Evaluation of a Quantitative Method for Carpal Motion Analysis Using Clinical 3-D and 4-D CT Protocols.

Abstract:

:For wrist complaints related to motion, a 2-D radiograph or CT scan of the static wrist may not always be considered diagnostic. 3-D motion imaging, i.e., multiple 3DCT scans in time (4DCT), enables quantifying carpal motion and comparing motion patterns of the affected wrist with those of the healthy contralateral side. The accuracy and precision of the method, however, is limited by noise and motion artifacts. Although, the technique is considered promising in existing literature, the accuracy and precision of carpal motion analysis has never been investigated systematically. In this paper, we introduce and evaluate a semi-automatic segmentation- and registration-based method for 3-D carpal motion analysis. We investigate the accuracy and precision of the method, and its dependency on motion and scan parameters (angular velocity, dose, gantry revolution angle for image reconstruction, and scanner type) using a wrist phantom. During standstill the positioning error was ≤ 0.23 mm and ≤ 0.78°. A partial gantry revolution for 3-D reconstruction introduced image deformation, contributing to a positioning error of approx. 0.8 mm. This error increased with reduced dose, and with increasing angular velocity of the wrist phantom. In cases where the phantom was rotating about an axis parallel to the rotation axis of the gantry, and in a direction opposite to the gantry, the positioning error increased, probably because of the apparent increase in angular velocity with respect to the gantry. Slow carpal motion 4DCT analysis is feasible using a regular CT scanner. A partial gantry revolution angle for 3-D reconstruction may introduce image deformation, which decreases the accuracy of carpal motion analysis. Knowing the positioning error in 4DCT imaging with the proposed method is considered valuable when investigating wrist injury since it enables discrimination of actual motion from apparent motion caused by methodological error.

journal_name

IEEE Trans Med Imaging

authors

Dobbe JGG,de Roo MGA,Visschers JC,Strackee SD,Streekstra GJ

doi

10.1109/TMI.2018.2877503

subject

Has Abstract

pub_date

2019-04-01 00:00:00

pages

1048-1057

issue

4

eissn

0278-0062

issn

1558-254X

journal_volume

38

pub_type

杂志文章
  • 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

    doi:10.1109/TMI.2002.804429

    authors: Masood S,Gao J,Yang GZ

    更新日期:2002-09-01 00:00:00

  • Fast LV motion estimation using subspace approximation techniques.

    abstract::Cardiac motion estimation is very important in understanding cardiac dynamics and in noninvasive diagnosis of heart disease. Magnetic resonance (MR) imaging tagging is a technique for measuring heart deformations. In cardiac tagged MR images, a set of dark lines are noninvasively encoded within myocardial tissue provi...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.929616

    authors: Wang YP,Chen Y,Amini AA

    更新日期:2001-06-01 00:00:00

  • Clustered components analysis for functional MRI.

    abstract::A common method of increasing hemodynamic response (SNR) in functional magnetic resonance imaging (fMRI) is to average signal timecourses across voxels. This technique is potentially problematic because the hemodynamic response may vary across the brain. Such averaging may destroy significant features in the temporal ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2003.819922

    authors: Chen S,Bouman CA,Lowe MJ

    更新日期:2004-01-01 00:00:00

  • Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence.

    abstract::Adolescence is a transitional period between the childhood and adulthood with physical changes, as well as increasing emotional development. Studies have shown that the emotional sensitivity is related to a second period of rapid brain growth. However, there is little focus on the trend of brain development during thi...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2926667

    authors: Zhang A,Cai B,Hu W,Jia B,Liang F,Wilson TW,Stephen JM,Calhoun VD,Wang YP

    更新日期:2020-02-01 00:00:00

  • Flux-based anisotropic diffusion applied to enhancement of 3-D angiogram.

    abstract::We present a new approach to anisotropic diffusion based on a multidirectional diffusion flux. The diffusion flux is decomposed in an orthogonal basis, effectively enabling enhancement of contours as well as diffusion along the contours. To this end, we have selected a three-dimensional basis that depicts the directio...

    journal_title:IEEE transactions on medical imaging

    pub_type: 信件

    doi:10.1109/TMI.2002.806403

    authors: Krissian K

    更新日期:2002-11-01 00:00:00

  • An explanation of the effects of Squashing in limited angle tomography.

    abstract::The effects of Squashing, an algorithm introduced by J.A. Reeds and L.A. Shepp (see ibid., vol.MI-6, no.2, p.89-97, June 1987), are described. It is proven that Squashing induces a weight function upon the projections. Intuitive and numerical evidence is presented showing that this weight function is not desirable at ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.57761

    authors: Olson T,Jaffe JS

    更新日期:1990-01-01 00:00:00

  • Texture Feature Extraction and Analysis for Polyp Differentiation via Computed Tomography Colonography.

    abstract::Image textures in computed tomography colonography (CTC) have great potential for differentiating non-neoplastic from neoplastic polyps and thus can advance the current CTC detection-only paradigm to a new level with diagnostic capability. However, image textures are frequently compromised, particularly in low-dose CT...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2016.2518958

    authors: Hu Y,Liang Z,Song B,Han H,Pickhardt PJ,Zhu W,Duan C,Zhang H,Barish MA,Lascarides CE

    更新日期:2016-06-01 00:00:00

  • Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery using Diffusion Tractography and Convolutional Neural Networks.

