:Digital processing that increases resolution by spatial deconvolution and histogram-based amplitude mapping has been used to improve ultrasonic abdominal image quality. The processing was applied to pulse-echo ultrasound data obtained from clinical imaging instrumentation modified to permit digital recording of signal...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.1983.4307617

    authors： Liu CN,Fatemi M,Waag RC

    更新日期：1983-01-01 00:00:00

  • A novel approach to extract colon lumen from CT images for virtual colonoscopy.

    abstract：:An automatic method has been developed for segmentation of abdominal computed tomography (CT) images for virtual colonoscopy obtained after a bowel preparation of a low-residue diet with ingested contrast solutions to enhance the image intensities of residual colonic materials. Removal of the enhanced materials was pe...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.897814

    authors： Chen D,Liang Z,Wax MR,Li L,Li B,Kaufman AE

    更新日期：2000-12-01 00:00:00

  • Bayesian approach for a robust speed-of-sound reconstruction using pulse-echo ultrasound.

    abstract：:Computed ultrasound tomography in echo mode (CUTE) is a promising ultrasound (US) based multi-modal technique that allows to image the spatial distribution of speed of sound (SoS) inside tissue using hand-held pulse-echo US. It is based on measuring the phase shift of echoes when detected under varying steering angles...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2020.3029286

    authors： Stahli PS,Frenz M,Jaeger M

    更新日期：2020-10-07 00:00:00

  • 4-D Reconstruction With Respiratory Correction for Gated Myocardial Perfusion SPECT.

    abstract：:Cardiac single photon emission computed tomography (SPECT) images are known to suffer from both cardiac and respiratory motion blur. In this paper, we investigate a 4-D reconstruction approach to suppress the effect of respiratory motion in gated cardiac SPECT imaging. In this approach, the sequence of cardiac gated i...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2017.2690819

    authors： Qi W,Yang Y,Song C,Wernick MN,Pretorius PH,King MA

    更新日期：2017-08-01 00:00:00

  • Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curves.

    abstract：:It is well understood that binary classifiers have two implicit objective functions (sensitivity and specificity) describing their performance. Traditional methods of classifier training attempt to combine these two objective functions (or two analogous class performance measures) into one so that conventional scalar ...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.796281

    authors： Kupinski MA,Anastasio MA

    更新日期：1999-08-01 00:00:00

  • Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images.

    abstract：:Small pulmonary nodules are a common radiographic finding that presents an important diagnostic challenge in contemporary medicine. While pulmonary nodules are the major radiographic indicator of lung cancer, they may also be signs of a variety of benign conditions. Measurement of nodule growth rate over time has been...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2003.817785

    authors： Kostis WJ,Reeves AP,Yankelevitz DF,Henschke CI

    更新日期：2003-10-01 00:00:00

  • SNORE: spike noise removal and detection.

    abstract：:A method for detection and removal of random spike noise in magnetic resonance (MR) raw data (k-space data) is described. This method would reduce or eliminate the corduroy-type and higher than usual level artifacts in MR images resulting from random spike noise in k-space data. The method described involves applying ...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.276151

    authors： Foo TF,Grigsby NS,Mitchell JD,Slayman BE

    更新日期：1994-01-01 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

  • Deformable registration of glioma images using EM algorithm and diffusion reaction modeling.

    abstract：:This paper investigates the problem of atlas registration of brain images with gliomas. Multiparametric imaging modalities (T1, T1-CE, T2, and FLAIR) are first utilized for segmentations of different tissues, and to compute the posterior probability map (PBM) of membership to each tissue class, using supervised learni...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2010.2078833

    authors： Gooya A,Biros G,Davatzikos C

    更新日期：2011-02-01 00:00:00

  • EMS-Net: A Deep Learning Method for Autodetecting Epileptic Magnetoencephalography Spikes.

    abstract：:Epilepsy is a neurological disorder characterized by sudden and unpredictable epileptic seizures, which incurs significant negative impacts on patients' physical, psychological and social health. A practical approach to assist with the clinical assessment and treatment planning for patients is to process magnetoenceph...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2019.2958699

    authors： Zheng L,Liao P,Luo S,Sheng J,Teng P,Luan G,Gao JH

    更新日期：2020-06-01 00:00:00

  • Improved watershed transform for medical image segmentation using prior information.

    abstract：:The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete division of the image. However, when applied to medical image analysis, it has important drawbacks (oversegmentation...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2004.824224

    authors： Grau V,Mewes AU,Alcañiz M,Kikinis R,Warfield SK

    更新日期：2004-04-01 00:00:00

  • Robust Unmixing of Dynamic Sequences Using Regions of Interest.

