Automated characterization of breast lesions imaged with an ultrafast DCE-MR protocol.

Abstract:

:Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast has become an invaluable tool in the clinical work-up of patients suspected of having breast carcinoma. The purpose of this study is to introduce novel features extracted from the kinetics of contrast agent uptake imaged by a short (100 s) view-sharing MRI protocol, and to investigate how these features measure up to commonly used features for regular DCE-MRI of the breast. Performance is measured with a computer aided diagnosis (CADx) system aimed at distinguishing benign from malignant lesions. A bi-temporal breast MRI protocol was used. This protocol produces five regular, high spatial-resolution T1-weighted acquisitions interleaved with a series of 20 ultrafast view-sharing acquisitions during contrast agent uptake. We measure and compare the performances of morphological and kinetic features derived from both the regular DCE-MRI sequence and the ultrafast view-sharing sequence with four different classifiers. The classification performance of kinetics derived from the short (100 s) ultrafast acquisition starting with contrast agent administration, is significantly higher than the performance of kinetics derived from a much lengthier (510 s), commonly used 3-D gradient echo acquisition. When combined with morphology information all classifiers show a higher performance for the ultrafast acquisition (two out of four results are significantly better).

journal_name

IEEE Trans Med Imaging

authors

Platel B,Mus R,Welte T,Karssemeijer N,Mann R

doi

10.1109/TMI.2013.2281984

subject

Has Abstract

pub_date

2014-02-01 00:00:00

pages

225-32

issue

2

eissn

0278-0062

issn

1558-254X

journal_volume

33

pub_type

杂志文章
  • Tomographic fluorescence imaging in tissue phantoms: a novel reconstruction algorithm and imaging geometry.

    abstract::A novel image reconstruction algorithm has been developed and demonstrated for fluorescence-enhanced frequency-domain photon migration (FDPM) tomography from measurements of area illumination with modulated excitation light and area collection of emitted fluorescence light using a gain modulated image-intensified char...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/tmi.2004.839359

    authors: Roy R,Thompson AB,Godavarty A,Sevick-Muraca EM

    更新日期:2005-02-01 00:00:00

  • Fast joint reconstruction of dynamic R2* and field maps in functional MRI.

    abstract::Blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) is conventionally done by reconstructing T(2)(*)-weighted images. However, since the images are unitless they are nonquantifiable in terms of important physiological parameters. An alternative approach is to reconstruct R(2)(*) maps which...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2008.917247

    authors: Olafsson VT,Noll DC,Fessler JA

    更新日期:2008-09-01 00:00:00

  • Red Lesion Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening.

    abstract::The development of an automatic telemedicine system for computer-aided screening and grading of diabetic retinopathy depends on reliable detection of retinal lesions in fundus images. In this paper, a novel method for automatic detection of both microaneurysms and hemorrhages in color fundus images is described and va...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2015.2509785

    authors: Seoud L,Hurtut T,Chelbi J,Cheriet F,Langlois JM

    更新日期:2016-04-01 00:00:00

  • Sparse reconstruction of the magnetic particle imaging system matrix.

    abstract::Magnetic particle imaging allows to determine the spatial distribution of magnetic nanoparticles in vivo. The system matrix in magnetic particle imaging is commonly acquired in a tedious calibration scan and requires to measure the system response at numerous positions in the field-of-view. In this paper, we propose a...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2013.2258029

    authors: Knopp T,Weber A

    更新日期:2013-08-01 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

  • Wound status evaluation using color image processing.

    abstract::An accurate diagnosis of burns and pressure ulcers in the early stages can be made by computerized image processing. This study describes a critical assessment of potential methodologies for noninvasive wound evaluation using a color imaging system. We also developed a method for quantifying histological readings and ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.552057

    authors: Hansen GL,Sparrow EM,Kokate JY,Leland KJ,Iaizzo PA

    更新日期:1997-02-01 00:00:00

  • Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation.

    abstract::Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the accurate and automatic segmentation of optic disc (OD) and optic cup (OC) from fundus images is a fundamental task. Most existing methods s...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2791488

    authors: Fu H,Cheng J,Xu Y,Wong DWK,Liu J,Cao X

    更新日期:2018-07-01 00:00:00

  • An explanation of the effects of Squashing in limited angle tomography.

    abstract::The effects of Squashing, an algorithm introduced by J.A. Reeds and L.A. Shepp (see ibid., vol.MI-6, no.2, p.89-97, June 1987), are described. It is proven that Squashing induces a weight function upon the projections. Intuitive and numerical evidence is presented showing that this weight function is not desirable at ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.57761

    authors: Olson T,Jaffe JS

    更新日期:1990-01-01 00:00:00

  • Hybrid feature-based diffeomorphic registration for tumor tracking in 2-D liver ultrasound images.