    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

    authors: Xu H,Dong M,Lee MH,OrHara N,Asano E,Jeong JW

    更新日期:2019-02-27 00:00:00

  • PET Image Reconstruction Using Deep Image Prior.

    abstract::Recently, deep neural networks have been widely and successfully applied in computer vision tasks and have attracted growing interest in medical imaging. One barrier for the application of deep neural networks to medical imaging is the need for large amounts of prior training pairs, which is not always feasible in cli...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2888491

    authors: Gong K,Catana C,Qi J,Li Q

    更新日期:2019-07-01 00:00:00

  • Establishment of an Automated Algorithm Utilizing Optical Coherence Tomography and Micro-Computed Tomography Imaging to Reconstruct the 3-D Deformed Stent Geometry.

    abstract::Percutaneous coronary intervention (PCI) is the prevalent treatment for coronary artery disease, with hundreds of thousands of stents implanted annually. Computational studies have demonstrated the role of biomechanics in the failure of vascular stents, but clinical studies is this area are limited by a lack of unders...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2870714

    authors: Elliott MR,Kim D,Molony DS,Morris L,Samady H,Joshi S,Timmins LH

    更新日期:2019-03-01 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

    doi:10.1109/42.938237

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

    更新日期:2001-08-01 00:00:00

  • Co-registration of white matter tractographies by adaptive-mean-shift and Gaussian mixture modeling.

    abstract::In this paper, we present a robust approach to the registration of white matter tractographies extracted from diffusion tensor-magnetic resonance imaging scans. The fibers are projected into a high dimensional feature space based on the sequence of their 3-D coordinates. Adaptive mean-shift clustering is applied to ex...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2009.2029097

    authors: Zvitia O,Mayer A,Shadmi R,Miron S,Greenspan HK

    更新日期:2010-01-01 00:00:00

  • A Krasnoselskii-Mann Algorithm With an Improved EM Preconditioner for PET Image Reconstruction.

    abstract::This paper presents a preconditioned Krasnoselskii-Mann (KM) algorithm with an improved EM preconditioner (IEM-PKMA) for higher-order total variation (HOTV) regularized positron emission tomography (PET) image reconstruction. The PET reconstruction problem can be formulated as a three-term convex optimization model co...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2898271

    authors: Lin Y,Schmidtlein CR,Li Q,Li S,Xu Y

    更新日期:2019-09-01 00:00:00

  • In situ characterization of the degradation of PLGA microspheres in hyaluronic acid hydrogels by optical coherence tomography.

    abstract::The polymeric implant material poly(lactide-co-glycolide) (PLGA) degrades by a process of bulk degradation, which allows it to be used for the controlled release of therapeutic molecules from implants and microspheres. The temporal characterization of PLGA microsphere degradation has been limited by the need to destru...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2008.927356

    authors: Patterson J,Stayton PS,Li X

    更新日期:2009-01-01 00:00:00

  • Sparse-view spectral CT reconstruction using spectral patch-based low-rank penalty.

    abstract::Spectral computed tomography (CT) is a promising technique with the potential for improving lesion detection, tissue characterization, and material decomposition. In this paper, we are interested in kVp switching-based spectral CT that alternates distinct kVp X-ray transmissions during gantry rotation. This system can...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2014.2380993

    authors: Kim K,Ye JC,Worstell W,Ouyang J,Rakvongthai Y,El Fakhri G,Li Q

    更新日期:2015-03-01 00:00:00

  • MRI pulse sequence design with first-order gradient moment nulling in arbitrary directions by solving a polynomial program.

    abstract::We suggest a polynomial program for the calculation of optimized gradient waveforms for magnetic resonance tomography pulse sequences. Such non-linear mathematical programs can describe gradient system capabilities, meet k-space trajectory specifications, and capture sequence timing conditions. Moreover they allow the...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2010.2042723

    authors: Majewski K,Heid O,Kluge T

    更新日期:2010-06-01 00:00:00

  • Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis.

    abstract::The quantitative analysis of magnetic resonance imaging (MRI) data has become increasingly important in both research and clinical studies aiming at human brain development, function, and pathology. Inevitably, the role of quantitative image analysis in the evaluation of drug therapy will increase, driven in part by r...

    journal_title:IEEE transactions on medical imaging

    pub_type: 临床试验,杂志文章

    doi:10.1109/TMI.2002.806283

    authors: Zijdenbos AP,Forghani R,Evans AC

    更新日期:2002-10-01 00:00:00

  • A methodology for evaluation of boundary detection algorithms on medical images.

