Abstract:
:Fine-featured elastograms may provide additional information of radiological interest in the context of in vivo elastography. Here a new image processing pipeline called ESP (Elastography Software Pipeline) is developed to create Magnetic Resonance Elastography (MRE) maps of viscoelastic parameters (complex modulus magnitude |G*| and loss angle ϕ) that preserve fine-scale information through nonlinear, multi-scale extensions of typical MRE post-processing techniques. METHODS:A new MRE image processing pipeline was developed that incorporates wavelet-domain denoising, image-driven noise estimation, and feature detection. ESP was first validated using simulated data, including viscoelastic Finite Element Method (FEM) simulations, at multiple noise levels. ESP images were compared with MDEV pipeline images, both in the FEM models and in three ten-subject cohorts of brain, thigh, and liver acquisitions. ESP and MDEV mean values were compared to 2D local frequency estimation (LFE) mean values for the same cohorts as a benchmark. Finally, the proportion of spectral energy at fine frequencies was quantified using the Reduced Energy Ratio (RER) for both ESP and MDEV. RESULTS:Blind estimates of added noise (σ) were within 5.3% ± 2.6% of prescribed, and the same technique estimated σ in the in vivo cohorts at 1.7 ± 0.8%. A 5 × 5 × 5 truncated Gabor filter bank effectively detects local spatial frequencies at wavelengths λ ≤ 10px. For FEM inversions, mean |G*| of hard target, soft target, and background remained within 8% of prescribed up to σ=20%, and mean ϕ results were within 10%, excepting hard target ϕ, which required redrawing around a ring artefact to achieve similar accuracy. Inspection of FEM |G*| images showed some spatial distortion around hard target boundaries and inspection of ϕ images showed ring artefacts around the same target. For the in vivo cohorts, ESP results showed mean correlation of R=0.83 with MDEV and liver stiffness estimates within 7% of 2D-LFE results. Finally, ESP showed statistically significant increase in fine feature spectral energy as measured with RER for both |G*| (p<1×10-9) and ϕ (p<1×10-3). CONCLUSION:Information at finer frequencies can be recovered in ESP elastograms in typical experimental conditions, however scatter- and boundary-related artefacts may cause the fine features to have inaccurate values. In in vivo cohorts, ESP delivers an increase in fine feature spectral energy, and better performance with longer wavelengths, than MDEV while showing similar stability and robustness.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Barnhill E,Hollis L,Sack I,Braun J,Hoskins PR,Pankaj P,Brown C,van Beek EJR,Roberts Ndoi
10.1016/j.media.2016.05.012subject
Has Abstractpub_date
2017-01-01 00:00:00pages
133-145eissn
1361-8415issn
1361-8423pii
S1361-8415(16)30041-Xjournal_volume
35pub_type
杂志文章abstract::This paper presents a robust algorithm for calibration and system registration of endoscopic imaging devices. The system registration allows us to map accurately each point in the world coordinate system into the endoscope image and vice versa to obtain the world line of sight for each image pixel. The key point of ou...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2007.04.006
更新日期:2007-12-01 00:00:00
abstract::The Cartesian parallel magnetic imaging problem is formulated variationally using a high-order penalty for coil sensitivities and a total variation like penalty for the reconstructed image. Then the optimality system is derived and numerically discretized. The objective function used is non-convex, but it possesses a ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2011.07.002
更新日期:2012-01-01 00:00:00
abstract::Prostate brachytherapy is a treatment for prostate cancer using radioactive seeds that are permanently implanted in the prostate. The treatment success depends on adequate coverage of the target gland with a therapeutic dose, while sparing the surrounding tissue. Since seed implantation is performed under transrectal ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2012.06.001
更新日期:2012-10-01 00:00:00
abstract::Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences is an essential preprocessing step for a wide range of analyses. Variability in contrast, appearance, orientation, and placement of the heart between patients, clinical...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2018.05.008
更新日期:2018-08-01 00:00:00
abstract::The Insight Toolkit (ITK) initiative from the National Library of Medicine has provided a suite of state-of-the-art segmentation and registration algorithms ideally suited to volume visualization and analysis. A volume visualization application that effectively utilizes these algorithms provides many benefits: it allo...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2005.04.009
更新日期:2005-12-01 00:00:00
