Atherosclerotic plaques may rupture without warning and cause acute cardiovascular syndromes such as heart attack and stroke. It is believed that mechanical forces play an important role in plaque progression and rupt...
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In this paper, a system for fully automatic planning of short-axis (SA) cardiac MR acquisition is evaluated. Experimental results from 11 patients and 3 healthy subjects show that the difference between the automatic ...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)3540204644
In this paper, a system for fully automatic planning of short-axis (SA) cardiac MR acquisition is evaluated. Experimental results from 11 patients and 3 healthy subjects show that the difference between the automatic and manual planning was not statistically significant.
This paper presents a high-quality glass-less autostereoscopic display system that is integrated into image-guided surgery. The glass-less autostereoscopic image was created by employing a modification of Integral Vid...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)3540204644
This paper presents a high-quality glass-less autostereoscopic display system that is integrated into image-guided surgery. The glass-less autostereoscopic image was created by employing a modification of Integral Videography (IV), which is an animated extension of Integral Photography. IV records and reproduces 3-D images using a micro convex lens array and plat display, which can display geometrically accurate 3-D autostereoscopic images and reproduce motion parallax without any need for special viewing devices. This paper reports the use of high-resolution IV display and high performance computing for producing medical3-D image. We evaluate the feasibility of this display by using a set of medicalimage with segmentation and reproducing 3-D CT and MRI autostereoscopic image for surgical planning and intra-operative guidance. The main contribution of this paper is application and modification of medical3-D display technique originally developed in high-resolution autostereoscopic display and high performance computing.
In this paper we present a new algorithm for 3D medicalimage segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on minimizing a global energy defined from a learned n...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)3540204644
In this paper we present a new algorithm for 3D medicalimage segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on minimizing a global energy defined from a learned non-parametric estimation of the statistics of the region to be segmented. Implementation details are discussed and source code is freely available as part of the 3D Slicer project. In addition, a new unified set of validation metrics is proposed. Results on artificial and real MRI images show that the algorithm performs well on large brain structures both in terms of accuracy and robustness to noise.
We propose a novel approach to landmark-based medicalimage registration based on the geostatical method of Kriging prediction. Our method exploits the spatial statistical relation between two images, as estimated usi...
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ISBN:
(纸本)3540204644
We propose a novel approach to landmark-based medicalimage registration based on the geostatical method of Kriging prediction. Our method exploits the spatial statistical relation between two images, as estimated using general-purpose registration algorithms, in order to construct an optimum predictor of the displacement field. High accuracy is achieved by using an estimated spatial model of the displacement field directly from the image data, while practically circumventing the difficulties that prevented Kriging from being widely used in image registration.
Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm using wavelet-based attribute vectors ...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)3540204644
Finding point correspondence in anatomical images is a key step in shape analysis and deformable registration. This paper proposes an automatic correspondence detection algorithm using wavelet-based attribute vectors defined on every image voxel. The attribute vector reflects the anatomical characteristics in a large neighborhood around the respective voxel. It plays the role of a morphological signature for each voxel and is therefore made as distinctive as possible. Correspondence is then determined via similarity of attribute vectors. Experiments with brain MR images show that the algorithm performs at least as well as human experts, even for complex cortical structures.
The proceedings contain 138 papers from the medicalimagecomputing and computer-assistedintervention, MICCAI 2003 - 6th internationalconference Proceedings: Part 2. The topics discussed include: patient classificat...
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The proceedings contain 138 papers from the medicalimagecomputing and computer-assistedintervention, MICCAI 2003 - 6th internationalconference Proceedings: Part 2. The topics discussed include: patient classification of fMRI activation maps;unsupervised learning and mapping of brain fMRI signals based on hidden semi-Markov event sequence models;tomographic reconstruction for truncated cone beam data using prior CT information;and an enhanced 3D-visualization of intracranial aneurysms involving the skull base.
The proceedings contain 98 papers from medicalimagecomputing and computer-assistedintervention - MICCAI 2003 - 6th internationalconference Proceedings, Part I. The topics discussed include: the role of simulation ...
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The proceedings contain 98 papers from medicalimagecomputing and computer-assistedintervention - MICCAI 2003 - 6th internationalconference Proceedings, Part I. The topics discussed include: the role of simulation fidelity in laparoscopic surgical training;pathology growth model-based trajectory planning;a new biomechanical model based approach on brain shift compensation;image-based modeling of soft tissue deformation;optimum robot control for 3D virtual fixture in constrained ENT surgery;measurement-based deep venous thrombosis screening system;a spatial-stiffness analysis of Fiducial registration accuracy;interactive, GPU-based level sets for 3D segmentation;and the navigated image viewer - evaluation in Maxillofacial surgery.
Accuracy and,precision of inserting joint implants is essential for successful long-term prosthetic function. Clinical and radiographic assessment of Oxford unicompartmental knee arthroplasty using 3computer-assisted...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)3540204644
Accuracy and,precision of inserting joint implants is essential for successful long-term prosthetic function. Clinical and radiographic assessment of Oxford unicompartmental knee arthroplasty using 3computer-assisted techniques (CT based, "morphing" and fluoro-based) was undertaken on 17 patients. They were followed for at least one year postoperatively. Clinical outcome assessments: Knee Society Scores, WOMAC and SF-36 all indicated good to excellent results. All methods worked well with the manufacture tolerance of 10degrees in both planes. However, CT based and fluoro-based techniques were significantly better than the morphing technique.
We propose a method for automatically correcting the spherical topology of any segmentation under any digital connectivity. A multiple region growing process, concurrently acting on the foreground and the background, ...
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ISBN:
(数字)9783540399032
ISBN:
(纸本)3540204644
We propose a method for automatically correcting the spherical topology of any segmentation under any digital connectivity. A multiple region growing process, concurrently acting on the foreground and the background, divides the segmentation into connected components and successive minimum cost decisions guarantee convergence to correct spherical topology. In contrast to existing procedures that suppose specific initial segmentation (full connectivity, no cavities...) and are designed for a particular task (cortical representation), no assumption is made on the initial image. Our method applied to subcortical segmentations allows us to correct the topology of fourteen non-cortical structures in less than a minute.
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