听力与言语-语言病理学

行为科学

医学伦理学

你正在浏览IEEE TRANSACTIONS ON MEDICAL IMAGING期刊下所有文献
  • Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks.

    abstract::Anisotropic multi-slice Cardiac Magnetic Resonance (CMR) Images are conventionally acquired in patient-specific short-axis (SAX) orientation. In specific cardiovascular diseases that affect right ventricular (RV) morphology, acquisitions in standard axial (AX) orientation are preferred by some investigators, due to po...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2021.3052972

    authors: Koehler S,Hussain T,Blair Z,Huffaker T,Ritzmann F,Tandon A,Pickardt T,Sarikouch S,Sarikouch S,Latus H,Greil G,Wolf I,Engelhardt S

    更新日期:2021-01-20 00:00:00

  • Strain Energy Decay Predicts Elastic Registration Accuracy from Intraoperative Data Constraints.

    abstract::Image-guided intervention for soft tissue organs depends on the accuracy of deformable registration methods to achieve effective results. While registration techniques based on elastic theory are prevalent, no methods yet exist that can prospectively estimate registration uncertainty to regulate sources and mitigate c...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2021.3052523

    authors: Heiselman JS,Miga MI

    更新日期:2021-01-18 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

  • Separation of Metabolites and Macromolecules for Short-TE 1H-MRSI Using Learned Component-Specific Representations.

    abstract::Short-echo-time (TE) proton magnetic resonance spectroscopic imaging (MRSI) allows for simultaneously mapping a number of molecules in the brain, and has been recognized as an important tool for studying in vivo biochemistry in various neuroscience and disease applications. However, separation of the metabolite and ma...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3048933

    authors: Li Y,Wang Z,Sun R,Lam F

    更新日期:2021-01-04 00:00:00

  • DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant Tumors.

    abstract::The most frequent extracranial solid tumors of childhood, named peripheral neuroblastic tumors (pNTs), are very challenging to diagnose due to their diversified categories and varying forms. Auxiliary diagnosis methods of such pediatric malignant cancers are highly needed to provide pathologists assistance and reduce ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3027547

    authors: Liu Y,Yin M,Sun S

    更新日期:2021-01-01 00:00:00

  • Improving Blood Vessel Tortuosity Measurements via Highly Sampled Numerical Integration of the Frenet-Serret Equations.

    abstract::Measures of vascular tortuosity-how curved and twisted a vessel is-are associated with a variety of vascular diseases. Consequently, measurements of vessel tortuosity that are accurate and comparable across modality, resolution, and size are greatly needed. Yet in practice, precise and consistent measurements are prob...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3025467

    authors: Brummer AB,Hunt D,Savage V

    更新日期:2021-01-01 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

  • Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs.

    abstract::Most existing CNNs-based segmentation methods rely on local appearances learned on the regular image grid, without consideration of the object global information. This article aims to embed the object global geometric information into a learning framework via the classical geodesic active contours (GAC). We propose a ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3022693

    authors: Ma J,He J,Yang X

    更新日期:2021-01-01 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

  • Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images.

    abstract::Cell or nucleus detection is a fundamental task in microscopy image analysis and has recently achieved state-of-the-art performance by using deep neural networks. However, training supervised deep models such as convolutional neural networks (CNNs) usually requires sufficient annotated image data, which is prohibitive...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3042789

    authors: Xing F,Cornish TC,Bennett TD,Ghosh D

    更新日期:2020-12-07 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

  • Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.

    abstract::The automatic diagnosis of various retinal diseases from fundus images is important to support clinical decision-making. However, developing such automatic solutions is challenging due to the requirement of a large amount of human-annotated data. Recently, unsupervised/self-supervised feature learning techniques recei...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3008871

    authors: Li X,Jia M,Islam MT,Yu L,Xing L

    更新日期:2020-12-01 00:00:00

  • Amplified Flow Imaging (aFlow): A Novel MRI-Based Tool to Unravel the Coupled Dynamics Between the Human Brain and Cerebrovasculature.

    abstract::With each heartbeat, periodic variations in arterial blood pressure are transmitted along the vasculature, resulting in localized deformations of the arterial wall and its surrounding tissue. Quantification of such motions may help understand various cerebrovascular conditions, yet it has proven technically challengin...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3012932

    authors: Abderezaei J,Martinez J,Terem I,Fabris G,Pionteck A,Yang Y,Holdsworth SJ,Nael K,Kurt M

    更新日期:2020-12-01 00:00:00

  • Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN.