    abstract::Image segmentation is the partition of an image into a set of nonoverlapping regions whose union is the entire image. The image is decomposed into meaningful parts which are uniform with respect to certain characteristics, such as gray level or texture. In this paper, we propose a methodology for evaluating medical im...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.640755

    authors: Chalana V,Kim Y

    更新日期:1997-10-01 00:00:00

  • Deep Geodesic Learning for Segmentation and Anatomical Landmarking.

    abstract::In this paper, we propose a novel deep learning framework for anatomy segmentation and automatic landmarking. Specifically, we focus on the challenging problem of mandible segmentation from cone-beam computed tomography (CBCT) scans and identification of 9 anatomical landmarks of the mandible on the geodesic space. Th...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2018.2875814

    authors: Torosdagli N,Liberton DK,Verma P,Sincan M,Lee JS,Bagci U

    更新日期:2019-04-01 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

  • Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation.

    abstract::We propose a new spatio-temporal elastic registration algorithm for motion reconstruction from a series of images. The specific application is to estimate displacement fields from two-dimensional ultrasound sequences of the heart. The basic idea is to find a spatio-temporal deformation field that effectively compensat...

    journal_title:IEEE transactions on medical imaging

    pub_type: 临床试验,杂志文章

    doi:10.1109/TMI.2005.852050

    authors: Ledesma-Carbayo MJ,Kybic J,Desco M,Santos A,Sühling M,Hunziker P,Unser M

    更新日期:2005-09-01 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

  • Shielded microstrip array for 7T human MR imaging.

    abstract::The high-frequency transceiver array based on the microstrip transmission line design is a promising technique for ultrahigh field magnetic resonance imaging (MRI) signal excitation and reception. However, with the increase of radio-frequency (RF) channels, the size of the ground plane in each microstrip coil element ...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2009.2033597

    authors: Wu B,Wang C,Kelley DA,Xu D,Vigneron DB,Nelson SJ,Zhang X

    更新日期:2010-01-01 00:00:00

  • A row-action alternative to the EM algorithm for maximizing likelihood in emission tomography.

    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

    authors: Browne J,de Pierro AB

    更新日期:1996-01-01 00:00:00

  • Exact radon rebinning algorithm for the long object problem in helical cone-beam CT.

    abstract::This paper addresses the long object problem in helical cone-beam computed tomography. We present the PHI-method, a new algorithm for the exact reconstruction of a region-of-interest (ROI) of a long object from axially truncated data extending only slightly beyond the ROI. The PHI-method is an extension of the Radon-m...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.870247

    authors: Schaller S,Sauer F,Tam KC,Lauritsch G,Flohr T

    更新日期:2000-05-01 00:00:00

  • Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.

    abstract::Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and diagnosis. Recently, convolutional neural networks demonstrate promising progress in the joint OD and OC segmentation. However, affected by t...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2019.2899910

    authors: Wang S,Yu L,Yang X,Fu CW,Heng PA

    更新日期:2019-11-01 00:00:00

  • Algebraic reconstruction for magnetic resonance imaging under B0 inhomogeneity.

    abstract::In magnetic resonance imaging, spatial localization is usually achieved using Fourier encoding which is realized by applying a magnetic field gradient along the dimension of interest to create a linear correspondence between the resonance frequency and spatial location following the Larmor equation. In the presence of...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/42.712126

    authors: Kadah YM,Hu X

    更新日期:1998-06-01 00:00:00

  • Spatio-Temporal Tensor Decomposition of a Polyaffine Motion Model for a Better Analysis of Pathological Left Ventricular Dynamics.

    abstract::Given that heart disease can cause abnormal motion dynamics over the cardiac cycle, understanding and quantifying cardiac motion can provide insight for clinicians to aid with diagnosis, therapy planning, and determining prognosis. The goal of this paper is to extract population-specific motion patterns from 3D displa...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2015.2405579

    authors: McLeod K,Sermesant M,Beerbaum P,Pennec X

    更新日期:2015-07-01 00:00:00

  • Computer-aided stereotactic functional neurosurgery enhanced by the use of the multiple brain atlas database.

    abstract::This paper introduces a computer-aided atlas-based functional neurosurgery methodology and describes NeuroPlanner, a software system which supports it. NeuroPlanner provides four groups of functions: 1) data-related for data reading, interpolation, reformatting, and image processing; 2) atlas-related for multiple atla...

    journal_title:IEEE transactions on medical imaging

    pub_type: 信件

    doi:10.1109/42.832961

    authors: Nowinski WL,Yang GL,Yeo TT

    更新日期:2000-01-01 00:00:00

  • Estimation of Strain Elastography from Ultrasound Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric.

    abstract::Most strain imaging techniques follow a pipeline strategy: in the first step, tissue displacement is estimated from radio-frequency (RF) frames, and in the second step, a spatial derivative operation is applied. There are two main issues that arise from this framework. First, the gradient operation amplifies noise, an...

    journal_title:IEEE transactions on medical imaging

    pub_type: 杂志文章

    doi:10.1109/TMI.2017.2685522

    authors: Omidyeganeh M,Xiao Y,Ahmad MO,Rivaz H

    更新日期:2017-06-01 00:00:00