abstract::In prostate cancer radiotherapy, computed tomography (CT) is widely used for dose planning purposes. However, because CT has low soft tissue contrast, it makes manual contouring difficult for major pelvic organs. In contrast, magnetic resonance imaging (MRI) provides high soft tissue contrast, which makes it ideal for...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2017.05.004
更新日期:2017-10-01 00:00:00
abstract::Three-dimensional (3D) freehand ultrasound uses the acquisition of non-parallel B-scans localized in 3D by a tracking system (optic, mechanical or magnetic). Using the positions of the irregularly spaced B-scans, a regular 3D lattice volume can be reconstructed, to which conventional 3D computer vision algorithms (reg...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2007.05.002
更新日期:2007-12-01 00:00:00
abstract::Diffusion magnetic resonance imaging (dMRI) offers a unique tool for noninvasively assessing tissue microstructure. However, accurate estimation of tissue microstructure described by complicated signal models can be challenging when a reduced number of diffusion gradients are used. Deep learning based microstructure e...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.04.006
更新日期:2019-07-01 00:00:00
abstract::Automated quantitative estimation of spinal curvature is an important task for the ongoing evaluation and treatment planning of Adolescent Idiopathic Scoliosis (AIS). It solves the widely accepted disadvantage of manual Cobb angle measurement (time-consuming and unreliable) which is currently the gold standard for AIS...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2018.05.005
更新日期:2018-08-01 00:00:00
abstract::This paper presents a new approach to the simulation of soft tissues deformation suitable for real time computation, particularly intriguing for medical applications. The approach implements a quasi-static solution for elastic global deformations of objects filled with fluid and fibers, which can be a good approximati...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2012.04.002
更新日期:2012-07-01 00:00:00
abstract::Although there are many algorithms available in the literature aimed at segmentation and model reconstruction of 3D angiographic images, many are focused on characterizing only a part of the vascular network. This study is motivated by the recent emerging prospects of whole-organ simulations in coronary hemodynamics, ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2007.06.012
更新日期:2007-12-01 00:00:00
abstract::We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid in medical fields. In the proposed system, images are indexed in a generic fashion, without extracting domain-specific features: a signature is built for each image from its wavelet transform. These image signatures characterize...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2009.11.004
更新日期:2010-04-01 00:00:00
abstract::Accurate automated segmentation and detection of ovarian cancer metastases may improve the diagnosis and prognosis of women with ovarian cancer. In this paper, we focus on an important subset of ovarian cancer metastases that spread to the surface of the liver and spleen. Automated ovarian cancer metastasis detection ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.04.001
更新日期:2014-07-01 00:00:00
abstract::Biophysical models of the atrium provide a physically constrained framework for describing the current state of an atrium and allow predictions of how that atrium will respond to therapy. We propose a work flow to simulate patient specific electrophysiological heterogeneity from clinical data and validate the resultin...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2018.04.005
更新日期:2018-07-01 00:00:00
abstract::Label fusion is a critical step in many image segmentation frameworks (e.g., multi-atlas segmentation) as it provides a mechanism for generalizing a collection of labeled examples into a single estimate of the underlying segmentation. In the multi-label case, typical label fusion algorithms treat all labels equally - ...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.06.005
更新日期:2014-10-01 00:00:00
abstract::Phase contrast, a noninvasive microscopy imaging technique, is widely used to capture time-lapse images to monitor the behavior of transparent cells without staining or altering them. Due to the optical principle, phase contrast microscopy images contain artifacts such as the halo and shade-off that hinder image segme...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2011.12.006
更新日期:2012-07-01 00:00:00
abstract::The ability to predict patient-specific soft tissue deformations is key for computer-integrated surgery systems and the core enabling technology for a new era of personalized medicine. Element-Free Galerkin (EFG) methods are better suited for solving soft tissue deformation problems than the finite element method (FEM...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.06.004
更新日期:2019-08-01 00:00:00
abstract::Image-based parcellation of the brain often leads to multiple disconnected anatomical structures, which pose significant challenges for analyses of morphological shapes. Existing shape models, such as the widely used spherical harmonic (SPHARM) representation, assume topological invariance, so are unable to simultaneo...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.02.004
