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

authors： Ye C,Li X,Chen J

更新日期：2019-07-01 00:00:00

abstract：:Accurate segmentation of the prostate and organs at risk (e.g., bladder and rectum) in CT images is a crucial step for radiation therapy in the treatment of prostate cancer. However, it is a very challenging task due to unclear boundaries, large intra- and inter-patient shape variability, and uncertain existence of bo...

journal_title：Medical image analysis

authors： Wang S,He K,Nie D,Zhou S,Gao Y,Shen D

更新日期：2019-05-01 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

authors： Ravikumar N,Gooya A,Beltrachini L,Frangi AF,Taylor ZA

更新日期：2019-04-01 00:00:00

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

authors： Chen G,Wu Y,Shen D,Yap PT

更新日期：2019-04-01 00:00:00

abstract：:Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive impairment of memory and other cognitive functions. Currently, many multi-task learning approaches have been proposed to predict the disease progression at the early stage using longitudinal data, with each task corresponding to a pa...

journal_title：Medical image analysis

authors： Wang M,Zhang D,Shen D,Liu M

更新日期：2019-04-01 00:00:00

abstract：:Surgical tool detection is attracting increasing attention from the medical image analysis community. The goal generally is not to precisely locate tools in images, but rather to indicate which tools are being used by the surgeon at each instant. The main motivation for annotating tool usage is to design efficient sol...

journal_title：Medical image analysis

authors： Al Hajj H,Lamard M,Conze PH,Roychowdhury S,Hu X,Maršalkaitė G,Zisimopoulos O,Dedmari MA,Zhao F,Prellberg J,Sahu M,Galdran A,Araújo T,Vo DM,Panda C,Dahiya N,Kondo S,Bian Z,Vahdat A,Bialopetravičius J,Flouty E,Qiu

更新日期：2019-02-01 00:00:00

abstract：:Synthesized medical images have several important applications. For instance, they can be used as an intermedium in cross-modality image registration or used as augmented training samples to boost the generalization capability of a classifier. In this work, we propose a generic cross-modality synthesis approach with t...

journal_title：Medical image analysis

authors： Cai J,Zhang Z,Cui L,Zheng Y,Yang L

更新日期：2019-02-01 00:00:00

abstract：:Dynamical contrast enhanced (DCE) imaging allows non invasive access to tissue micro-vascularization. It appears as a promising tool to build imaging biomarkers for diagnostic, prognosis or anti-angiogenesis treatment monitoring of cancer. However, quantitative analysis of DCE image sequences suffers from low signal t...

journal_title：Medical image analysis

authors： Liu F,Cuenod CA,Thomassin-Naggara I,Chemouny S,Rozenholc Y

更新日期：2019-01-01 00:00:00

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

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

abstract：:In this paper, we propose a novel continuum finite strain formulation of the equilibrium gap regularization for image registration. The equilibrium gap regularization essentially penalizes any deviation from the solution of a hyperelastic body in equilibrium with arbitrary loads prescribed at the boundary. It thus rep...

journal_title：Medical image analysis

authors： Genet M,Stoeck CT,von Deuster C,Lee LC,Kozerke S

更新日期：2018-12-01 00:00:00

abstract：:We address the medical image analysis issue of predicting the final lesion in stroke from early perfusion magnetic resonance imaging. The classical processing approach for the dynamical perfusion images consists in a temporal deconvolution to improve the temporal signals associated with each voxel before performing pr...

journal_title：Medical image analysis

authors： Giacalone M,Rasti P,Debs N,Frindel C,Cho TH,Grenier E,Rousseau D

更新日期：2018-12-01 00:00:00

abstract：:To analyze dynamic positron emission tomography (PET) images, various generic multivariate data analysis techniques have been considered in the literature, such as principal component analysis (PCA), independent component analysis (ICA), factor analysis and nonnegative matrix factorization (NMF). Nevertheless, these c...

journal_title：Medical image analysis

authors： Cavalcanti YC,Oberlin T,Dobigeon N,Stute S,Ribeiro M,Tauber C

更新日期：2018-10-01 00:00:00

abstract：:During embryogenesis, a mammalian heart develops from a simple tubular shape into a complex 4-chamber organ, going through four distinct phases: early primitive tubular heart, emergence of trabeculations, trabecular remodeling and development of the compact myocardium. In this paper we propose a framework for standard...

