Total variation regularization for fMRI-based prediction of behavior.


:While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional magnetic resonance imaging (fMRI) data, that provide an indirect measure of task-related or spontaneous neuronal activity, are classically analyzed in a mass-univariate procedure yielding statistical parametric maps. This analysis framework disregards some important principles of brain organization: population coding, distributed and overlapping representations. Multivariate pattern analysis, i.e., the prediction of behavioral variables from brain activation patterns better captures this structure. To cope with the high dimensionality of the data, the learning method has to be regularized. However, the spatial structure of the image is not taken into account in standard regularization methods, so that the extracted features are often hard to interpret. More informative and interpretable results can be obtained with the l(1) norm of the image gradient, also known as its total variation (TV), as regularization. We apply for the first time this method to fMRI data, and show that TV regularization is well suited to the purpose of brain mapping while being a powerful tool for brain decoding. Moreover, this article presents the first use of TV regularization for classification.


IEEE Trans Med Imaging


Michel V,Gramfort A,Varoquaux G,Eger E,Thirion B




Has Abstract


2011-07-01 00:00:00












  • Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.

    abstract::Prostatic adenocarcinoma is the most commonly occurring cancer among men in the United States, second only to skin cancer. Currently, the only definitive method to ascertain the presence of prostatic cancer is by trans-rectal ultrasound (TRUS) directed biopsy. Owing to the poor image quality of ultrasound, the accurac...

    journal_title:IEEE transactions on medical imaging

    pub_type: 临床试验,杂志文章


    authors: Madabhushi A,Feldman MD,Metaxas DN,Tomaszeweski J,Chute D

    更新日期:2005-12-01 00:00:00

  • Lumen segmentation and motion estimation in B-mode and contrast-enhanced ultrasound images of the carotid artery in patients with atherosclerotic plaque.

    abstract::In standard B-mode ultrasound (BMUS), segmentation of the lumen of atherosclerotic carotid arteries and studying the lumen geometry over time are difficult owing to irregular lumen shapes, noise, artifacts, and echolucent plaques. Contrast enhanced ultrasound (CEUS) improves lumen visualization, but lumen segmentation...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Carvalho DD,Akkus Z,van den Oord SC,Schinkel AF,van der Steen AF,Niessen WJ,Bosch JG,Klein S

    更新日期:2015-04-01 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


    authors: Beckmann CF,Smith SM

    更新日期:2004-02-01 00:00:00

  • REDMAPS: reduced-dimensionality matching for prostate brachytherapy seed reconstruction.

    abstract::The success of prostate brachytherapy critically depends on delivering adequate dose to the prostate gland. Intraoperative localization of the implanted seeds provides potential for dose evaluation and optimization during therapy. A reduced-dimensionality matching algorithm for prostate brachytherapy seed reconstructi...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Lee J,Labat C,Jain AK,Song DY,Burdette EC,Fichtinger G,Prince JL

    更新日期:2011-01-01 00:00:00

  • Automated segmentation of multiple sclerosis lesions by model outlier detection.

    abstract::This paper presents a fully automated algorithm for segmentation of multiple sclerosis (MS) lesions from multispectral magnetic resonance (MR) images. The method performs intensity-based tissue classification using a stochastic model for normal brain images and simultaneously detects MS lesions as outliers that are no...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Van Leemput K,Maes F,Vandermeulen D,Colchester A,Suetens P

    更新日期:2001-08-01 00:00:00

  • MRI upsampling using feature-based nonlocal means approach.

    abstract::In magnetic resonance imaging (MRI), spatial resolution is limited by several factors such as acquisition time, short physiological phenomena, and organ motion. The acquired image usually has higher resolution in two dimensions (the acquisition plane) in comparison with the third dimension, resulting in highly anisotr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Jafari-Khouzani K

    更新日期:2014-10-01 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


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

    更新日期:2017-08-01 00:00:00

  • Virtual tagging: numerical considerations and phantom validation.

    abstract::This paper presents a virtual tagging framework for measuring, as well as visualising, myocardial deformation using magnetic resonance (MR) velocity imaging. Tagging grids are allocated artificially according to the deformation gradient with varying shapes and densities. The control points are then deformed such that ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Masood S,Gao J,Yang GZ