    abstract::Real-time ultrasound image acquisition is a pivotal resource in the medical community, in spite of its limited image quality. This poses challenges to image registration methods, particularly to those driven by intensity values. We address these difficulties in a novel diffeomorphic registration technique for tumor tr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2013.2262055

    authors: Cifor A,Risser L,Chung D,Anderson EM,Schnabel JA

    更新日期:2013-09-01 00:00:00

  • Probabilistic independent component analysis for functional magnetic resonance imaging.

    abstract::We present an integrated approach to probabilistic independent component analysis (ICA) for functional MRI (FMRI) data that allows for nonsquare mixing in the presence of Gaussian noise. In order to avoid overfitting, we employ objective estimation of the amount of Gaussian noise through Bayesian analysis of the true ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2003.822821

    authors: Beckmann CF,Smith SM

    更新日期:2004-02-01 00:00:00

  • Simultaneous sparsity model for histopathological image representation and classification.

    abstract::The multi-channel nature of digital histopathological images presents an opportunity to exploit the correlated color channel information for better image modeling. Inspired by recent work in sparsity for single channel image classification, we propose a new simultaneous sparsity model for multi-channel histopathologic...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2306173

    authors: Srinivas U,Mousavi HS,Monga V,Hattel A,Jayarao B

    更新日期:2014-05-01 00:00:00

  • Detecting Cardiovascular Disease from Mammograms With Deep Learning.

    abstract::Coronary artery disease is a major cause of death in women. Breast arterial calcifications (BACs), detected inmammograms, can be useful riskmarkers associated with the disease. We investigate the feasibility of automated and accurate detection ofBACsinmammograms for risk assessment of coronary artery disease. We devel...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2017.2655486

    authors: Wang J,Ding H,Bidgoli FA,Zhou B,Iribarren C,Molloi S,Baldi P

    更新日期:2017-05-01 00:00:00

  • Semi-automatic segmentation of vascular network images using a rotating structuring element (ROSE) with mathematical morphology and dual feature thresholding.

    abstract::A method for measuring the spatial concentration of specific categories of vessels in a vascular network consisting of vessels of several diameters, lengths, and orientations is demonstrated. It is shown that a combination of the mathematical morphology operation, opening, with a linear rotating structuring element (R...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.241865

    authors: Thackray BD,Nelson AC

    更新日期:1993-01-01 00:00:00

  • Closing the Gap between Deep Neural Network Modeling and Biomedical Decision-Making Metrics in Segmentation via Adaptive Loss Functions.

    abstract::Deep learning is becoming an indispensable tool for various tasks in science and engineering. A critical step in constructing a reliable deep learning model is the selection of a loss function, which measures the discrepancy between the network prediction and the ground truth. While a variety of loss functions have be...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3031913

    authors: Seo H,Bassenne M,Xing L

    更新日期:2020-10-19 00:00:00

  • Dual Energy Differential Phase Contrast CT (DE-DPC-CT) Imaging.

    abstract::When more than two elemental materials are present in a given object, material quantification may not be robust and accurate when the routine two-material decomposition scheme in current dual energy CT imaging is employed. In this work, we present an innovative scheme to accomplish accurate three-material decompositio...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.2990347

    authors: Ji X,Zhang R,Li K,Chen GH

    更新日期:2020-11-01 00:00:00

  • A row-action alternative to the EM algorithm for maximizing likelihood in emission tomography.

    abstract::The maximum likelihood (ML) approach to estimating the radioactive distribution in the body cross section has become very popular among researchers in emission computed tomography (ECT) since it has been shown to provide very good images compared to those produced with the conventional filtered backprojection (FBP) al...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.538946

    authors: Browne J,de Pierro AB

    更新日期:1996-01-01 00:00:00

  • Determination of optimal angiographic viewing angles: basic principles and evaluation study.

    abstract::Foreshortening of vessel segments in angiographic (biplane) projection images may cause misinterpretation of the extent and degree of coronary artery disease. The views in which the object of interest are visualized with minimum foreshortening are called optimal views. The authors present a complete approach to obtain...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.276141

    authors: Dumay AM,Reiber JC,Gerbrands JJ

    更新日期:1994-01-01 00:00:00

  • Detection and Localization of Ultrasound Scatterers Using Convolutional Neural Networks.

    abstract::Delay-and-sum (DAS) beamforming is unable to identify individual scatterers when their density is so high that their point spread functions overlap. This paper proposes a convolutional neural network (CNN)-based method to detect and localize high-density scatterers, some of which are closer than the resolution limit o...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3006445

    authors: Youn J,Ommen ML,Stuart MB,Thomsen EV,Larsen NB,Jensen JA

    更新日期:2020-12-01 00:00:00

  • MRI Meets MPI: a bimodal MPI-MRI tomograph.

