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检索条件"任意字段=8th International Conference on Medical Image Computing and Computer-Assisted Intervention"

共 2694 条记录，以下是2471-2480 订阅

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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

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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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Simulation studies for predicting surgical outcomes in breast reconstructive surgery

Simulation studies for predicting surgical outcomes in breas...

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

作者： Williams, Celeste Kakadaris, Ioannis A. Ravi-Chandar, K. Miller, Michael J. Patrick, Charles W. Visual Computing Lab. Dept. of Computer Science University of Houston Houston TX Dept. of Aerospace Engineering University of Texas at Austin Austin TX Dept. of Plastic Surgery UT M.D. Anderson Cancer Center Houston TX

Currently, there is no reliable method to accurately predict the outcome of breast reconstruction for an individual patient prior to surgery. To address this limitation, we are developing a simulation system capable of rendering patient-specific predictions of the post-operative breast shape. Such a system for the planning of breast reconstructive surgery will greatly enhance patient prognosis. In this paper, we present our computer simulations representing the reconstructed breast using idealized and realistic geometric models.

关键词： Surgery

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Intravascular ultrasound image segmentation: A fast-marching method

引用

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

作者： Cardinal, Marie-Héléne Roy Meunier, Jean Soulez, Gilles thérasse, Éric Cloutier, Guy Laboratory of Biorheology and Medical Ultrasonics University of Montreal Hospital Canada Département d’Informatique et de Recherche Opérationnelle University of Montreal Canada Radiology Radio-Oncology and Nuclear Medicine Department University of Montreal Hospital Canada

ISBN: (纸本)3540204644

Intravascular ultrasound (IVUS) is a medical imaging technique that not only provides three-dimensional information about the blood vessel lumen and wall, but also directly depicts atherosclerotic plaque structure and morphology. Automatic processing of large data sets of IVUS data represents an important challenge due to ultrasound speckle and technology artifacts. A new semi-automatic IVUS segmentation model, the fast-marching method, based on grayscale statistics of the images, is compared to active contour segmentation. With fast-marching segmentation, the lumen, intima plus plaque structure, and media contours are computed in parallel. Preliminary results of this new IVUS segmentation model agree very well with vessel wall contours. Moreover, fast-marching segmentation is less sensitive to initialization with average distance between segmentation performed with different initializations © Springer-Verlag Berlin Heidelberg 2003.

关键词： Blood vessels

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the potential for image guided radiation therapy with cobalt-60 tomotherapy

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

作者： Schreiner, L. John Kerr, Andrew Salomons, Greg Dyck, Christine Hajdok, George Medical Physics Department Kingston Regional Cancer Centre 25 King St W KingstonONK7L 5P9 Canada Departments of Physics and Oncology Queen’s University Canada Department of Medical Biophysics University of Western Ontario 790 Commissioners Rd. E LondonONN6A 4L6 Canada

ISBN: (纸本)3540204644

Helical tomotherapy, a new approach for Intensity Modulated Radiation therapy, employs a fan-beam of radiation from a source mounted in a CT-like ring gantry. Complex conformal dose delivery is achieved by modulating the intensity of the radiation beam as the source revolves about the patient. A particular benefit of helical tomotherapy is the ability to perform in-situ CT imaging to confirm patient set-up, and to reconstruct the dynamically delivered dose distributions. In this paper we present the results of ongoing work to establish the potential for tomotherapy using a Cobalt-60 radioactive source. Both dose delivery and megavoltage CT imaging data confirm the feasibility of image guided radiation therapy using Cobalt-60 tomotherapy. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Radiotherapy

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image analysis of newborn plantar surface for gestational age determination

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: (纸本)3540204644

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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Registration of organ surface with intra-operative 3D ultrasound image using genetic algorithm

Registration of organ surface with intra-operative 3D ultras...

引用

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

作者： Wu, Ruoyun Ling, Keck Voon Shao, Wei Ng, Wan Sing Clinical Research Unit Tan Tock Seng Hospital 308433 Singapore Sch. of Electron. and Elec. Eng. Nanyang Technological University 639798 Singapore Sch. of Mech. and Prod. Engineering Nanyang Technological University 639798 Singapore

the goal of this research is to register organ surface with intra-operative 3D ultrasound (US) image. the algorithm can be used to register pre-operative images, such as MR and CT, with intra-operative US image, or to track organ surface in US image sequence. Simulation experiments were performed to demonstrate the registration of prostate surface with 3D US image in a population of 8 patients. Surfaces were segmented from US images and registered with the same images multiple times to show the accuracy and consistency. Surface tracking was demonstrated by registering the surface obtained from one US image with another US image of the same patient. Genetic Algorithm was used as the search engine to find out the 6-degree transform of the surface that best fit the US image gradients. the algorithm is observed accurate and achieved high consistency in all tested images with an average process time of 9.5 seconds.

关键词： Biological organs

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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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Segmentation and evaluation of adipose tissue from whole body MRI scans

Segmentation and evaluation of adipose tissue from whole bod...

引用

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

作者： Jin, Yinpeng Imielińska, Celina Z. Laine, Andrew F. Udupa, Jayaram Shen, Wei Heymsfield, Steven B. Department of Biomedical Engineering Columbia University Department of Medical Informatics College of Physicians and Surgeons Columbia University Medical Image Processing Group Deptartment of Radiology University of Pennsylvania Obesity Research Center Columbia University St. Luke's-Roosevelt Hospital

Accurate quantification of total body and the distribution of regional adipose tissue using manual segmentation is a challenging problem due to the high variation between manual delineations. Manual segmentation also requires highly trained experts with knowledge of anatomy. We present a hybrid segmentation method that provides robust delineation results for adipose tissue from whole body MRI scans. A formal evaluation of accuracy of the segmentation method is performed. this semi-automatic segmentation algorithm reduces significantly the time required for quantification of adipose tissue, and the accuracy measurements show that the results are close to the ground truth obtained from manual segmentations.

关键词： Tissue

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image-based modelling of soft tissue deformation

Image-based modelling of soft tissue deformation

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

作者： Elhelw, Mohamed A. Chung, Adrian J. Darzi, Ara Yang, Guang-Zhong Royal Society Wolfson Med. Image Comp. Laboratory Imperial College London London United Kingdom

this paper describes a novel method for simulating soft tissue deformation with image-based rendering. It is based on the association of a depth map with the texture image and the incorporation of micro-surface details to generate photorealistic images representing soft tissue deformations. In a preprocessing step, the depth map describing the surface is separated into two distributions corresponding to macro- and micro-surface details. During user interactive simulation, deformations resulting from tissue-instrument interaction are rapidly calculated by modifying a coarse mass-spring model fitted to the macrosurface structure. Micro-surface details are subsequently augmented to the modified model with 3D image warping. the proposed technique drastically reduces the polygonal count required to model the scene whilst preserving deformed small surface details to offer a high level of photorealism.

关键词： Tissue

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