Simulation and Synthesis in Medical Imaging.

Abstract:

:This editorial introduces the Special Issue on Simulation and Synthesis in Medical Imaging. In this editorial, we define so-far ambiguous terms of simulation and synthesis in medical imaging. We also briefly discuss the synergistic importance of mechanistic (hypothesis-driven) and phenomenological (data-driven) models of medical image generation. Finally, we introduce the twelve papers published in this issue covering both mechanistic (5) and phenomenological (7) medical image generation. This rich selection of papers covers applications in cardiology, retinopathy, histopathology, neurosciences, and oncology. It also covers all mainstream diagnostic medical imaging modalities. We conclude the editorial with a personal view on the field and highlight some existing challenges and future research opportunities.

journal_name

IEEE Trans Med Imaging

authors

Frangi AF,Tsaftaris SA,Prince JL

doi

10.1109/TMI.2018.2800298

subject

Has Abstract

pub_date

2018-03-01 00:00:00

pages

673-679

issue

3

eissn

0278-0062

issn

1558-254X

journal_volume

37

pub_type

社论
  • Learning Domain Shift in Simulated and Clinical Data: Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms.

    abstract::Building a data-driven model to localize the origin of ventricular activation from 12-lead electrocardiograms (ECG) requires addressing the challenge of large anatomical and physiological variations across individuals. The alternative of a patient-specific model is, however, difficult to implement in clinical practice...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2880092

    authors: Alawad M,Wang L

    更新日期:2019-05-01 00:00:00

  • An investigation of methods of pileup rejection for 2-D array detectors employed in high resolution PET.

    abstract::Two methods of rejecting pileup events in 2-D array detectors used in positron emission tomography (PET) are investigated. Since the methods are based on different physical properties, they were investigated separately and in combination. Method one is based on the fact that valid events in the 2-D array detector occu...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.79481

    authors: Germano G,Hoffman EJ

    更新日期:1991-01-01 00:00:00

  • Resampling of data between arbitrary grids using convolution interpolation.

    abstract::For certain medical applications resampling of data is required. In magnetic resonance tomography (MRT) or computer tomography (CT), e.g., data may be sampled on nonrectilinear grids in the Fourier domain. For the image reconstruction a convolution-interpolation algorithm, often called gridding, can be applied for res...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.774166

    authors: Rasche V,Proksa R,Sinkus R,Börnert P,Eggers H

    更新日期:1999-05-01 00:00:00

  • Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction.

    abstract::Alzheimer's disease (AD) is a serious neurodegenerative condition that affects millions of individuals across the world. As the average age of individuals in the United States and the world increases, the prevalence of AD will continue to grow. To address this public health problem, the research community has develope...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2958943

    authors: Brand L,Nichols K,Wang H,Shen L,Huang H

    更新日期:2020-06-01 00:00:00

  • The adaptive bases algorithm for intensity-based nonrigid image registration.

    abstract::Nonrigid registration of medical images is important for a number of applications such as the creation of population averages, atlas-based segmentation, or geometric correction of functional magnetic resonance imaging (fMRI) images to name a few. In recent years, a number of methods have been proposed to solve this pr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2003.819299

    authors: Rohde GK,Aldroubi A,Dawant BM

    更新日期:2003-11-01 00:00:00

  • Joint Design of Excitation k-Space Trajectory and RF Pulse for Small-Tip 3D Tailored Excitation in MRI.

    abstract::We propose a new method for the joint design of k-space trajectory and RF pulse in 3D small-tip tailored excitation. Designing time-varying RF and gradient waveforms for a desired 3D target excitation pattern in MRI poses a non-linear, non-convex, constrained optimization problem with relatively large problem size tha...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2015.2478880

    authors: Hao S,Fessler JA,Noll DC,Nielsen JF

    更新日期:2016-02-01 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

  • Topology-based kernels with application to inference problems in Alzheimer's disease.

    abstract::Alzheimer's disease (AD) research has recently witnessed a great deal of activity focused on developing new statistical learning tools for automated inference using imaging data. The workhorse for many of these techniques is the support vector machine (SVM) framework (or more generally kernel-based methods). Most of t...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2011.2147327

    authors: Pachauri D,Hinrichs C,Chung MK,Johnson SC,Singh V

    更新日期:2011-10-01 00:00:00

  • New perspectives on the sources of white matter DTI signal.