    abstract::While magnetic particle imaging (MPI) constitutes a novel biomedical imaging technique for tracking superparamagnetic nanoparticles in vivo, unlike magnetic resonance imaging (MRI), it cannot provide anatomical background information. Until now these two modalities have been performed in separate scanners and image co...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2327515

    authors: Vogel P,Lother S,Rückert MA,Kullmann WH,Jakob PM,Fidler F,Behr VC

    更新日期:2014-10-01 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

  • Time delay for arrival of MR contrast agent in collateral-dependent myocardium.

    abstract::An analysis of the kinetics of myocardial contrast enhancement is an important component of myocardial perfusion studies. The contrast enhancement can be modeled by a linear time-invariant system, and the myocardial impulse response, calculated by deconvolution of the measured tissue response with an arterial input, g...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2004.827969

    authors: Jerosch-Herold M,Hu X,Murthy NS,Seethamraju RT

    更新日期:2004-07-01 00:00:00

  • Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks.

    abstract::Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomography can be used by experts to detect and characterize the lesions. In clinical routine, hundreds of images are acquired for each patient, wh...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2865659

    authors: Gessert N,Lutz M,Heyder M,Latus S,Leistner DM,Abdelwahed YS,Schlaefer A

    更新日期:2019-02-01 00:00:00

  • Noise characterization of block-iterative reconstruction algorithms: II. Monte Carlo simulations.

    abstract::In Soares et al. (2000), the ensemble statistical properties of the rescaled block-iterative expectation-maximization (RBI-EM) reconstruction algorithm and rescaled block-iterative simultaneous multiplicative algebraic reconstruction technique (RBI-SMART) were derived. Included in this analysis were the special cases ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/tmi.2004.836876

    authors: Soares EJ,Glick SJ,Hoppin JW

    更新日期:2005-01-01 00:00:00

  • A Sparse Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRI.

    abstract::Muscle coordination patterns of lingual behaviors are synergies generated by deforming local muscle groups in a variety of ways. Functional units are functional muscle groups of local structural elements within the tongue that compress, expand, and move in a cohesive and consistent manner. Identifying the functional u...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2870939

    authors: Jonghye Woo,Prince JL,Stone M,Fangxu Xing,Gomez AD,Green JR,Hartnick CJ,Brady TJ,Reese TG,Wedeen VJ,El Fakhri G

    更新日期:2019-03-01 00:00:00

  • Multi-dimensional tumor detection in automated whole breast ultrasound using topographic watershed.

    abstract::Automated whole breast ultrasound (ABUS) is becoming a popular screening modality for whole breast examination. Compared to conventional handheld ultrasound, ABUS achieves operator-independent and is feasible for mass screening. However, reviewing hundreds of slices in an ABUS image volume is time-consuming. A compute...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2315206

    authors: Lo CM,Chen RT,Chang YC,Yang YW,Hung MJ,Huang CS,Chang RF

    更新日期:2014-07-01 00:00:00

  • Anatomy and flow in normal and ischemic microvasculature based on a novel temporal fractal dimension analysis algorithm using contrast enhanced ultrasound.

    abstract::Strategies for improvement of blood flow by promoting new vessel growth in ischemic tissue are being developed. Recently, contrast-enhanced ultrasound (CEU) imaging has been used to assess tissue perfusion in models of ischemia-related angiogenesis, growth-factor mediated angiogenesis, and tumor angiogenesis. In these...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/tmi.2006.877442

    authors: Charalampidis D,Pascotto M,Kerut EK,Lindner JR

    更新日期:2006-08-01 00:00:00

  • Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction.

    abstract::Convolutional Neural Networks (CNNs) have achieved overwhelming success in learning-related problems for 2D/3D images in the Euclidean space. However, unlike in the Euclidean space, the shapes of many structures in medical imaging have an inherent spherical topology in a manifold space, e.g., the convoluted brain cort...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2021.3050072

    authors: Zhao F,Wu Z,Wang L,Lin W,Gilmore JH,Xia S,Shen D,Li G

    更新日期:2021-01-08 00:00:00

  • Magnetic resonance angiography.

    abstract::This paper describes several methods for magnetic resonance angiography that create projection images based solely on flowing blood. To both remove static tissue from the image and generate signals from blood, two classes of methods considered are temporal subtraction and cancelling excitation. Temporal subtraction, a...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.1986.4307763

    authors: Nishimura DG,Macovski A,Pauly JM

    更新日期:1986-01-01 00:00:00

  • General reconstruction theory for multislice X-ray computed tomography with a gantry tilt.

    abstract::This paper discusses image reconstruction with a tilted gantry in multislice computed tomography (CT) with helical (spiral) data acquisition. The reconstruction problem with gantry tilt is shown to be transformable into the problem of reconstructing a virtual object from multislice CT data with no gantry tilt, for whi...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2004.829337

    authors: Noo F,Defrise M,Kudo H

    更新日期:2004-09-01 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