    abstract::Synthesizing a CT image from an available MR image has recently emerged as a key goal in radiotherapy treatment planning for cancer patients. CycleGANs have achieved promising results on unsupervised MR-to-CT image synthesis; however, because they have no direct constraints between input and synthetic images, cycleGAN...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3015379

    authors: Yang H,Sun J,Carass A,Zhao C,Lee J,Prince JL,Xu Z

    更新日期:2020-12-01 00:00:00

  • Investigation of Axial and Angular Sampling in Multi-Detector Pinhole-SPECT Brain Imaging.

    abstract::We designed a dedicated multi-detector multi-pinhole brain SPECT scanner to generate images of higher quality compared to general-purpose systems. The system, AdaptiSPECT-C, is intended to adapt its sensitivity-resolution trade-off by varying its aperture configurations allowing both high-sensitivity dynamic and high-...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3015079

    authors: Zeraatkar N,Kalluri KS,Auer B,Konik A,Fromme TJ,Furenlid LR,Kuo PH,King MA

    更新日期:2020-12-01 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

  • 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

  • Repeatability of linear and nonlinear elastic modulus maps from repeat scans in the breast.

    abstract::Compression elastography allows the precise measurement of large deformations of soft tissue in vivo. From an image sequence showing tissue undergoing large deformation, an inverse problem for both the linear and nonlinear elastic moduli distributions can be solved. As part of a larger clinical study to evaluate nonli...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3036032

    authors: Gendin DI,Nayak R,Wang Y,Bayat M,Fazzio RT,Oberai AA,Hall TJ,Barbone PE,Alizad A,Fatemi M

    更新日期:2020-11-05 00:00:00

  • CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

    abstract::Accurate medical image segmentation is essential for diagnosis and treatment planning of diseases. Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they are still challenged by complicated conditions where the segmentation target has lar...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3035253

    authors: Gu R,Wang G,Song T,Huang R,Aertsen M,Deprest J,Ourselin S,Vercauteren T,Zhang S

    更新日期:2020-11-02 00:00:00

  • Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network.

    abstract::Image reconstruction in low-count PET is particularly challenging because gammas from natural radioactivity in Lu-based crystals cause high random fractions that lower the measurement signal-to-noise-ratio (SNR). In model-based image reconstruction (MBIR), using more iterations of an unregularized method may increase ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.2998480

    authors: Lim H,Chun IY,Dewaraja YK,Fessler JA

    更新日期:2020-11-01 00:00:00

  • MDM-PCCT: Multiple Dynamic Modulations for High-Performance Spectral PCCT Imaging.

    abstract::Photon counting computed tomography (PCCT) has the ability to identify individual photons, resulting in quantitative material identification. Meanwhile, several technical challenges still exist in current PCCT imaging systems, including increased noise and suboptimal bin selection. These nonideal effects can substanti...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3001616

    authors: Li D,Zeng D,Li S,Ge Y,Bian Z,Huang J,Ma J

    更新日期:2020-11-01 00:00:00

  • Quantification of Wave Reflection in the Human Umbilical Artery From Asynchronous Doppler Ultrasound Measurements.

    abstract::Elevated umbilical artery pulsatility is a widely used biomarker for placental pathology leading to intra-uterine growth restriction and, in severe cases, still-birth. It has been hypothesized that placental pathology modifies umbilical artery pulsatility by altering the degree to which the pulse pressure wave, which ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3004511

    authors: Stortz G,Cahill LS,Chandran AR,Baschat A,Sled JG,Macgowan CK

    更新日期:2020-11-01 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

    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

  • Cap-Based Transcranial Optical Tomography in an Awake Infant.

    abstract::Although Blood Oxygenation Level Dependent (BOLD) functional MRI (fMRI) is widely used to examine brain function in adults, the need for general anesthesia limits its practical utility in infants and small children. Functional Near-Infrared Spectroscopy - Diffuse Optical Tomography (fNIRS-DOT) imaging promises to be a...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.2990823

    authors: Zhu B,Sevick-Muraca EM,Nguyen RD,Shah MN

    更新日期:2020-11-01 00:00:00

  • Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images.

    abstract::Cervical cancer causes the fourth most cancer-related deaths of women worldwide. Early detection of cervical intraepithelial neoplasia (CIN) can significantly increase the survival rate of patients. In this paper, we propose a deep learning framework for the accurate identification of LSIL+ (including CIN and cervical...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.2994778

    authors: Li Y,Chen J,Xue P,Tang C,Chang J,Chu C,Ma K,Li Q,Zheng Y,Qiao Y

    更新日期:2020-11-01 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

  • Bayesian approach for a robust speed-of-sound reconstruction using pulse-echo ultrasound.