    abstract::A minimalist numerical model of white matter is presented, the objective of which is to help provide a biological basis for improved diffusion tensor imaging (DTI) analysis. Water diffuses, relaxes, and exchanges in three compartments-intracellular, extracellular, and myelin sheath. Exchange between compartments is de...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2007.906787

    authors: Peled S

    更新日期:2007-11-01 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

  • Combined volumetric and surface registration.

    abstract::In this paper, we propose a novel method for the registration of volumetric images of the brain that optimizes the alignment of both cortical and subcortical structures. In order to achieve this, relevant geometrical information is extracted from a surface-based morph and diffused into the volume using the Navier oper...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2008.2004426

    authors: Postelnicu G,Zollei L,Fischl B

    更新日期:2009-04-01 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

  • Image reconstruction in magnetic resonance conductivity tensor imaging (MRCTI).

    abstract::Almost all magnetic resonance electrical impedance tomography (MREIT) reconstruction algorithms proposed to date assume isotropic conductivity in order to simplify the image reconstruction. However, it is well known that most of biological tissues have anisotropic conductivity values. In this study, four novel anisotr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2011.2171192

    authors: Değirmenci E,Eyüboğlu BM

    更新日期:2012-03-01 00:00:00

  • MRI of moving subjects using multislice snapshot images with volume reconstruction (SVR): application to fetal, neonatal, and adult brain studies.

    abstract::Motion degrades magnetic resonance (MR) images and prevents acquisition of self-consistent and high-quality volume images. A novel methodology, Snapshot magnetic resonance imaging (MRI) with Volume Reconstruction (SVR) has been developed for imaging moving subjects at high resolution and high signal-to-noise ratio (SN...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2007.895456

    authors: Jiang S,Xue H,Glover A,Rutherford M,Rueckert D,Hajnal JV

    更新日期:2007-07-01 00:00:00

  • Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints.

    abstract::Peripheral Nerve Stimulation (PNS) limits the acquisition rate of Magnetic Resonance Imaging data for fast sequences employing powerful gradient systems. The PNS characteristics are currently assessed after the coil design phase in experimental stimulation studies using constructed coil prototypes. This makes it diffi...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3023329

    authors: Davids M,Guerin B,Klein V,Wald LL

    更新日期:2021-01-01 00:00:00

  • A generative model for image segmentation based on label fusion.

    abstract::We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inference algorithms rely on pairwise registrations between the test image and individual training images. The training labels are then transferre...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2010.2050897

    authors: Sabuncu MR,Yeo BT,Van Leemput K,Fischl B,Golland P

    更新日期:2010-10-01 00:00:00

  • A proof of the spherical homeomorphism conjecture for surfaces.

    abstract::The human cerebral cortex is topologically equivalent to a sphere when it is viewed as closed at the brain stem. Due to noise and/or resolution issues, magnetic resonance imaging may see "handles" that need to be eliminated to reflect the true spherical topology. Shattuck and Leahy present an algorithm to correct such...

    journal_title:IEEE transactions on medical imaging

    pub_type: 评论,信件

    doi:10.1109/TMI.2002.806590

    authors: Abrams L,Fishkind DE,Priebe CE

    更新日期:2002-12-01 00:00:00

  • A maximum a posteriori probability expectation maximization algorithm for image reconstruction in emission tomography.

    abstract::The expectation maximization method for maximum likelihood image reconstruction in emission tomography, based on the Poisson distribution of the statistically independent components of the image and measurement vectors, is extended to a maximum aposteriori image reconstruction using a multivariate Gaussian a priori pr...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.1987.4307826

    authors: Levitan E,Herman GT

    更新日期:1987-01-01 00:00:00

  • Curvelet based contrast enhancement in fluoroscopic sequences.

    abstract::Image guided interventions have seen growing interest in recent years. The use of X-rays for the procedure impels limiting the dose over time. Image sequences obtained thereby exhibit high levels of noise and very low contrasts. Hence, the development of efficient methods to enable optimal visualization of these seque...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2349034

    authors: Amiot C,Girard C,Chanussot J,Pescatore J,Desvignes M

    更新日期:2015-01-01 00:00:00

  • Space-time segmentation using level set active contours applied to myocardial gated SPECT.

