Respiratory motion models: a review.

Abstract:

:The problem of respiratory motion has proved a serious obstacle in developing techniques to acquire images or guide interventions in abdominal and thoracic organs. Motion models offer a possible solution to these problems, and as a result the field of respiratory motion modelling has become an active one over the past 15 years. A motion model can be defined as a process that takes some surrogate data as input and produces a motion estimate as output. Many techniques have been proposed in the literature, differing in the data used to form the models, the type of model employed, how this model is computed, the type of surrogate data used as input to the model in order to make motion estimates and what form this output should take. In addition, a wide range of different application areas have been proposed. In this paper we summarise the state of the art in this important field and in the process highlight the key papers that have driven its advance. The intention is that this will serve as a timely review and comparison of the different techniques proposed to date and as a basis to inform future research in this area.

journal_name

Med Image Anal

journal_title

Medical image analysis

authors

McClelland JR,Hawkes DJ,Schaeffter T,King AP

doi

10.1016/j.media.2012.09.005

subject

Has Abstract

pub_date

2013-01-01 00:00:00

pages

19-42

issue

1

eissn

1361-8415

issn

1361-8423

pii

S1361-8415(12)00134-X

journal_volume

17

pub_type

杂志文章,评审
  • Clavicle segmentation in chest radiographs.

    abstract::Automated delineation of anatomical structures in chest radiographs is difficult due to superimposition of multiple structures. In this work an automated technique to segment the clavicles in posterior-anterior chest radiographs is presented in which three methods are combined. Pixel classification is applied in two s...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2012.06.009

    authors: Hogeweg L,Sánchez CI,de Jong PA,Maduskar P,van Ginneken B

    更新日期:2012-12-01 00:00:00

  • Automatic online layer separation for vessel enhancement in X-ray angiograms for percutaneous coronary interventions.

    abstract::Percutaneous coronary intervention is a minimally invasive procedure that is usually performed under image guidance using X-ray angiograms in which coronary arteries are opacified with contrast agent. In X-ray images, 3D objects are projected on a 2D plane, generating semi-transparent layers that overlap each other. T...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2017.04.011

    authors: Ma H,Hoogendoorn A,Regar E,Niessen WJ,van Walsum T

    更新日期:2017-07-01 00:00:00

  • Automatic segmentation of 3D micro-CT coronary vascular images.

    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

    authors: Lee J,Beighley P,Ritman E,Smith N

    更新日期:2007-12-01 00:00:00

  • Major depressive disorder identification by referenced multiset canonical correlation analysis with clinical scores.

    abstract::A novel method based on multiset canonical correlation analysis (mCCA) and linear discriminant analysis (LDA) is presented to identify the major depressive disorder (MDD). The new method comprises two parts, namely, the mCCA-rreg and sparse LDA models. The mCCA-rreg model extends the classical canonical correlation mo...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2019.101600

    authors: Lin W,Lv D,Han Z,Dong J,Yang L

    更新日期:2020-02-01 00:00:00

  • Robust registration procedures for endoscopic imaging.

    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

    authors: Konen W,Tombrock S,Scholz M

    更新日期:2007-12-01 00:00:00

  • Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization.

    abstract::An automatic detection method for 197 anatomically defined landmarks in computed tomography (CT) volumes is presented. The proposed method can handle missed landmarks caused by detection failure, a limited imaging range and other problems using a novel combinatorial optimization framework with a two-stage sampling alg...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2016.04.001

    authors: Hanaoka S,Shimizu A,Nemoto M,Nomura Y,Miki S,Yoshikawa T,Hayashi N,Ohtomo K,Masutani Y

    更新日期:2017-01-01 00:00:00

  • Longitudinal segmentation of age-related white matter hyperintensities.

    abstract::Although white matter hyperintensities evolve in the course of ageing, few solutions exist to consider the lesion segmentation problem longitudinally. Based on an existing automatic lesion segmentation algorithm, a longitudinal extension is proposed. For evaluation purposes, a longitudinal lesion simulator is created ...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2017.02.007

    authors: Sudre CH,Cardoso MJ,Ourselin S,Alzheimer’s Disease Neuroimaging Initiative.

    更新日期:2017-05-01 00:00:00

  • A symbolic environment for visualizing activated foci in functional neuroimaging datasets.

    abstract::This paper presents a symbolic visualization environment known as the Corner Cube environment, which was developed to facilitate rapid examination and comparison of activated foci defined by analyses of functional neuroimaging datasets. We have performed a comparative evaluation of this environment against maximum-int...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/s1361-8415(98)80020-0

    authors: Rehm K,Lakshminaryan K,Frutiger S,Schaper KA,Sumners DW,Strother SC,Anderson JR,Rottenberg DA

    更新日期:1998-09-01 00:00:00

  • An accurate, fast and robust method to generate patient-specific cubic Hermite meshes.

