A Single Scatter Model for X-ray CT Energy Spectrum Estimation and Polychromatic Reconstruction.

Abstract:

:To improve the quantitative accuracy of linear attenuation coefficients measured by computed tomography (CT), we used a single scatter model to estimate the Compton scatter distribution and then a polychromatic image reconstruction algorithm, namely the iterative maximum-likelihood polychromatic algorithm for CT (IMPACT), was implemented to include scatter correction (SC). To perform the IMPACT, the X-ray spectra of a tube were estimated via an expectation-maximization (EM) algorithm with SC. To test the accuracy of the estimated spectra, the projection images of cubic phantoms containing different depths of polymethylmethacrylate (PMMA) were acquired. The percentage of root mean square errors (%RMSE) of the measured transmission data and calculated transmission values were used to evaluate the accuracy of the estimated spectra. In addition, a hydroxylapatite (HA) phantom was used to study streak artifacts and evaluate the accuracy of the linear attenuation coefficients estimated using the IMPACT with SC. The %RMSE of the EM-with-SC estimated spectra were all lower than 1% and were also smaller than that without SC. The error in the quantification of the HA linear attenuation was only about 3% after SC. Our results showed that the quantitative accuracy of the linear attenuation coefficients measured with a cone beam CT was improved when the IMPACT with SC was used.

journal_name

IEEE Trans Med Imaging

authors

Lee JS,Chen JC

doi

10.1109/TMI.2015.2395438

subject

Has Abstract

pub_date

2015-06-01 00:00:00

pages

1403-13

issue

6

eissn

0278-0062

issn

1558-254X

journal_volume

34

pub_type

杂志文章
  • Compensation for nonuniform resolution using penalized-likelihood reconstruction in space-variant imaging systems.

    abstract::Imaging systems that form estimates using a statistical approach generally yield images with nonuniform resolution properties. That is, the reconstructed images possess resolution properties marked by space-variant and/or anisotropic responses. We have previously developed a space-variant penalty for penalized-likelih...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2003.823063

    authors: Stayman JW,Fessler JA

    更新日期:2004-03-01 00:00:00

  • Low-level segmentation of 3-D magnetic resonance brain images-a rule-based system.

    abstract::A rule-based, low-level segmentation system that can automatically identify the space occupied by different structures of the brain by magnetic resonance imaging (MRI) is described. Given three-dimensional image data as a stack of slices, it can extract brain parenchyma, cerebro-spinal fluid, and high-intensity abnorm...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.57771

    authors: Raya SP

    更新日期:1990-01-01 00:00:00

  • Electrical impedance tomography of translationally uniform cylindrical objects with general cross-sectional boundaries.

    abstract::An algorithm is developed for electrical impedance tomography (EIT) of finite cylinders with general cross-sectional boundaries and translationally uniform conductivity distributions. The electrodes for data collection are assumed to be placed around a cross-sectional plane; therefore, the axial variation of the bound...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.52982

    authors: Ider YZ,Gencer NG,Atalar E,Tosun H

    更新日期:1990-01-01 00:00:00

  • A versatile wavelet domain noise filtration technique for medical imaging.

    abstract::In this paper, we propose a robust wavelet domain method for noise filtering in medical images. The proposed method adapts itself to various types of image noise as well as to the preference of the medical expert; a single parameter can be used to balance the preservation of (expert-dependent) relevant details against...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2003.809588

    authors: Pizurica A,Philips W,Lemahieu I,Acheroy M

    更新日期:2003-03-01 00:00:00

  • Estimating 3-D respiratory motion from orbiting views by tomographic image registration.

    abstract::Respiratory motion remains a significant source of errors in treatment planning for the thorax and upper abdomen. Recently, we proposed a method to estimate two-dimensional (2-D) object motion from a sequence of slowly rotating X-ray projection views, which we called deformation from orbiting views (DOVs). In this met...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2006.889719

    authors: Zeng R,Fessler JA,Balter JM

    更新日期:2007-02-01 00:00:00

  • Quantitative analysis of cardiac tissue including fibroblasts using three-dimensional confocal microscopy and image reconstruction: towards a basis for electrophysiological modeling.

    abstract::Electrophysiological modeling of cardiac tissue is commonly based on functional and structural properties measured in experiments. Our knowledge of these properties is incomplete, in particular their remodeling in disease. Here, we introduce a methodology for quantitative tissue characterization based on fluorescent l...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2013.2240693

    authors: Schwab BC,Seemann G,Lasher RA,Torres NS,Wulfers EM,Arp M,Carruth ED,Bridge JH,Sachse FB

    更新日期:2013-05-01 00:00:00

  • Imaging the distribution of magnetic nanoparticles with ultrasound.

    abstract::Magnetic nanoparticles can be caused to oscillate under the influence of an incident ultrasonic wave. If the particles are momentarily aligned with a magnetizing pulse creating a macroscopic magnetization, this oscillation will result in a time-varying magnetic moment which should be detectable as an induced voltage i...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2007.895476

    authors: Norton SJ,Vo-Dinh T

    更新日期:2007-05-01 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

  • Geometric modeling of the human normal cerebral arterial system.

