# IEEE Transactions on Medical Imaging

## Issue 2 • Feb. 2018

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## Filter Results

Displaying Results 1 - 25 of 35

Publication Year: 2018, Page(s):C1 - C4
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• ### IEEE Transactions on Medical Imaging publication information

Publication Year: 2018, Page(s): C2
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• ### Ultrafast Ultrasound Imaging Using Combined Transmissions With Cross-Coherence-Based Reconstruction

Publication Year: 2018, Page(s):337 - 348
| |PDF (3099 KB) |  Media

Plane-wave-based ultrafast imaging has become the prevalent technique for non-conventional ultrasound imaging. The image quality, especially in terms of the suppression of artifacts, is generally compromised by reducing the number of transmissions for a higher frame rate. We hereby propose a new ultrafast imaging framework that reduces not only the side lobe artifacts but also the axial lobe artif... View full abstract»

• ### Physics Model-Based Scatter Correction in Multi-Source Interior Computed Tomography

Publication Year: 2018, Page(s):349 - 360
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Multi-source interior computed tomography (CT) has a great potential to provide ultra-fast and organ-oriented imaging at low radiation dose. However, X-ray cross scattering from multiple simultaneously activated X-ray imaging chains compromises imaging quality. Previously, we published two hardware-based scatter correction methods for multi-source interior CT. Here, we propose a software-based sca... View full abstract»

• ### A Look-Up Table-Based Ray Integration Framework for 2-D/3-D Forward and Back Projection in X-Ray CT

Publication Year: 2018, Page(s):361 - 371
| |PDF (2278 KB) |  Media

Iterative algorithms have become increasingly popular in computed tomography (CT) image reconstruction, since they better deal with the adverse image artifacts arising from low radiation dose image acquisition. But iterative methods remain computationally expensive. The main cost emerges in the projection and back projection operations, where accurate CT system modeling can greatly improve the qua... View full abstract»

• ### Development of a Fluid Dynamic Model for Quantitative Contrast-Enhanced Ultrasound Imaging

Publication Year: 2018, Page(s):372 - 383
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Contrast-enhanced ultrasound (CEUS) is a non-invasive imaging technique extensively used for blood perfusion imaging of various organs. This modality is based on the acoustic detection of gas-filled microbubble contrast agents used as intravascular flow tracers. Recent efforts aim at quantifying parameters related to the enhancement in the vascular compartment using time-intensity curve (TIC), and... View full abstract»

• ### Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Publication Year: 2018, Page(s):384 - 395
| |PDF (2587 KB) |  Media

Incorporation of prior knowledge about organ shape and location is key to improve performance of image analysis approaches. In particular, priors can be useful in cases where images are corrupted and contain artefacts due to limitations in image acquisition. The highly constrained nature of anatomical objects can be well captured with learning-based techniques. However, in most recent and promisin... View full abstract»

• ### Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty

Publication Year: 2018, Page(s):396 - 407
| |PDF (2232 KB) |  Media

Principal component analysis (PCA) is an exploratory tool widely used in data analysis to uncover the dominant patterns of variability within a population. Despite its ability to represent a data set in a low-dimensional space, PCA’s interpretability remains limited. Indeed, the components produced by PCA are often noisy or exhibit no visually meaningful patterns. Furthermore, the fact that... View full abstract»

• ### Multi-Rate Acquisition for Dead Time Reduction in Magnetic Resonance Receivers: Application to Imaging With Zero Echo Time

Publication Year: 2018, Page(s):408 - 416
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For magnetic resonance imaging of tissues with very short transverse relaxation times, radio-frequency excitation must be immediately followed by data acquisition with fast spatial encoding. In zero-echo-time (ZTE) imaging, excitation is performed while the readout gradient is already on, causing data loss due to an initial dead time. One major dead time contribution is the settling time of the fi... View full abstract»

• ### Magnetic Resonance Mediated Radiofrequency Ablation

Publication Year: 2018, Page(s):417 - 427
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To introduce magnetic resonance mediated radiofrequency ablation (MR-RFA), in which the MRI scanner uniquely serves both diagnostic and therapeutic roles. In MR-RFA scanner-induced RF heating is channeled to the ablation site via a Larmor frequency RF pickup device and needle system, and controlled via the pulse sequence. MR-RFA was evaluated with simulation of electric and magnetic fields to pred... View full abstract»

• ### Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy

Publication Year: 2018, Page(s):428 - 437
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Image guidance has become the standard of care for patient positioning in radiotherapy, where image registration is often a critical step to help manage patient motion. However, in practice, verification of registration quality is often adversely affected by difficulty in manual inspection of 3-D images and time constraint, thus affecting the therapeutic outcome. Therefore, we proposed to employ b... View full abstract»

• ### Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter

Publication Year: 2018, Page(s):438 - 450
| |PDF (3888 KB)

Automated detection of vascular structures is of great importance in understanding the mechanism, diagnosis, and treatment of many vascular pathologies. However, automatic vascular detection continues to be an open issue because of difficulties posed by multiple factors, such as poor contrast, inhomogeneous backgrounds, anatomical variations, and the presence of noise during image acquisition. In ... View full abstract»

• ### A Parametric Level Set Method for Electrical Impedance Tomography

Publication Year: 2018, Page(s):451 - 460
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This paper presents an image reconstruction method based on parametric level set (PLS) method using electrical impedance tomography. The conductivity to be reconstructed was assumed to be piecewise constant and the geometry of the anomaly was represented by a shape-based PLS function, which we represent using Gaussian radial basis functions (GRBF). The representation of the PLS function significan... View full abstract»

• ### Magnetic Resonance RF Pulse Design by Optimal Control With Physical Constraints

Publication Year: 2018, Page(s):461 - 472
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Optimal control approaches have proved useful in designing RF pulses for large tip-angle applications. A typical challenge for optimal control design is the inclusion of constraints resulting from physiological or technical limitations that assure the realizability of the optimized pulses. In this paper, we show how to treat such inequality constraints, in particular, amplitude constraints on the ... View full abstract»

• ### Quasi-Random Single-Point Imaging Using Low-Discrepancy $k$ -Space Sampling

Publication Year: 2018, Page(s):473 - 479
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Magnetic resonance imaging of short relaxation time spin systems has been a widely discussed topic with serious clinical applications and led to the emergence of fast imaging ultra-short echo-time sequences. Nevertheless, these sequences suffer from image blurring, due to the related sampling point spread function and are highly prone to imaging artefacts arising from, e.g., chemical shifts or mag... View full abstract»

• ### Exact Calculation of Noise Maps and ${g}$ -Factor in GRAPPA Using a ${k}$ -Space Analysis

Publication Year: 2018, Page(s):480 - 490
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Characterization of the noise distribution in magnetic resonance images has multiple applications, including quality assurance and protocol optimization. Noise characterization is particularly important in the presence of parallel imaging acceleration with multi-coil acquisitions, where the noise distribution can contain severe spatial heterogeneities. If the parallel imaging reconstruction is a l... View full abstract»

• ### A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Publication Year: 2018, Page(s):491 - 503
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Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data using a deep cascade of convolutional neural networks (CNNs) to accelerate the data acquisition process. In particular, we address the case where data are acquired using aggressive Cartesian undersampling. First, we show that... View full abstract»

• ### Non-Rigid Event-by-Event Continuous Respiratory Motion Compensated List-Mode Reconstruction for PET

Publication Year: 2018, Page(s):504 - 515
| |PDF (2187 KB) |  Media

Respiratory motion during positron emission tomography (PET)/computed tomography (CT) imaging can cause significant image blurring and underestimation of tracer concentration for both static and dynamic studies. In this paper, with the aim to eliminate both intra-cycle and inter-cycle motions, and apply to dynamic imaging, we developed a non-rigid event-by-event (NR-EBE) respiratory motion-compens... View full abstract»

• ### A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy

Publication Year: 2018, Page(s):516 - 526
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The classification of blood vessels into arterioles and venules is a fundamental step in the automatic investigation of retinal biomarkers for systemic diseases. In this paper, we present a novel technique for vessel classification on ultra-wide-field-of-view images of the retinal fundus acquired with a scanning laser ophthalmoscope. To the best of our knowledge, this is the first time that a full... View full abstract»

• ### An EM Simulation-Based Design Flow for Custom-Built MR Coils Incorporating Signal and Noise

Publication Year: 2018, Page(s):527 - 535
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Developing custom-built MR coils is a cumbersome task, in which an a priori prediction of the coils’ SNR performance, their sensitivity pattern, and their depth of penetration helps to greatly speed up the design process by reducing the required hardware manufacturing iterations. The simulation-based design flow presented in this paper takes the entire MR imaging process in... View full abstract»

