Abstract：
:We have developed a general-purpose registration algorithm for medical images and volumes. This method models the transformation between images as locally affine but globally smooth. The model also explicitly accounts for local and global variations in image intensities. This approach is built upon a differential multiscale framework, allowing us to capture both large- and small-scale transformations. We show that this approach is highly effective across a broad range of synthetic and clinical medical images.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Periaswamy S,Farid Hdoi
10.1109/TMI.2003.815069subject
Has Abstractpub_date
2003-07-01 00:00:00pages
865-74issue
7eissn
0278-0062issn
1558-254Xjournal_volume
22pub_type
杂志文章abstract：:Automatic and accurate classification of retinal optical coherence tomography (OCT) images is essential to assist ophthalmologist in the diagnosis and grading of macular diseases. Clinically, ophthalmologists usually diagnose macular diseases according to the structures of macular lesions, whose morphologies, size, an...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2019.2898414
更新日期：2019-08-01 00:00:00
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
更新日期：2004-02-01 00:00:00
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
更新日期：2009-07-01 00:00:00
abstract：:Cone beam X-ray luminescence computed tomography (CB-XLCT) is a promising imaging technique in studying the physiological and pathological processes in small animals. However, the dynamic bio-distributions of probes in small animal, especially in adjacent targets are still hard to be captured directly from dynamic CB-...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2019.2917026
更新日期：2019-12-01 00:00:00
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
更新日期：1996-01-01 00:00:00
abstract：:A true three-dimensional cone-beam reconstruction (TTCR) algorithm for direct volume image reconstruction from 2-D cone-beam projections is developed for the complete sphere geometry. The algorithm is derived from the parallel-beam true three-dimensional reconstruction (TTR) algorithm and is based on the modified filt...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.41483
更新日期：1989-01-01 00:00:00
abstract：:Motivated by the observation that the diagonal pattern of intensity nonuniformity usually associated with linearly polarized radio-frequency (RF) coils is often present in neurological scans using circularly polarized coils, a theoretical analysis has been conducted of the intensity nonuniformity inherent in imaging a...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.730409
更新日期：1998-08-01 00:00:00
abstract：: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 fram...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2017.2736423
更新日期：2018-02-01 00:00:00
abstract：:Over the years, medical image tracking has gained considerable attention from both medical and research communities due to its widespread utility in a multitude of clinical applications, from functional assessment during diagnosis and therapy planning to structure tracking or image fusion during image-guided intervent...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2018.2840820
更新日期：2018-11-01 00:00:00
abstract：:Computed tomography (CT) imaging is an essential tool in various clinical diagnoses and radiotherapy treatment planning. Since CT image intensities are directly related to positron emission tomography (PET) attenuation coefficients, they are indispensable for attenuation correction (AC) of the PET images. However, due...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2015.2461533
更新日期：2016-01-01 00:00:00
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
doi：10.1109/TMI.2006.889719
更新日期：2007-02-01 00:00:00
abstract：:To improve the quantitative accuracy of linear attenuation coefficients measured by computed tomography (CT), we used a single scatter model to estimate the Compton scatter distribution and then a polychromatic image reconstruction algorithm, namely the iterative maximum-likelihood polychromatic algorithm for CT (IMPA...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2015.2395438
更新日期：2015-06-01 00:00:00
abstract：:Cell segmentation and tracking in time-lapse fluorescence microscopy images is a task of fundamental importance in many biological studies on cell migration and proliferation. In recent years, level sets have been shown to provide a very appropriate framework for this purpose, as they are well suited to capture topolo...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2009.2038693
更新日期：2010-03-01 00:00:00
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
更新日期：2020-11-01 00:00:00
abstract：:Dynamic contrast-enhanced magnetic resonance (DCE-MR) imaging can be used to study microvascular structure in vivo by monitoring the abundance of an injected diffusible contrast agent over time. The resulting spatially resolved intensity-time curves are usually interpreted in terms of kinetic parameters obtained by fi...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2009.2019957