    abstract::In-silico continuum simulations of organ and tissue scale physiology often require a discretisation or mesh of the solution domain. Cubic Hermite meshes provide a smooth representation of anatomy that is well-suited for simulating large deformation mechanics. Models of organ mechanics and deformation have demonstrated...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2011.06.010

    authors: Lamata P,Niederer S,Nordsletten D,Barber DC,Roy I,Hose DR,Smith N

    更新日期:2011-12-01 00:00:00

  • Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space.

    abstract::Diffusion MRI affords valuable insights into white matter microstructures, but suffers from low signal-to-noise ratio (SNR), especially at high diffusion weighting (i.e., b-value). To avoid time-intensive repeated acquisition, post-processing algorithms are often used to reduce noise. Among existing methods, non-local...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2019.01.006

    authors: Chen G,Wu Y,Shen D,Yap PT

    更新日期:2019-04-01 00:00:00

  • Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.

    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

    authors: Wang Y,Zhou Y,Shen W,Park S,Fishman EK,Yuille AL

    更新日期:2019-07-01 00:00:00

  • Robust estimation of carotid artery wall motion using the elasticity-based state-space approach.

    abstract::The dynamics of the carotid artery wall has been recognized as a valuable indicator to evaluate the status of atherosclerotic disease in the preclinical stage. However, it is still a challenge to accurately measure this dynamics from ultrasound images. This paper aims at developing an elasticity-based state-space appr...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2017.01.004

    authors: Gao Z,Xiong H,Liu X,Zhang H,Ghista D,Wu W,Li S

    更新日期:2017-04-01 00:00:00

  • Global localization of 3D anatomical structures by pre-filtered Hough forests and discrete optimization.

    abstract::The accurate localization of anatomical landmarks is a challenging task, often solved by domain specific approaches. We propose a method for the automatic localization of landmarks in complex, repetitive anatomical structures. The key idea is to combine three steps: (1) a classifier for pre-filtering anatomical landma...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2013.02.004

    authors: Donner R,Menze BH,Bischof H,Langs G

    更新日期:2013-12-01 00:00:00

  • Hierarchical spherical deformation for cortical surface registration.

    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

    authors: Lyu I,Kang H,Woodward ND,Styner MA,Landman BA

    更新日期:2019-10-01 00:00:00

  • Suite of meshless algorithms for accurate computation of soft tissue deformation for surgical simulation.

    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

    authors: Joldes G,Bourantas G,Zwick B,Chowdhury H,Wittek A,Agrawal S,Mountris K,Hyde D,Warfield SK,Miller K

    更新日期:2019-08-01 00:00:00

  • Hierarchical performance estimation in the statistical label fusion framework.

    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

    authors: Asman AJ,Landman BA

    更新日期:2014-10-01 00:00:00

  • A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures.

    abstract::We describe a system for respiratory motion correction of MRI-derived roadmaps for use in X-ray guided cardiac catheterisation procedures. The technique uses a subject-specific affine motion model that is quickly constructed from a short pre-procedure MRI scan. We test a dynamic MRI sequence that acquires a small numb...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2009.01.003

    authors: King AP,Boubertakh R,Rhode KS,Ma YL,Chinchapatnam P,Gao G,Tangcharoen T,Ginks M,Cooklin M,Gill JS,Hawkes DJ,Razavi RS,Schaeffter T

    更新日期:2009-06-01 00:00:00

  • Improved fidelity of brain microstructure mapping from single-shell diffusion MRI.

    abstract::Diffusion weighted imaging (DWI) is sensitive to alterations in the diffusion of water molecules caused by microstructural barriers. Different microstructural compartments are characterized by differences in DWI signal. Diffusion tensor imaging conflates the signal from these compartments into a single tensor, which p...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2015.10.004

    authors: Taquet M,Scherrer B,Boumal N,Peters JM,Macq B,Warfield SK

    更新日期:2015-12-01 00:00:00

  • Groupwise registration with global-local graph shrinkage in atlas construction.

    abstract::Graph-based groupwise registration methods are widely used in atlas construction. Given a group of images, a graph is built whose nodes represent the images, and whose edges represent a geodesic path between two nodes. The distribution of images on an image manifold is explored through edge traversal in a graph. The f...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2020.101711

    authors: Fu T,Yang J,Li Q,Ai D,Song H,Jiang Y,Wang Y,Frangi AF

    更新日期:2020-08-01 00:00:00

  • Spine detection in CT and MR using iterated marginal space learning.

    abstract::Examinations of the spinal column with both, Magnetic Resonance (MR) imaging and Computed Tomography (CT), often require a precise three-dimensional positioning, angulation and labeling of the spinal disks and the vertebrae. A fully automatic and robust approach is a prerequisite for an automated scan alignment as wel...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2012.09.007

    authors: Michael Kelm B,Wels M,Kevin Zhou S,Seifert S,Suehling M,Zheng Y,Comaniciu D

    更新日期:2013-12-01 00:00:00

  • Symmetric positive semi-definite Cartesian Tensor fiber orientation distributions (CT-FOD).

    abstract::A novel method for estimating a field of fiber orientation distribution (FOD) based on signal de-convolution from a given set of diffusion weighted magnetic resonance (DW-MR) images is presented. We model the FOD by higher order Cartesian tensor basis using a parametrization that explicitly enforces the positive semi-...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2012.07.002

    authors: Weldeselassie YT,Barmpoutis A,Atkins MS

    更新日期:2012-08-01 00:00:00

  • Large deformation diffeomorphic registration of diffusion-weighted imaging data.