    abstract::Computed ultrasound tomography in echo mode (CUTE) is a promising ultrasound (US) based multi-modal technique that allows to image the spatial distribution of speed of sound (SoS) inside tissue using hand-held pulse-echo US. It is based on measuring the phase shift of echoes when detected under varying steering angles...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.3029286

    authors: Stahli PS,Frenz M,Jaeger M

    更新日期:2020-10-07 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

    doi:10.1109/TMI.2020.2974844

    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

  • 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

  • An Enhanced SMART-RECON Algorithm for Time-Resolved C-Arm Cone-Beam CT Imaging.

    abstract::Temporal resolution in time-resolved cone-beam CT (TR-CBCT) imaging is often limited by the time needed to acquire a complete data set for image reconstruction. With the recent developments of performing nearly limited-view artifact-free reconstruction from data in a limited-view angle range and a prior image, tempora...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2960720

    authors: Li Y,Garrett JW,Li K,Strother C,Chen GH

    更新日期:2020-06-01 00:00:00

  • EMS-Net: A Deep Learning Method for Autodetecting Epileptic Magnetoencephalography Spikes.

    abstract::Epilepsy is a neurological disorder characterized by sudden and unpredictable epileptic seizures, which incurs significant negative impacts on patients' physical, psychological and social health. A practical approach to assist with the clinical assessment and treatment planning for patients is to process magnetoenceph...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2958699

    authors: Zheng L,Liao P,Luo S,Sheng J,Teng P,Luan G,Gao JH

    更新日期:2020-06-01 00:00:00

  • NIR-II/NIR-I Fluorescence Molecular Tomography of Heterogeneous Mice Based on Gaussian Weighted Neighborhood Fused Lasso Method.

    abstract::Fluorescence molecular tomography (FMT), which can visualize the distribution of fluorescence biomarkers, has become a novel three-dimensional noninvasive imaging technique for in vivo studies such as tumor detection and lymph node location. However, it remains a challenging problem to achieve satisfactory reconstruct...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2020.2964853

    authors: Cai M,Zhang Z,Shi X,Hu Z,Tian J

    更新日期:2020-06-01 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

  • Difference-Frequency Ultrasound Imaging With Non-Linear Contrast.

    abstract::Conventional ultrasound imaging is based on the scattering of sound from inhomogeneities in the density and the speed of sound and is often used in medicine to resolve pathologic compared to normal tissue. Here we demonstrate a difference-frequency ultrasound (dfUS) imaging method that is based on the interaction of t...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2957280

    authors: Li Y,Polyak D,Johnson E,Yecies D,Shevidi S,de la Zerda A,Gephart MH,Chu S

    更新日期:2020-05-01 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

    doi:10.1109/TMI.2019.2948258

    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

  • 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

  • Head Motion Correction Based on Filtered Backprojection in Helical CT Scanning.

    abstract::Head motion may unexpectedly occur during a CT scan. It thereby results in motion artifacts in a reconstructed image and may lead to a false diagnosis or a failure of diagnosis. To alleviate this motion problem, as a hardware approach, increasing the gantry rotation speed or using an immobilization device is usually c...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2953974

    authors: Jang S,Kim S,Kim M,Son K,Lee KY,Ra JB

    更新日期:2020-05-01 00:00:00

  • Revealing the Microscopic Structure of Human Renal Cell Carcinoma in Three Dimensions.

    abstract::For fully characterizing renal cell carcinoma (RCC), information about the 3D tissue microstructure is essential. Histopathology, which represents the current diagnostic gold standard, is destructive and only provides 2D information. 3D X-ray histology endeavors to overcome these limitations by generating 3D data. In ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2952028

    authors: Ferstl S,Busse M,Muller M,Kimm MA,Drecoll E,Burkner T,Allner S,Dierolf M,Pfeiffer D,Rummeny EJ,Weichert W,Pfeiffer F

    更新日期:2020-05-01 00:00:00

  • Lung 4D CT Image Registration Based on High-Order Markov Random Field.

    abstract::To solve the problem that traditional image registration methods based on continuous optimization for large motion lung 4D CT image sequences are easy to fall into local optimal solutions and lead to serious misregistration, a novel image registration method based on high-order Markov Random Field (MRF) is proposed. B...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2937458

    authors: Xue P,Dong E,Ji H

    更新日期:2020-04-01 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

    doi:10.1109/TMI.2019.2942194

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

    更新日期:2020-04-01 00:00:00

511 条记录 1/13 页 « 12345678...1213 »