    更新日期:2002-09-01 00:00:00

  • Robust simultaneous detection of coronary borders in complex images.

    abstract::Visual estimation of coronary obstruction severity from angiograms suffers from poor inter- and intraobserver reproducibility and is often inaccurate. In spite of the widely recognized limitations of visual analysis, automated methods have not found widespread clinical use, in part because they too frequently fail to ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Sonka M,Winniford MD,Collins SM

    更新日期:1995-01-01 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


    authors: Zeng R,Fessler JA,Balter JM

    更新日期:2007-02-01 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


    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

  • Frequency-domain optical tomographic imaging of arthritic finger joints.

    abstract::We are presenting data from the largest clinical trial on optical tomographic imaging of finger joints to date. Overall we evaluated 99 fingers of patients affected by rheumatoid arthritis (RA) and 120 fingers from healthy volunteers. Using frequency-domain imaging techniques we show that sensitivities and specificiti...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Hielscher AH,Kim HK,Montejo LD,Blaschke S,Netz UJ,Zwaka PA,Illing G,Muller GA,Beuthan J

    更新日期:2011-10-01 00:00:00

  • Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI.

    abstract::In in-utero MRI, motion correction for fetal body and placenta poses a particular challenge due to the presence of local non-rigid transformations of organs caused by bending and stretching. The existing slice-to-volume registration (SVR) reconstruction methods are widely employed for motion correction of fetal brain ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Uus A,Zhang T,Jackson LH,Roberts TA,Rutherford MA,Hajnal JV,Deprez M

    更新日期:2020-09-01 00:00:00

  • Including anatomical and functional information in MC simulation of PET and SPECT brain studies. Brain-VISET: a voxel-based iterative method.

    abstract::Monte Carlo (MC) simulation provides a flexible and robust framework to efficiently evaluate and optimize image processing methods in emission tomography. In this work we present Brain-VISET (Voxel-based Iterative Simulation for Emission Tomography), a method that aims to simulate realistic [ (99m) Tc]-SPECT and [ (18...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Marti-Fuster B,Esteban O,Thielemans K,Setoain X,Santos A,Ros D,Pavia J

    更新日期:2014-10-01 00:00:00

  • Graph-based multi-surface segmentation of OCT data using trained hard and soft constraints.

    abstract::Optical coherence tomography (OCT) is a well-established image modality in ophthalmology and used daily in the clinic. Automatic evaluation of such datasets requires an accurate segmentation of the retinal cell layers. However, due to the naturally low signal to noise ratio and the resulting bad image quality, this ta...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Dufour PA,Ceklic L,Abdillahi H,Schröder S,De Dzanet S,Wolf-Schnurrbusch U,Kowal J

    更新日期:2013-03-01 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


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

    更新日期:2020-11-01 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


    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

  • Automated segmentation and classification of high throughput yeast assay spots.

    abstract::Several technologies for characterizing genes and proteins from humans and other organisms use yeast growth or color development as read outs. The yeast two-hybrid assay, for example, detects protein-protein interactions by measuring the growth of yeast on a specific solid medium, or the ability of the yeast to change...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Jafari-Khouzani K,Soltanian-Zadeh H,Fotouhi F,Parrish JR,Finley RL Jr

    更新日期:2007-10-01 00:00:00

  • A Magnetic Resonance Imaging Surface Coil Transceiver Employing a Metasurface for 1.5T Applications.

    abstract::A capacitive impedance metasurface combined with a transceiver coil to improve the radio frequency magnetic field for 1.5T magnetic resonance imaging applications is presented. The novel transceiver provides localized enhancement in magnetic flux density when compared to a transceiver coil alone by incorporating an el...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Issa I,Ford KL,Rao M,Wild JM

    更新日期:2020-04-01 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


    authors: Pan TS,Tsui BM,Byrne CL

    更新日期:1997-08-01 00:00:00

  • Automatic correction of motion artifacts in magnetic resonance images using an entropy focus criterion.