journal_title：Medical image analysis

authors： Paun B,Bijnens B,Cook AC,Mohun TJ,Butakoff C

更新日期：2018-10-01 00:00:00

abstract：:Robust and fast detection of anatomical structures represents an important component of medical image analysis technologies. Current solutions for anatomy detection are based on machine learning, and are generally driven by suboptimal and exhaustive search strategies. In particular, these techniques do not effectively...

journal_title：Medical image analysis

authors： Ghesu FC,Georgescu B,Grbic S,Maier A,Hornegger J,Comaniciu D

更新日期：2018-08-01 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

authors： Wu H,Bailey C,Rasoulinejad P,Li S

更新日期：2018-08-01 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

authors： Vigneault DM,Xie W,Ho CY,Bluemke DA,Noble JA

更新日期：2018-08-01 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

authors： Corrado C,Williams S,Karim R,Plank G,O'Neill M,Niederer S

更新日期：2018-07-01 00:00:00

abstract：:Accurate digital representation of major white matter bundles in the brain is an important goal in neuroscience image computing since the representations can be used for surgical planning, intra-patient longitudinal analysis and inter-subject population connectivity studies. Reconstructing desired fiber bundles genera...

journal_title：Medical image analysis

authors： Ugurlu D,Firat Z,Türe U,Unal G

更新日期：2018-05-01 00:00:00

abstract：:Image registration is an important task in medical image analysis. Whereas most methods are designed for the registration of two images (pairwise registration), there is an increasing interest in simultaneously aligning more than two images using groupwise registration. Multimodal registration in a groupwise setting r...

journal_title：Medical image analysis

authors： Polfliet M,Klein S,Huizinga W,Paulides MM,Niessen WJ,Vandemeulebroucke J

更新日期：2018-05-01 00:00:00

abstract：:Images of the retina acquired using optical coherence tomography (OCT) often suffer from intensity inhomogeneity problems that degrade both the quality of the images and the performance of automated algorithms utilized to measure structural changes. This intensity variation has many causes, including off-axis acquisit...

journal_title：Medical image analysis

authors： Lang A,Carass A,Jedynak BM,Solomon SD,Calabresi PA,Prince JL

更新日期：2018-01-01 00:00:00

abstract：:We propose a novel Riemannian framework for statistical analysis of shapes that is able to account for the nonlinearity in shape variation. By adopting a physical perspective, we introduce a differential representation that puts the local geometric variability into focus. We model these differential coordinates as ele...

journal_title：Medical image analysis

authors： von Tycowicz C,Ambellan F,Mukhopadhyay A,Zachow S

更新日期：2018-01-01 00:00:00

abstract：:This paper introduces a model-based approach for a fully automatic delineation of kidney and cortex tissue from contrast-enhanced abdominal CT scans. The proposed framework, named CorteXpert, consists of two new strategies for kidney tissue delineation: cortex model adaptation and non-uniform graph search. CorteXpert ...

journal_title：Medical image analysis

authors： Xiang D,Bagci U,Jin C,Shi F,Zhu W,Yao J,Sonka M,Chen X

更新日期：2017-12-01 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

authors： Cao X,Yang J,Gao Y,Guo Y,Wu G,Shen D

更新日期：2017-10-01 00:00:00

abstract：:Segmentation of the geometric morphology of abdominal aortic aneurysm is important for interventional planning. However, the segmentation of both the lumen and the outer wall of aneurysm in magnetic resonance (MR) image remains challenging. This study proposes a registration based segmentation methodology for efficien...

journal_title：Medical image analysis

authors： Wang Y,Seguro F,Kao E,Zhang Y,Faraji F,Zhu C,Haraldsson H,Hope M,Saloner D,Liu J

更新日期：2017-08-01 00:00:00

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

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

更新日期：2017-07-01 00:00:00

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

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

更新日期：2017-05-01 00:00:00

abstract：:In this paper, we review state-of-the-art techniques to correct eye motion artifacts in Optical Coherence Tomography (OCT) imaging. The methods for eye motion artifact reduction can be categorized into two major classes: (1) hardware-based techniques and (2) software-based techniques. In the first class, additional ha...