    abstract：:In dynamic planar imaging, extraction of signals specific to structures is complicated by structures superposition. Due to overlapping, signals extraction with classic regions of interest (ROIs) methods suffers from inaccuracy, as extracted signals are a mixture of targeted signals. Partial volume effect raises the sa...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2017.2759661

    authors： Filippi M,Desvignes M,Moisan E

    更新日期：2018-01-01 00:00:00

  • Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition.

    abstract：:Cataract is the clouding of lens, which affects vision and it is the leading cause of blindness in the world's population. Accurate and convenient cataract detection and cataract severity evaluation will improve the situation. Automatic cataract detection and grading methods are proposed in this paper. With prior know...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2019.2928229

    authors： Zhou Y,Li G,Li H

    更新日期：2020-02-01 00:00:00

  • Singular vectors of a linear imaging system as efficient channels for the bayesian ideal observer.

    abstract：:The Bayesian ideal observer provides an absolute upper bound for diagnostic performance of an imaging system and hence should be used for the assessment of image quality whenever possible. However, computation of ideal-observer performance in clinical tasks is difficult since the probability density functions of the d...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2008.2008967

    authors： Park S,Witten JM,Myers KJ

    更新日期：2009-05-01 00:00:00

  • Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery using Diffusion Tractography and Convolutional Neural Networks.

    abstract：:Convolutional neural networks (CNNs) have recently been used in biomedical imaging applications with great success. In this paper, we investigated the classi?cation performance of CNN models on diffusion weighted imaging (DWI) streamlines de?ned by functional MRI (fMRI) and electrical stimulation mapping (ESM). To lea...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2019.2902073

    authors： Xu H,Dong M,Lee MH,OrHara N,Asano E,Jeong JW

    更新日期：2019-02-27 00:00:00

  • Development and validation of a Monte Carlo simulation of photon transport in an Anger camera.

    abstract：:The geometric component of the point spread function (PSF) of a gamma camera collimator can be determined analytically, and the penetration component can be calculated readily by numerical ray-tracing. A Monte Carlo simulation of photon transport which includes collimator scatter is developed. The simulation was imple...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.61758

    authors： De Vries DJ,Moore SC,Zimmerman RE,Mueller SP,Friedland B,Lanza RC

    更新日期：1990-01-01 00:00:00

  • A methodology for evaluation of boundary detection algorithms on medical images.

    abstract：:Image segmentation is the partition of an image into a set of nonoverlapping regions whose union is the entire image. The image is decomposed into meaningful parts which are uniform with respect to certain characteristics, such as gray level or texture. In this paper, we propose a methodology for evaluating medical im...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.640755

    authors： Chalana V,Kim Y

    更新日期：1997-10-01 00:00:00

  • A spatiotemporal model of cyclic kinematics and its application to analyzing nonrigid motion with MR velocity images.

    abstract：:We present a method (DMESH) for nonrigid cyclic motion analysis using a series of velocity images covering the cycle acquired, for example, from phase-contrast magnetic resonance imaging. The method is based on fitting a dynamic finite-element mesh model to velocity samples of an extended region, at all time frames. T...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/42.790456

    authors： Zhu Y,Pelc NJ

    更新日期：1999-07-01 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

  • Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors.

    abstract：:Radiofrequency ablation (RFA) is an established treatment for liver cancer when resection is not possible. Yet, its optimal delivery is challenged by the presence of large blood vessels and the time-varying thermal conductivity of biological tissue. Incomplete treatment and an increased risk of recurrence are therefor...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2015.2406575

    authors： Audigier C,Mansi T,Delingette H,Rapaka S,Mihalef V,Carnegie D,Boctor E,Choti M,Kamen A,Ayache N,Comaniciu D

    更新日期：2015-07-01 00:00:00

  • Advanced level-set-based cell tracking in time-lapse fluorescence microscopy.

    abstract：:Cell segmentation and tracking in time-lapse fluorescence microscopy images is a task of fundamental importance in many biological studies on cell migration and proliferation. In recent years, level sets have been shown to provide a very appropriate framework for this purpose, as they are well suited to capture topolo...

    journal_title：IEEE transactions on medical imaging

    pub_type： 杂志文章

    doi：10.1109/TMI.2009.2038693

    authors： Dzyubachyk O,van Cappellen WA,Essers J,Niessen WJ,Meijering E

    更新日期：2010-03-01 00:00:00