    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

    authors: Zhang P,Niethammer M,Shen D,Yap PT

    更新日期:2014-12-01 00:00:00

  • Advances and challenges in deformable image registration: From image fusion to complex motion modelling.

    abstract::Over the past 20 years, the field of medical image registration has significantly advanced from multi-modal image fusion to highly non-linear, deformable image registration for a wide range of medical applications and imaging modalities, involving the compensation and analysis of physiological organ motion or of tissu...

    journal_title:Medical image analysis

    pub_type: 社论

    doi:10.1016/j.media.2016.06.031

    authors: Schnabel JA,Heinrich MP,Papież BW,Brady SJM

    更新日期:2016-10-01 00:00:00

  • Coupled parametric model for estimation of visual field tests based on OCT macular thickness maps, and vice versa, in glaucoma care.

    abstract::The current standard of care for glaucoma patients consists of functional assessment of vision via visual field (VF) testing, which is sensitive but subjective, time-consuming, and often unreliable. A new imaging technology, Fourier domain optical coherence tomography (OCT), is being introduced to assess the structura...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2011.05.012

    authors: Tsai A,Caprioli J,Shen LQ

    更新日期:2012-01-01 00:00:00

  • Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net.

    abstract::We propose a novel airway segmentation method in volumetric chest computed tomography (CT) and evaluate its performance on multiple datasets. The segmentation is performed voxel-by-voxel by a 2.5D convolutional neural net (2.5D CNN) trained in a supervised manner. To enhance the accuracy of the segmented airway tree, ...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2018.10.006

    authors: Yun J,Park J,Yu D,Yi J,Lee M,Park HJ,Lee JG,Seo JB,Kim N

    更新日期:2019-01-01 00:00:00

  • Discriminative dictionary learning for abdominal multi-organ segmentation.

    abstract::An automated segmentation method is presented for multi-organ segmentation in abdominal CT images. Dictionary learning and sparse coding techniques are used in the proposed method to generate target specific priors for segmentation. The method simultaneously learns dictionaries which have reconstructive power and clas...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2015.04.015

    authors: Tong T,Wolz R,Wang Z,Gao Q,Misawa K,Fujiwara M,Mori K,Hajnal JV,Rueckert D

    更新日期:2015-07-01 00:00:00

  • A gradient-based optical-flow cardiac motion estimation method for cine and tagged MR images.

    abstract::A new method is proposed to quantify the myocardial motion from both 2D C(ine)-MRI and T(agged)-MRI sequences. The tag pattern offers natural landmarks within the image that makes it possible to accurately quantify the motion within the myocardial wall. Therefore, several methods have been proposed for T-MRI. However,...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2019.06.016

    authors: Wang L,Clarysse P,Liu Z,Gao B,Liu W,Croisille P,Delachartre P

    更新日期:2019-10-01 00:00:00

  • Automated classification of lung bronchovascular anatomy in CT using AdaBoost.

    abstract::Lung CAD systems require the ability to classify a variety of pulmonary structures as part of the diagnostic process. The purpose of this work was to develop a methodology for fully automated voxel-by-voxel classification of airways, fissures, nodules, and vessels from chest CT images using a single feature set and cl...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2007.03.004

    authors: Ochs RA,Goldin JG,Abtin F,Kim HJ,Brown K,Batra P,Roback D,McNitt-Gray MF,Brown MS

    更新日期:2007-06-01 00:00:00

  • Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images.

    abstract::We describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information on standard short- and long-axis cardiac MR images. In the model, the variability of the shape was modeled with PCA- and ICA-based shape models as well as with n...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2004.06.013

    authors: Lötjönen J,Kivistö S,Koikkalainen J,Smutek D,Lauerma K

    更新日期:2004-09-01 00:00:00

  • Adaptive local window for level set segmentation of CT and MRI liver lesions.

    abstract::We propose a novel method, the adaptive local window, for improving level set segmentation technique. The window is estimated separately for each contour point, over iterations of the segmentation process, and for each individual object. Our method considers the object scale, the spatial texture, and the changes of th...

    journal_title:Medical image analysis

    pub_type: 杂志文章

    doi:10.1016/j.media.2017.01.002

    authors: Hoogi A,Beaulieu CF,Cunha GM,Heba E,Sirlin CB,Napel S,Rubin DL

    更新日期:2017-04-01 00:00:00