journal_title：Medical image analysis

authors： Baghaie A,Yu Z,D'Souza RM

更新日期：2017-04-01 00:00:00

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

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

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

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

abstract：:Interpretation of ultrasound videos of the fetal heart is crucial for the antenatal diagnosis of congenital heart disease (CHD). We believe that automated image analysis techniques could make an important contribution towards improving CHD detection rates. However, to our knowledge, no previous work has been done in t...

journal_title：Medical image analysis

authors： Bridge CP,Ioannou C,Noble JA

更新日期：2017-02-01 00:00:00

abstract：:As a common disease in the elderly, neural foramina stenosis (NFS) brings a significantly negative impact on the quality of life due to its symptoms including pain, disability, fall risk and depression. Accurate boundary delineation is essential to the clinical diagnosis and treatment of NFS. However, existing clinica...

journal_title：Medical image analysis

authors： He X,Zhang H,Landis M,Sharma M,Warrington J,Li S

更新日期：2017-02-01 00:00:00

abstract：:We evaluate the accuracy of whole-body bone extraction from whole-body MR images using a number of atlas-based segmentation methods. The motivation behind this work is to find the most promising approach for the purpose of MRI-guided derivation of PET attenuation maps in whole-body PET/MRI. To this end, a variety of a...

journal_title：Medical image analysis

authors： Arabi H,Zaidi H

更新日期：2017-02-01 00:00:00

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 ma...

journal_title：Medical image analysis

authors： Barnhill E,Hollis L,Sack I,Braun J,Hoskins PR,Pankaj P,Brown C,van Beek EJR,Roberts N

更新日期：2017-01-01 00:00:00

abstract：:Intervention planning is essential for successful Mitral Valve (MV) repair procedures. Finite-element models (FEM) of the MV could be used to achieve this goal, but the translation to the clinical domain is challenging. Many input parameters for the FEM models, such as tissue properties, are not known. In addition, on...

journal_title：Medical image analysis

authors： Grbic S,Easley TF,Mansi T,Bloodworth CH,Pierce EL,Voigt I,Neumann D,Krebs J,Yuh DD,Jensen MO,Comaniciu D,Yoganathan AP

更新日期：2017-01-01 00:00:00

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

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

abstract：:Recent progress in cardiac catheterization and devices has allowed the development of new therapies for severe cardiac diseases like arrhythmias and heart failure. The skills required for such interventions are very challenging to learn, and are typically acquired over several years. Virtual reality simulators may red...

journal_title：Medical image analysis

authors： Talbot H,Spadoni F,Duriez C,Sermesant M,O'Neill M,Jaïs P,Cotin S,Delingette H

更新日期：2017-01-01 00:00:00

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

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

更新日期：2016-10-01 00:00:00

abstract：:In this note we summarize the history of computer aided surgery in orthopaedics and traumatology from the end of the nineteenth century to currently observable future trends. We concentrate on the two major components of such systems, pre-operative planning and intra-operative execution. The evolution of the necessary...

journal_title：Medical image analysis

authors： Székely G,Nolte LP

更新日期：2016-10-01 00:00:00

abstract：:With the advent of large-scale imaging studies and big health data, and the corresponding growth in analytics, machine learning and computational image analysis methods, there are now exciting opportunities for deepening our understanding of the mechanisms and characteristics of heart disease. Two emerging fields are ...

journal_title：Medical image analysis

authors： Suinesiaputra A,McCulloch AD,Nash MP,Pontre B,Young AA

更新日期：2016-10-01 00:00:00

abstract：:Clinical acceptance of 3-D OCT retinal imaging brought rapid development of quantitative 3-D analysis of retinal layers, vasculature, retinal lesions as well as facilitated new research in retinal diseases. One of the cornerstones of many such analyses is segmentation and thickness quantification of retinal layers and...

journal_title：Medical image analysis

authors： Sonka M,Abràmoff MD

更新日期：2016-10-01 00:00:00