    abstract::We present the use of an entropy focus criterion to enable automatic focusing of motion corrupted magnetic resonance images. We demonstrate the principle using illustrative examples from cooperative volunteers. Our technique can determine unknown patient motion or use knowledge of motion from other measures as a start...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Atkinson D,Hill DL,Stoyle PN,Summers PE,Keevil SF

    更新日期:1997-12-01 00:00:00

  • 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


    authors: Xiang QS,Nalcioglu O

    更新日期:1988-01-01 00:00:00

  • Wavelet coding of volumetric medical datasets.

    abstract::Several techniques based on the three-dimensional (3-D) discrete cosine transform (DCT) have been proposed for volumetric data coding. These techniques fail to provide lossless coding coupled with quality and resolution scalability, which is a significant drawback for medical applications. This paper gives an overview...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Schelkens P,Munteanu A,Barbarien J,Galca M,Giro-Nieto X,Cornelis J

    更新日期:2003-03-01 00:00:00

  • Renal Segmentation From 3D Ultrasound via Fuzzy Appearance Models and Patient-Specific Alpha Shapes.

    abstract::Ultrasound (US) imaging is the primary imaging modality for pediatric hydronephrosis, which manifests as the dilation of the renal collecting system (CS). In this paper, we present a new framework for the segmentation of renal structures, kidney and CS, from 3DUS scans. First, the kidney is segmented using an active s...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Cerrolaza JJ,Safdar N,Biggs E,Jago J,Peters CA,Linguraru MG

    更新日期:2016-11-01 00:00:00

  • Accelerated Parameter Mapping of Multiple-Echo Gradient-Echo Data Using Model-Based Iterative Reconstruction.

    abstract::A new reconstruction method, coined MIRAGE, is presented for accurate, fast, and robust parameter mapping of multiple-echo gradient-echo (MEGE) imaging, the basis sequence of novel quantitative magnetic resonance imaging techniques such as water content and susceptibility mapping. Assuming that the temporal signal can...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Zimmermann M,Abbas Z,Dzieciol K,Shah NJ

    更新日期:2018-02-01 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


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

    更新日期:2004-04-01 00:00:00

  • Simultaneous Morphological and Flow Imaging Enabled by Megahertz Intravascular Doppler Optical Coherence Tomography.

    abstract::We demonstrate three-dimensional intravascular flow imaging compatible with routine clinical image acquisition workflow by means of megahertz (MHz) intravascular Doppler Optical Coherence Tomography (OCT). The OCT system relies on a 1.1 mm diameter motorized imaging catheter and a 1.5 MHz Fourier Domain Mode Locked (F...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Wang T,Pfeiffer T,Daemen J,Mastik F,Wieser W,van der Steen AFW,Huber R,van Soest G

    更新日期:2020-05-01 00:00:00

  • Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging.

    abstract::Electromagnetic brain imaging is the reconstruction of brain activity from non-invasive recordings of the magnetic fields and electric potentials. An enduring challenge in this imaging modality is estimating the number, location, and time course of sources, especially for the reconstruction of distributed brain source...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Cai C,Diwakar M,Chen D,Sekihara K,Nagarajan SS

    更新日期:2020-03-01 00:00:00

  • Quantitative Susceptibility Mapping Using Structural Feature Based Collaborative Reconstruction (SFCR) in the Human Brain.

    abstract::The reconstruction of MR quantitative susceptibility mapping (QSM) from local phase measurements is an ill posed inverse problem and different regularization strategies incorporating a priori information extracted from magnitude and phase images have been proposed. However, the anatomy observed in magnitude and phase ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Bao L,Li X,Cai C,Chen Z,van Zijl PC

    更新日期:2016-09-01 00:00:00

  • Analysis of noise properties of a class of exact methods of inverting the 2-D exponential radon transform [SPECT application].

    abstract::A general approach that the authors proposed elsewhere reveals the intrinsic relationship among methods for inversion of the 2-D exponential Radon transform described by Bellini et al. (1979), by Tretiak and Metz (1980), by Hawkins et al. (1988), and by Inouye et al. (1989). Moreover, the authors' approach provides an...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章


    authors: Pan X,Metz CE

    更新日期:1995-01-01 00:00:00