    abstract::We propose an anatomy-based approach for an efficient construction of a three-dimensional human normal cerebral arterial model from segmented and skeletonized angiographic data. The centerline-based model is used for an accurate angiographic data representation. A vascular tree is represented by tubular segments and b...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/tmi.2005.845041

    authors: Volkau I,Zheng W,Baimouratov R,Aziz A,Nowinski WL

    更新日期:2005-04-01 00:00:00

  • 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 i...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.293927

    authors: Gencer NG,Kuzuoglu M,Ider YZ

    更新日期:1994-01-01 00:00:00

  • Deep Geodesic Learning for Segmentation and Anatomical Landmarking.

    abstract::In this paper, we propose a novel deep learning framework for anatomy segmentation and automatic landmarking. Specifically, we focus on the challenging problem of mandible segmentation from cone-beam computed tomography (CBCT) scans and identification of 9 anatomical landmarks of the mandible on the geodesic space. Th...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2875814

    authors: Torosdagli N,Liberton DK,Verma P,Sincan M,Lee JS,Bagci U

    更新日期:2019-04-01 00:00:00

  • Automatic segmentation of scaling in 2-D psoriasis skin images.

    abstract::Psoriasis is a chronic inflammatory skin disease that affects over 3% of the population. Various methods are currently used to evaluate psoriasis severity and to monitor therapeutic response. The PASI system of scoring is widely used for evaluating psoriasis severity. It employs a visual analogue scale to score the th...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2012.2236349

    authors: Lu J,Kazmierczak E,Manton JH,Sinclair R

    更新日期:2013-04-01 00:00:00

  • A Kernel-Based Low-Rank (KLR) Model for Low-Dimensional Manifold Recovery in Highly Accelerated Dynamic MRI.

    abstract::While many low rank and sparsity-based approaches have been developed for accelerated dynamic magnetic resonance imaging (dMRI), they all use low rankness or sparsity in input space, overlooking the intrinsic nonlinear correlation in most dMRI data. In this paper, we propose a kernel-based framework to allow nonlinear...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2017.2723871

    authors: Nakarmi U,Wang Y,Lyu J,Liang D,Ying L

    更新日期:2017-11-01 00:00:00

  • Simultaneous Analysis of 2D Echo Views for Left Atrial Segmentation and Disease Detection.

    abstract::We propose a joint information approach for automatic analysis of 2D echocardiography (echo) data. The approach combines a priori images, their segmentations and patient diagnostic information within a unified framework to determine various clinical parameters, such as cardiac chamber volumes, and cardiac disease labe...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2016.2593900

    authors: Allan G,Nouranian S,Tsang T,Seitel A,Mirian M,Jue J,Hawley D,Fleming S,Gin K,Swift J,Rohling R,Abolmaesumi P

    更新日期:2017-01-01 00:00:00

  • Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images.

    abstract::We propose a conceptually simple framework for fast COVID-19 screening in 3D chest CT images. The framework can efficiently predict whether or not a CT scan contains pneumonia while simultaneously identifying pneumonia types between COVID-19 and Interstitial Lung Disease (ILD) caused by other viruses. In the proposed ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.2994908

    authors: Wang J,Bao Y,Wen Y,Lu H,Luo H,Xiang Y,Li X,Liu C,Qian D

    更新日期:2020-08-01 00:00:00

  • Fast and Accurate Rat Head Motion Tracking With Point Sources for Awake Brain PET.

    abstract::To avoid the confounding effects of anesthesia and immobilization stress in rat brain positron emission tomography (PET), motion tracking-based unrestrained awake rat brain imaging is being developed. In this paper, we propose a fast and accurate rat headmotion tracking method based on small PET point sources. PET poi...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2017.2667889

    authors: Miranda A,Staelens S,Stroobants S,Verhaeghe J

    更新日期:2017-07-01 00:00:00

  • Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.

    abstract::Accurate localization of anatomical landmarks is an important step in medical imaging, as it provides useful prior information for subsequent image analysis and acquisition methods. It is particularly useful for initialization of automatic image analysis tools (e.g. segmentation and registration) and detection of scan...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2016.2597270

    authors: Oktay O,Bai W,Guerrero R,Rajchl M,de Marvao A,O'Regan DP,Cook SA,Heinrich MP,Glocker B,Rueckert D

    更新日期:2017-01-01 00:00:00

  • A task-specific evaluation of three-dimensional image interpolation techniques.

    abstract::Image interpolation is an important operation that is widely used in medical imaging, image processing, and computer graphics. A variety of interpolation methods are available in the literature. However, their systematic evaluation is lacking. In a previous paper, we presented a framework for the task-independent comp...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.759116

    authors: Grevera GJ,Udupa JK,Miki Y

    更新日期:1999-02-01 00:00:00

  • An image-guided planning system for endosseous oral implants.

