MEDICAL IMAGE ANALYSIS

MEDICAL IMAGE ANALYSIS(英文缩写 MED IMAGE ANAL),ISSN 1361-8415,eISSN 1361-8423 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

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MEDICAL IMAGE ANALYSIS 最新收录文献

1. Automatic detection of microaneurysms in color fundus images.
   Thomas Walter, Pascale Massin, Ali Erginay, Richard Ordonez, Clotilde Jeulin, Jean-Claude Klein
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17950655

   This paper addresses the automatic detection of microaneurysms in color fundus images, which plays a key role in computer assisted diagnosis of diabetic retinopathy, a serious and frequent eye disease…

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2. Automatic segmentation of 3D micro-CT coronary vascular images.
   Jack Lee, Patricia Beighley, Erik Ritman, Nicolas Smith
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17827050

   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 …

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3. The mechanical response of human liver and its relation to histology: an in vivo study.
   Edoardo Mazza, Alessandro Nava, Dieter Hahnloser, Wolfram Jochum, Michael Bajka
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17719834

   The mechanical response of human liver is characterized in vivo by means of intra-operative aspiration experiments. Mechanical characterization is combined with histological evaluation of liver tissue…

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4. Efficient computational fluid dynamics mesh generation by image registration.
   D C Barber, E Oubel, A F Frangi, D R Hose
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17702641

   Most implementations of computational fluid dynamics (CFD) solutions require a discretisation or meshing of the solution domain. The production from a medical image of a computationally efficient mesh…

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5. Clinical validation of vessel-based registration for correction of brain-shift.
   I Reinertsen, F Lindseth, G Unsgaard, D L Collins
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17681484

   In this paper, we have tested and validated a vessel-based registration technique for correction of brain-shift using retrospective clinical data from five patients: three patients with brain tumors, …

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6. Correction of susceptibility artifacts in diffusion tensor data using non-linear registration.
   D Merhof, G Soza, A Stadlbauer, G Greiner, C Nimsky
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17664081

   Diffusion tensor imaging can be used to localize major white matter tracts within the human brain. For surgery of tumors near eloquent brain areas such as the pyramidal tract this information is of im…

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7. Activation detection in diffuse optical imaging by means of the general linear model.
   J Cohen-Adad, S Chapuisat, J Doyon, S Rossignol, J-M Lina, H Benali
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17643341

   Due to its non-invasive nature and low cost, diffuse optical imaging (DOI) is becoming a commonly used technique to assess functional activation in the brain. When imaging with DOI, two major issues a…

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8. Probabilistic vessel axis tracing and its application to vessel segmentation with stream surfaces and minimum cost paths.
   Wilbur C K Wong, Albert C S Chung
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17629543

   We propose a novel framework to segment vessels on their cross-sections. It starts with a probabilistic vessel axis tracing in a gray-scale three-dimensional angiogram, followed by vessel boundary del…

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9. Probe trajectory interpolation for 3D reconstruction of freehand ultrasound.
   Pierrick Coupé, Pierre Hellier, Xavier Morandi, Christian Barillot
   Medical image analysis 2007 IF: 14.00 Q1 PMID: 17625950

   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 spa…

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10. Boundary element method-based regularization for recovering of LV deformation.
    Ping Yan, Albert Sinusas, James S Duncan
    Medical image analysis 2007 IF: 14.00 Q1 PMID: 17584521

    The quantification of left ventricular (LV) deformation from noninvasive image sequences is an important clinical problem. To date, feature information from either magnetic resonance (MR), computed to…

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