更新日期:2015-05-01 00:00:00
abstract::The incorporation of intensity, spatial, and topological information into large-scale multi-region segmentation has been a topic of ongoing research in medical image analysis. Multi-region segmentation problems, such as segmentation of brain structures, pose unique challenges in image segmentation in which regions may...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.05.005
更新日期:2016-01-01 00:00:00
abstract::Discrete optimisation strategies have a number of advantages over their continuous counterparts for deformable registration of medical images. For example: it is not necessary to compute derivatives of the similarity term; dense sampling of the search space reduces the risk of becoming trapped in local optima; and (in...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.09.005
更新日期:2016-01-01 00:00:00
abstract::Accurate ventricular volume measurements are the primary indicators of normal/abnor- mal cardiac function and are dependent on the Cardiac Magnetic Resonance (CMR) volumes being complete. However, missing or unusable slices owing to the presence of image artefacts such as respiratory or motion ghosting, aliasing, ring...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101812
更新日期:2021-01-01 00:00:00
abstract::Retinal images are routinely acquired and assessed to provide diagnostic evidence for many important diseases, e.g. diabetes or hypertension. Because of the acquisition process, very often these images are non-uniformly illuminated and exhibit local luminosity and contrast variability. This problem may seriously affec...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2004.07.001
更新日期:2005-06-01 00:00:00
abstract::Accurate and robust segmentation of abdominal organs on CT is essential for many clinical applications such as computer-aided diagnosis and computer-aided surgery. But this task is challenging due to the weak boundaries of organs, the complexity of the background, and the variable sizes of different organs. To address...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.04.005
更新日期:2019-07-01 00:00:00
abstract::We present hierarchical spherical deformation for a group-wise shape correspondence to address template selection bias and to minimize registration distortion. In this work, we aim at a continuous and smooth deformation field to guide accurate cortical surface registration. In conventional spherical registration metho...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.06.013
更新日期:2019-10-01 00:00:00
abstract::Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other. In this paper, we introduce a geometric, variational framework that uses active contours to simultaneously segment and register feature...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/s1361-8415(03)00004-5
更新日期:2003-06-01 00:00:00
abstract::The whole slide histopathology images (WSIs) play a critical role in gastric cancer diagnosis. However, due to the large scale of WSIs and various sizes of the abnormal area, how to select informative regions and analyze them are quite challenging during the automatic diagnosis process. The multi-instance learning bas...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.101549
更新日期:2019-12-01 00:00:00
abstract::A probabilistic framework for registering generalised point sets comprising multiple voxel-wise data features such as positions, orientations and scalar-valued quantities, is proposed. It is employed for the analysis of magnetic resonance diffusion tensor image (DTI)-derived quantities, such as fractional anisotropy (...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2019.01.001
更新日期:2019-04-01 00:00:00
abstract::Registration plays an important role in group analysis of diffusion-weighted imaging (DWI) data. It can be used to build a reference anatomy for investigating structural variation or tracking changes in white matter. Unlike traditional scalar image registration where spatial alignment is the only focus, registration o...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2014.06.012
更新日期:2014-12-01 00:00:00
abstract::The goal of this study is to provide a theoretical framework for accurately optimizing the segmentation energy considering all of the possible shapes generated from the level-set-based statistical shape model (SSM). The proposed algorithm solves the well-known open problem, in which a shape prior may not be optimal in...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2015.11.003
更新日期:2016-02-01 00:00:00
abstract::Deep learning-based systems can achieve a diagnostic performance comparable to physicians in a variety of medical use cases including the diagnosis of diabetic retinopathy. To be useful in clinical practice, it is necessary to have well calibrated measures of the uncertainty with which these systems report their decis...
journal_title:Medical image analysis
pub_type: 杂志文章
doi:10.1016/j.media.2020.101724
更新日期:2020-08-01 00:00:00