    abstract::A preoperative planning system for oral implant surgery was developed which takes as input computed tomographies (CT's) of the jaws. Two-dimensional (2-D) reslices of these axial CT slices orthogonal to a curve following the jaw arch are computed and shown together with three-dimensional (3-D) surface rendered models ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.736056

    authors: Verstreken K,Van Cleynenbreugel J,Martens K,Marchal G,van Steenberghe D,Suetens P

    更新日期:1998-10-01 00:00:00

  • A fast iterated conditional modes algorithm for water-fat decomposition in MRI.

    abstract::Decomposition of water and fat in magnetic resonance imaging (MRI) is important for biomedical research and clinical applications. In this paper, we propose a two-phased approach for the three-point water-fat decomposition problem. Our contribution consists of two components: 1) a background-masked Markov random field...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2011.2125980

    authors: Huang F,Narayan S,Wilson D,Johnson D,Zhang GQ

    更新日期:2011-08-01 00:00:00

  • Digital mammography: mixed feature neural network with spectral entropy decision for detection of microcalcifications.

    abstract::A computationally efficient mixed feature based neural network (MFNN) is proposed for the detection of microcalcification clusters (MCCs) in digitized mammograms. The MFNN employs features computed in both the spatial and spectral domain and uses spectral entropy as a decision parameter. Backpropagation with Kalman fi...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.538936

    authors: Zheng B,Qian W,Clarke LP

    更新日期:1996-01-01 00:00:00

  • Breast tissue density quantification via digitized mammograms.

    abstract::Studies reported in the literature indicate that breast cancer risk is associated with mammographic densities. An objective, repeatable, and a quantitative measure of risk derived from mammographic densities will be of considerable use in recommending alternative screening paradigms and/or preventive measures. However...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.938247

    authors: Saha PK,Udupa JK,Conant EF,Chakraborty DP,Sullivan D

    更新日期:2001-08-01 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

  • SVD compression for magnetic resonance fingerprinting in the time domain.

    abstract::Magnetic resonance (MR) fingerprinting is a technique for acquiring and processing MR data that simultaneously provides quantitative maps of different tissue parameters through a pattern recognition algorithm. A predefined dictionary models the possible signal evolutions simulated using the Bloch equations with differ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2337321

    authors: McGivney DF,Pierre E,Ma D,Jiang Y,Saybasili H,Gulani V,Griswold MA

    更新日期:2014-12-01 00:00:00

  • Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference.

    abstract::A convenient way to analyze blood-oxygen-level-dependent functional magnetic resonance imaging data consists of modeling the whole brain as a stationary, linear system characterized by its transfer function: the hemodynamic response function (HRF). HRF estimation, though of the greatest interest, is still under invest...

    journal_title:IEEE transactions on medical imaging

    pub_type: 临床试验,杂志文章

    doi:10.1109/TMI.2004.831221

    authors: Marrelec G,Ciuciu P,Pélégrini-Issac M,Benali H

    更新日期:2004-08-01 00:00:00

  • Video-Rate Ring-Array Ultrasound and Photoacoustic Tomography.

    abstract::Ultrasonography and photoacoustic tomography provide complementary contrasts in preclinical studies, disease diagnoses, and imaging-guided interventional procedures. Here, we present a video-rate (20 Hz) dual-modality ultrasound and photoacoustic tomographic platform that has a high resolution, rich contrasts, deep pe...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3017815

    authors: Zhang Y,Wang L

    更新日期:2020-12-01 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

  • Diffuse optical tomography enhanced by clustered sparsity for functional brain imaging.

    abstract::Diffuse optical tomography (DOT) is a noninvasive technique which measures hemodynamic changes in the tissue with near infrared light, which has been increasingly used to study brain functions. Due to the nature of light propagation in the tissue, the reconstruction problem is severely ill-posed. For linearized DOT pr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2338214

    authors: Chen C,Tian F,Liu H,Huang J

    更新日期:2014-12-01 00:00:00

  • Model-based MR parameter mapping with sparsity constraints: parameter estimation and performance bounds.

    abstract::Magnetic resonance parameter mapping (e.g., T1 mapping, T2 mapping, T*2 mapping) is a valuable tool for tissue characterization. However, its practical utility has been limited due to long data acquisition time. This paper addresses this problem with a new model-based parameter mapping method. The proposed method util...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2322815

    authors: Zhao B,Lam F,Liang ZP

    更新日期:2014-09-01 00:00:00

  • Principal Component Analysis Based Dynamic Cone Beam X-Ray Luminescence Computed Tomography: A Feasibility Study.

    abstract::Cone beam X-ray luminescence computed tomography (CB-XLCT) is a promising imaging technique in studying the physiological and pathological processes in small animals. However, the dynamic bio-distributions of probes in small animal, especially in adjacent targets are still hard to be captured directly from dynamic CB-...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2917026

    authors: Pu H,Gao P,Liu Y,Rong J,Shi F,Lu H

    更新日期:2019-12-01 00:00:00