更新日期：2009-10-01 00:00:00
abstract：:Myocardial tissue characterization using ultrasound is a growing area of investigation which attempts to evaluate the structure of the myocardium by analysis of ultrasound signals. Our laboratory has been exploring the use of texture analysis for the determination of myocardial tissue properties from two-dimensional e...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.1985.4307721
更新日期：1985-01-01 00:00:00
abstract：:Accurate localization of the optic radiation is key to improving the surgical outcome for patients undergoing anterior temporal lobe resection for the treatment of refractory focal epilepsy. Current commercial interventional magnetic resonance imaging (MRI) scanners are capable of performing anatomical and diffusion w...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2011.2179668
更新日期：2012-04-01 00:00:00
abstract：:In this paper, we are interested in soft tissue differentiation by multiband images obtained from the High-Resolution Ultrasonic Transmission Tomography (HUTT) system using a spectral target detection method based on constrained energy minimization (CEM). We have developed a new tissue differentiation method (called "...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/tmi.2004.843179
更新日期：2005-03-01 00:00:00
abstract：:Groupwise nonrigid image registration is a powerful tool to automatically establish correspondences across sets of images. Such correspondences are widely used for constructing statistical models of shape and appearance. As existing techniques usually treat registration as an optimization problem, a good initializatio...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2011.2169077
更新日期：2012-02-01 00:00:00
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
更新日期：2014-07-01 00:00:00
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
更新日期：2017-05-01 00:00:00
abstract：:Most conventional spine interventions are performed under X-ray fluoroscopy guidance. In recent years, there has been a growing interest to develop nonionizing imaging alternatives to guide these procedures. Ultrasound guidance has emerged as a leading alternative. However, a challenging problem is automatic identific...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2014.2332571
更新日期：2014-11-01 00:00:00
abstract：:Accurate localization of anatomical landmarks is an important step in medical imaging, as it provides useful prior information for subsequent image analysis and acquisition methods. It is particularly useful for initialization of automatic image analysis tools (e.g. segmentation and registration) and detection of scan...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2016.2597270
更新日期：2017-01-01 00:00:00
abstract：:Generalized matrix inverses are used to estimate source activity distributions from single photon emission computed tomography (SPECT) projection measurements. Image reconstructions for a numerical simulation and a clinical brain study are examined. The photon flux from the source region and photon detection by the ga...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/42.141640
更新日期：1992-01-01 00:00:00
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
更新日期：2020-10-07 00:00:00
abstract：:Convolutional neural networks (CNNs) have recently been used in biomedical imaging applications with great success. In this paper, we investigated the classi?cation performance of CNN models on diffusion weighted imaging (DWI) streamlines de?ned by functional MRI (fMRI) and electrical stimulation mapping (ESM). To lea...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2019.2902073
更新日期：2019-02-27 00:00:00
abstract：:In radiology, as a result of the increased utilization of digital imaging modalities, such as computed tomography (CT) and magnetic resonance imaging (MRI), over a third of the images produced in a typical radiology department are currently in digital form, and this percentage is steadily increasing. Image compression...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.1986.4307750
更新日期：1986-01-01 00:00:00
abstract：:The presence of high-density objects remains an open problem in medical CT imaging. Data of projections passing through objects of high density, such as metal implants, are dominated by noise and are highly affected by beam hardening and scatter. Reconstructed images become less diagnostically conclusive because of pr...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2015.2459764
更新日期：2016-01-01 00:00:00
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
更新日期：2021-01-01 00:00:00
abstract：:A robust automated segmentation of abdominal organs can be crucial for computer aided diagnosis and laparoscopic surgery assistance. Many existing methods are specialized to the segmentation of individual organs and struggle to deal with the variability of the shape and position of abdominal organs. We present a gener...
journal_title：IEEE transactions on medical imaging
pub_type： 杂志文章
doi：10.1109/TMI.2013.2265805
更新日期：2013-09-01 00:00:00
