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Interactive, GPU-based level sets for 3D segmentation

Interactive, GPU-based level sets for 3D segmentation

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Lefohn, Aaron E. Cates, Joshua E. Whitaker, Ross T. Sci. Computing and Imaging Institute University of Utah Salt Lake City UT 84112

While level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow to compute. Second, their formulation usually entails several free parameters which can be very difficult to correctly tune for specific applications. This paper presents a tool for 3D segmentation that relies on level-set surface models computed at interactive rates on commodity graphics cards (CPUs). The interactive rates for solving the level-set PDE give the user immediate feedback on the parameter settings, and thus users can tune three separate parameters and control the shape of the model in real time. We have found that this interactivity enables users to produce good, reliable segmentation, as supported by qualitative and quantitative results.

关键词： image segmentation

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From colour to tissue histology: Physics-based interpretation of images of pigmented skin lesions 1

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5th international conference on medical image computing and computer-assisted intervention

作者： Claridge, E Cotton, S Hall, P Moncrieff, M Univ Birmingham Sch Comp Sci Birmingham B15 2TT W Midlands England Astron Clin Cambridge CB3 7RL England Addenbrookes Hosp Dept Plast Surg Cambridge CB2 2QQ England Mersey Deanery Liverpool L3 Merseyside England

ISBN: (数字)9783540457862

ISBN: (纸本)9783540442240

Through an understanding of the image formation process, diagnostically important facts about the internal structure and composition of pigmented skin lesions can be derived from their colour images. A physics-based model of tissue colouration provides a cross-reference between image colours and the underlying histological parameters. It is constructed by computing the spectral composition of light remitted from the skin given parameters specifying its structure and optical properties. The model is representative of all the normal human skin colours. irrespective of racial origin, age or gender. Abnormal skin colours do not conform to this model and thus can be detected. Once the model is constructed, for each pixel in a colour image its histological parameters are computed from the model. Represented as images, these 'parametric maps' show the concentration of dermal and epidermal melanin, blood and collagen thickness across the imaged skin as well as locations where abnormal colouration exists. In a clinical study the parametric maps were used by a clinician to detect the presence of malignant melanoma in a set of 348 pigmented lesions imaged using a commercial device, the SIAscope. Logistic regression identified the presence of melanin in the dermis, the abnormal distribution of blood within the lesion and the lesion size as the most diagnostically informative features. Classification based on these features showed 80.1% sensitivity and 82.7% specificity in melanoma detection. (C) 2003 Elsevier B.V. All rights reserved.

关键词： colour analysis image analysis physics-based modelling pigmented skin lesions melanoma diagnosis

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Surface coil intensity correction and non-linear intensity normalization improve pixel-resolution parametric maps of myocardial MRI perfusion 1

引用

6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003

作者： Hsu, Li-Yueh Rhoads, Kenneth L. Aletras, Anthony H. Arai, Andrew E. Laboratory of Cardiac Energetics National Heart Lung and Blood Institute National Institutes of Health BethesdaMD United States

ISBN: (数字)9783540399032

ISBN: (纸本)3540204644

We present a systematic approach to generate pixel-wise parametric maps from contrast-enhanced MR myocardial perfusion images. A surface coil intensity correction algorithm is used to compensate the myocardial intensity inhomogeneity. Non-linear intensity normalization is applied to color encode the pixel intensity. The preliminary result shows our technique is valuable in differentiating perfusion defects within myocardial regions of interest. © Springer-Verlag Berlin Heidelberg 2003.

关键词： image enhancement

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Real-time segmentation of Trans-urethral Ultrasound images for prostate brachytherapy 1

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Holmes, David R. Robb, Richard A. Biomedical Imaging Resource Mayo Clinic and Foundation Rochester MN 55905 United States

ISBN: (数字)9783540399032

ISBN: (纸本)9783540204640

Previous research on Trans-urethral Ultrasound (TUUS) imaging has shown promise that TUUS will become a viable new intra-operative tool. Prior work focused on the processing of TUUS data in order to obtain useful clinical information, however intra-operative imaging issues (real-time feedback) have not been fully addressed. This paper describes a unique framework for efficient processing which can be used for intra-operative imaging. The methods describe a segmentation pipeline which meet the requirements of intra-operative imaging in prostate brachytherapy. The implementation of the process is described and the process is evaluated for efficiency and accuracy.

关键词： image segmentation

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medical image segmentation using improved active contour model

Medical image segmentation using improved active contour mod...

引用

3rd international conference on Photonics and Imaging in Biology and Medicine

作者： Tian, J Zhu, FP Luo, XP Chinese Acad Sci Inst Automat Med Image Proc Grp Beijing 100080 Peoples R China

ISBN: (纸本)081945138X

In this paper, an algorithm for the semiautomatic segmentation of medical image series is proposed by combining the live wire algorithm and the active contour model. Firstly the accurate segmented results of one or more slices in a medical image series are obtained by the livewire algorithm and the watershed transform. Based on the segmentation of previous slices, the computer will segment the nearby slice using the modified active contour model automatically. To make full use of the correlative information between contiguous slices, we introduce a gay-scale model to the boundary points of the active contour model to record the local region characters of the desired object in the segmented slice and replace the external energy of the traditional active contour model with the energy decided by the likelihood of the gray-scale model. Moreover we introduce the active region concept of the snake to improve the segmentation accuracy. Experiment shows that our algorithm can obtain the boundary of the desired object from a series of medical images quickly and reliably with only little user intervention.