    abstract::This paper presents a new variational method for the segmentation of a moving object against a still background, over a sequence of [two-dimensional or three-dimensional (3-D)] image frames. The method is illustrated in application to myocardial gated single photon emission computed tomography (SPECT) data, and incorp...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.932748

    authors: Debreuve E,Barlaud M,Aubert G,Laurette I,Darcourt J

    更新日期:2001-07-01 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

  • 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

  • Lesion detection in dynamic FDG-PET using matched subspace detection.

    abstract::We describe a matched subspace detection algorithm to assist in the detection of small tumors in dynamic positron emission tomography (PET) images. The algorithm is designed to differentiate tumors from background using the time activity curves (TACs) that characterize the uptake of PET tracers. TACs are modeled using...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2008.929105

    authors: Li Z,Li Q,Yu X,Conti PS,Leahy RM

    更新日期:2009-02-01 00:00:00

  • Regularized field map estimation in MRI.

    abstract::In fast magnetic resonance (MR) imaging with long readout times, such as echo-planar imaging (EPI) and spiral scans, it is important to correct for the effects of field inhomogeneity to reduce image distortion and blurring. Such corrections require an accurate field map, a map of the off-resonance frequency at each vo...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2008.923956

    authors: Funai AK,Fessler JA,Yeo DT,Olafsson VT,Noll DC

    更新日期:2008-10-01 00:00:00

  • Dynamic Cell Imaging in PET With Optimal Transport Regularization.

    abstract::We propose a novel dynamic image reconstruction method from PET listmode data that could be particularly suited to tracking single or small numbers of cells. In contrast to conventional PET reconstruction our method combines the information from all detected events not only to reconstruct the dynamic evolution of the ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2953773

    authors: Schmitzer B,Schafers KP,Wirth B

    更新日期:2020-05-01 00:00:00

  • Real-Time Gain Control of PET Detectors and Evaluation With Challenging Radionuclides.

    abstract::Accurate gain control of PET detectors is a prerequisite for quantitative accuracy. A shift in the 511 keV peak position can lead to errors in scatter correction, degrading quantitation. The PET detectors in a PET/MR scanner are subject to thermal transients due to eddy currents induced during gradient-intensive MRI s...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3022321

    authors: Jansen FP,Deller TW,Fries MD,Khalighi MM,White SL,Radford LL,McConathy JE,Lapi SE

    更新日期:2021-01-01 00:00:00

  • Narrowband magnetic particle imaging.

    abstract::The magnetic particle imaging (MPI) method directly images the magnetization of super-paramagnetic iron oxide (SPIO) nanoparticles, which are contrast agents commonly used in magnetic resonance imaging (MRI). MPI, as originally envisioned, requires a high-bandwidth receiver coil and preamplifier, which are difficult t...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2009.2013849

    authors: Goodwill PW,Scott GC,Stang PP,Conolly SM

    更新日期:2009-08-01 00:00:00

  • Novel EIS postprocessing algorithm for breast cancer diagnosis.

    abstract::A new postprocessing algorithm was developed for the diagnosis of breast cancer using electrical impedance scanning. This algorithm automatically recognizes bright focal spots in the conductivity map of the breast. Moreover, this algorithm discriminates between malignant and benign/normal tissues using two main predic...

    journal_title:IEEE transactions on medical imaging

    pub_type: 信件

    doi:10.1109/TMI.2002.800605

    authors: Glickman YA,Filo O,Nachaliel U,Lenington S,Amin-Spector S,Ginor R

    更新日期:2002-06-01 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

  • Vulnerable atherosclerotic plaque elasticity reconstruction based on a segmentation-driven optimization procedure using strain measurements: theoretical framework.

    abstract::It is now recognized that prediction of the vulnerable coronary plaque rupture requires not only an accurate quantification of fibrous cap thickness and necrotic core morphology but also a precise knowledge of the mechanical properties of plaque components. Indeed, such knowledge would allow a precise evaluation of th...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2009.2012852

    authors: Le Floc'h S,Ohayon J,Tracqui P,Finet G,Gharib AM,Maurice RL,Cloutier G,Pettigrew RI

    更新日期:2009-07-01 00:00:00