• ### Thermo-Acoustic Ultrasound for Detection of RF-Induced Device Lead Heating in MRI

Publication Year: 2018, Page(s):536 - 546
| |PDF (4195 KB) |  Media

Patients who have implanted medical devices with long conductive leads are often restricted from receiving MRI scans due to the danger of RF-induced heating near the lead tips. Phantom studies have shown that this heating varies significantly on a case-by-case basis, indicating that many patients with implanted devices can receive clinically useful MRI scans without harm. However, the difficulty o... View full abstract»

• ### Incorporation of Prior Knowledge of Signal Behavior Into the Reconstruction to Accelerate the Acquisition of Diffusion MRI Data

Publication Year: 2018, Page(s):547 - 556
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Diffusion MRI data are generally acquired using hyperpolarized gases during patient breath-hold, which yields a compromise between achievable image resolution, lung coverage, and number of $b$ -values. In this paper, we propose a novel method that accelerates the acquisition of diffusion MRI data by undersampling in both the s... View full abstract»

• ### On-the-Fly Adaptive ${k}$ -Space Sampling for Linear MRI Reconstruction Using Moment-Based Spectral Analysis

Publication Year: 2018, Page(s):557 - 567
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In high-dimensional magnetic resonance imaging applications, time-consuming, sequential acquisition of data samples in the spatial frequency domain ( ${k}$ -space) can often be accelerated by accounting for dependencies in linear reconstruction, at the cost of noise amplification that depends on the sampling pattern. Common exa... View full abstract»

• ### Cyclic Continuous Max-Flow: A Third Paradigm in Generating Local Phase Shift Maps in MRI

Publication Year: 2018, Page(s):568 - 579
| |PDF (30388 KB) |  Media

Sensitivity to phase deviations in MRI forms the basis of a variety of techniques, including magnetic susceptibility weighted imaging and chemical shift imaging. Current phase processing techniques fall into two families: those which process the complex image data with magnitude and phase coupled, and phase unwrapping-based techniques that first linearize the phase topology across the image. Howev... View full abstract»

• ### Multi-Scale Segmentation and Surface Fitting for Measuring 3-D Macular Holes

Publication Year: 2018, Page(s):580 - 589
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Macular holes are blinding conditions, where a hole develops in the central part of retina, resulting in reduced central vision. The prognosis and treatment options are related to a number of variables, including the macular hole size and shape. High-resolution spectral domain optical coherence tomography allows precise imaging of the macular hole geometry in three dimensions, but the measurement ... View full abstract»

## Aims & Scope

IEEE Transactions on Medical Imaging (T-MI) encourages the submission of manuscripts on imaging of body structure, morphology and function, including cell and molecular imaging and all forms of microscopy. The journal publishes original contributions on medical imaging achieved by modalities including ultrasound, x-rays, magnetic resonance, radionuclides, microwaves, and optical methods. Contributions describing novel acquisition techniques, medical image processing and analysis, visualization and performance, pattern recognition, machine learning, and related methods are encouraged. Studies involving highly technical perspectives are most welcome.

The focus of the journal is on unifying the sciences of medicine, biology, and imaging. It emphasizes the common ground where instrumentation, hardware, software, mathematics, physics, biology, and medicine interact through new analysis methods. Strong application papers that describe novel methods are particularly encouraged. Papers describing important applications based on medically adopted and/or established methods without significant innovation in methodology will be directed to other journals.

To qualify for publication, submitted manuscripts must be previously unpublished and must not be under consideration elsewhere. The Editor-in-Chief and an Associate Editor will perform a quick review of each manuscript to evaluate the manuscript in terms of novelty, quality and appropriateness and may return the manuscript immediately if it does not meet minimum standards of quality, originality, and scope. Manuscripts will ONLY be accepted in electronic format through ScholarOne Manuscripts. Please go to the ScholarOne Manuscripts website at http://mc.manuscriptcentral.com/tmi-ieee or to the TMI website http://www.ieee-tmi.org/ to find instructions to electronically submit your manuscript. Do not send original submissions or revisions directly to the Editor-in-Chief or Associate Editors.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Michael Insana
Beckman Institute for Advanced Science and Technology
Department of Bioengineering
University of Illinois at Urbana-Champaign
Urbana, IL 61801 USA
m.f.i@ieee.org