关键词： active contour live wire image segmentation medical image watershed transform

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Intensity-based 2D-3D spine image registration incorporating one fiducial marker

Intensity-based 2D-3D spine image registration incorporating...

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Russakoff, Daniel B. Rohlfing, Torsten Shahidi, Ramin Kim, Daniel H. Adler Jr., John R. Maurer Jr., Calvin R. Department of Computer Science Stanford University Stanford CA United States Image Guidance Laboratories Department of Neurosurgery Stanford University Stanford CA United States Department of Radiation Oncology Stanford University Stanford CA United States

In this paper, we propose a hybrid similarity measure for 2D-3D image registration that is a weighted combination of an intensity-based image similarity measure and a point-based measure incorporating a single fiducial marker. We evaluate its accuracy and robustness using gold-standard clinical spine image data. The use of one fiducial marker substantially improves registration accuracy and robustness.

关键词： Biomarkers

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Support vector machine density estimator as a generalized parzen windows estimator for mutual information based image registration

引用

6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003

作者： Chelikani, Sudhakar Purushothaman, Kailasnath Duncan, James S. Departments of Diagnostic Radiology New HavenCT06520-8042 United States Departments of Electrical Engineering and Diagnostic Radiology Yale University New HavenCT06520-8042 United States

ISBN: (纸本)3540204644

Mutual Information is perhaps the most widely used multimodality image registration method. A crucial step in mutual information is the estimation of the probability density function (pdf). In most cases, the Parzen window estimator is employed for this purpose which results in an excessive computational cost. In this paper we demonstrate that replacing the Parzen density estimator with a Support Vector Machine (SVM) density estimation will result in a significant reduction of the computational time. We verified this by registering 2D portal images to DRRs (digitally reconstructed radiographs) projected from 3D CT volumetric data. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Support vector machines

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A CAD system for quantifying COPD based on 3-D CT images

A CAD system for quantifying COPD based on 3-D CT images

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Nagao, Jiro Aiguchi, Takahisa Mori, Kensaku Suenaga, Yasuhito Toriwaki, Jun-Ichiro Mori, Masaki Natori, Hiroshi Grad. School of Information Science Nagoya University Japan Sch. of Comp. and Cognitive Sciences Chukyo University Japan Sapporo Kosei Hospital Japan Department of Diagnostic Ultrasound Sapporo Medical University Japan

This paper proposes methods for automated extraction of emphysematous lesions from three-dimensional (3-D) CT images and quantitative evaluation of their distribution pattern. We employ 3-D image processing techniques on computer-aided diagnosis of pulmonary emphysema. Emphysematous lesions are automatically extracted by a region growing method. To analyze spatial distribution of the detected low-attenuation areas, we examine the relations between emphysematous lesions and bronchi or pulmonary blood vessels using Euclidean distance transformation. Experimental results show that the methods could be used to extract emphysematous lesions appropriately and could quantitatively evaluate their distribution pattern.

关键词： computerized tomography

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image analysis of newborn plantar surface for gestational age determination 1

引用

medical image computing and computer-assisted intervention, MICCAI 2003 - 6th international conference Proceedings

作者： Bellon, Olga R.P. Severich, Maurício Silva, Luciano Cat, Mônica N. L. Boyer, Kim L. Univ. Federal do Paraná Dept. Informática Curitiba/PR Brazil Ctro. Fed. de Educ. Tecnologica CPGEI Curitiba-PR Brazil Univ. Federal do Paraná Hospital de Clínicas Curitiba/PR Brazil Ohio State University Dept. Electrical Engineering Columbus OH United States

ISBN: (数字)9783540399032

ISBN: (纸本)9783540204640

We present a computational approach to support gestational age determination of premature newborns. This knowledge is fundamental to guide postnatal treatment and increase survival chances. However, current approaches are both invasive and do not generate precise results. This paper presents an original and non-invasive method to determine the gestational age based on information supplied by plantar surface images. These images present many details and patterns but to date have not received attention from the image processing community. We provide a computational tool with suitable facilities to allow the image analysis, either automatically or user-driven. Besides its importance to Neonatology, this work represents a contribution of computer Vision concepts to medical Imaging. The experimental results confirm the relationship between the plantar surface features and newborn gestational age.

关键词： image analysis

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Non-rigid registration of 3D ultrasound images of brain tumours acquired during neurosurgery 1

引用

6th international conference on medical image computing and computer-assisted intervention, MICCAI 2003

作者： Letteboer, Marloes M. J. Willems, Peter W. A. Viergever, Max A. Niessen, Wiro J. Image Sciences Institute University Medical Center Utrecht Netherlands Department of Neurosurgery University Medical Center Utrecht Netherlands

ISBN: (数字)9783540399032

ISBN: (纸本)3540204644

Intraoperative brain deformation is one of the most contributing factors to the inaccuracy of image-guided neurosurgery systems. One option for correcting for this deformation is to acquire 3D ultrasound images during surgery and use these to update the information provided by the preoperatively acquired MR. To compare ultrasound volumes at different stages of surgery, non-rigid registration techniques are necessary. We present the results of applying a non-rigid registration algorithm, based on free-form deformations using B-splines and using normalized mutual information as a similarity measure, to 3D ultrasound volumes of two patients with brain tumours. For these two patients we registered an ultrasound volume acquired prior to opening the dura with an ultrasound volume acquired after opening the dura, but prior to surgery. When comparing the segmented tumours after affine registration plus free-form registration with a control point spacing of 4 mm to the segmented tumour volumes after registration with the image-guided surgery system, the volume overlap increased from approximately 76% to 96% for both patients. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Neurosurgery

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