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Segmentation of magnetic resonance images using 3D deformable models 1st

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1st international conference on medical image computing and computer-assisted intervention, MICCAI 1998

作者： Lötjönen, Jyrki Magnin, Isabelle E. Reissman, Pierre-Jean Nenonen, Jukka Katila, Toivo Creatis INSA 502 Villeurbanne Cedex69621 France Laboratory of Biomedical Engineering Helsinki University of Technology P.O.B. 2200 HutFIN-02015 Finland BioMag Laboratory Helsinki University Central Hospital P.O.B. 503 HyksFIN-00029 Finland

ISBN: (纸本)3540651365

A new method to segment MR volumes has been developed. The method matches elastically a 3D deformable prior model, describing the structures of interest, to the MR volume of a patient. The deformation is done using a deformation grid. Oriented distance maps are utilized to guide the deformation process. Two alternative restrictions are used to preserve the geometrical prior knowledge of the model. The method is applied to extract the body, the lungs and the heart. The segmentation is needed to build individualized boundary element models for bioelectro-magnetic inverse problem. The method is fast, automatic and accurate. Good results have been achieved for four MR volumes tested so fax. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Deformation

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3-D model supported prostate biopsy simulation and evaluation 1st

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1st international conference on medical image computing and computer-assisted intervention, MICCAI 1998

作者： Xuan, Jianhua Wang, Yue Sesterhenn, Isabell A. Moul, Judd W. Mun, Seong K. University of Maryland Baltimore County Baltimore21250 United States The Catholic University of America WashingtonDC20064 United States Armed Forces Institute of Pathology WashingtonDC20306 United States Walter Reed Army Medical Center WashingtonDC20306 United States Georgetwon University Medical Center WashingtonDC20007 United States

ISBN: (纸本)3540651365

The diagnosis of localized prostate cancer is carried out by standard core needle biopsies under guidance of transrectal ultrasound imaging of the prostate gland. This paper describes a 3-D model supported virtual environment for prostate cancer diagnosis and biopsy design. A 3-D deformable reconstruction algorithm is developed to define object surface from digitally-imaged surgical specimens. A virtual environment with a multimodal visualization capability is integrated to simulate prostate biopsy protocols. The new system permits an accurate graphical modeling of the object of interest, the localization and quantification of tumors, and the definition of the pathways of biopsy needles. The technique allows the medical experts to probe and manipulate the data in 3-D view space and to evaluate the performance of simulated biopsies subsequently optimize biopsy techniques. Results and analysis of our experiments demonstrate the effectiveness of the individual modular components of the approach. We conclude with an application of the complete framework to a prostate biopsy simulation and evaluation task. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Biopsy

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Segmentation and measurement of the cortex from 3D MR images 1st

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1st international conference on medical image computing and computer-assisted intervention, MICCAI 1998

作者： Zeng, Xiaolan Staib, Lawrence H. Schultz, Robert T. Duncan, James S. Departments of Electrical Engineering and Diagnostic Radiology Yale University New HavenCT06520-8042 United States Child Study Center Yale University New HavenCT06520-8042 United States

ISBN: (纸本)3540651365

The cortex is the outermost thin layer of gray matter in the brain;geometric measurement of the cortex helps in understanding brain anatomy and function. In the quantitative analysis of the cortex from MR images, extracting the structure and obtaining a representation for various measurements are key steps. While manual segmentation is tedious and labor intensive, automatic, reliable and efficient segmentation and measurement of the cortex remain challenging problems due to its convoluted nature. A new approach of coupled surfaces propagation using level set methods is presented here for the problem of the segmentation and measurement of the cortex. Our method is motivated by the nearly constant thickness of the cortical mantle and takes this tight coupling as an important constraint. By evolving two embedded surfaces simultaneously, each driven by its own image-derived information while maintaining the coupling, a final representation of the cortical bounding surfaces and an automatic segmentation of the cortex are achieved. Characteristics of the cortex such as cortical surface area, surface curvature and thickness are then evaluated. The level set implementation of surface propagation offers the advantage of easy initialization, computational efficiency and the ability to capture deep folds of the sulci. Results and validation from various experiments on simulated and real 3D MR images are provided. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Computational efficiency

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Automatic identificaiton of cortical sulci using a 3D probabilistic atlas 1st

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1st international conference on medical image computing and computer-assisted intervention, MICCAI 1998

作者： Le Goualher, Georges Collins, D. Louis Barillot, Christian Evans, Alan C. McConnell Brain Imaging Center Montréal Neurological Institute McGill University Montréal Canada Laboratoire Signaux et Images en Médecine Université de Rennes France

ISBN: (纸本)3540651365

We present an approach which performs the automatic labeling of the main cortical sulci using a priori information for the 3D spatial distribution of these entities. We have developed a methodology to extract the 3D cortical topography of a particular subject from in vivo observations obtained through MRI. The cortical topography is encoded in a relational graph structure composed of two main features: arcs and vertices. Each vertex contains a parametric surface representing the buried part of a sulcus. Points on this parametric surface are expressed in stereotaxic coordinates (i. e., with respect to a standardized brain coordinate system). Arcs represent the connections between these entities. Manual sulcai labeling is performed by tagging a sulcal surface in the 3-D graph and selecting from a menu of candidate sulcus names. Automatic labeling is dependent on a probabilistic atlas of sulcal anatomy derived from a set of 51 graphs that were labeled by an anatomist. We show how these 3D sulcal spatial distribution maps can be used to perform the identification of the cortical sulci. We focus our attention on the peri-central area (including pre-central, post-central and centrai sulci). Results show that the use of spatial priors permit automatic identification of the main sulci with a good accuracy. © Springer-Verlag Berlin Heidelberg 1998.

关键词： Magnetic resonance imaging

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Establishing perceptual criteria on image quality in diagnostic telepathology

Establishing perceptual criteria on image quality in diagnos...

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IEEE international conference on image Processing

作者： D.J. Foran P. Meer T. Papathomas I. Marsic Leiguang Gong C.A. Kulikowski R.L. Trelstad Department of Pathology and Laboratory Medicine Robert Wood Johnson Medical School BioImaging Laboratory Piscataway NJ USA Department of Computer Science Rutgers University Piscataway NJ USA The Center For Computer Aids for Industrial Productivity Rutgers University Piscataway NJ USA

The potential of lossy image compression is investigated in a well defined task domain, specifically, clinical assessment of chromatic, surgical and hematopathology specimens. Two criteria were employed, just noticeable difference and largest tolerable distortion. Compression tolerances differed among pathologists, but conformed to well defined upper and lower limits. The level of tolerable compression was significantly larger for the second criterion. It is concluded that lossy image compression is feasible for diagnostic pathology and may hold promise for telepathology applications.

关键词： image quality image coding Biomedical imaging medical diagnostic imaging Pathology Distortion measurement Laboratories USA Councils Biomedical computing Biomedical engineering

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FUZZY OBJECTS AND THEIR BOUNDARIES

FUZZY OBJECTS AND THEIR BOUNDARIES

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3rd conference on Visualization in Biomedical computing 1994 (VBC 94)

作者： UDUPA, JK SAMARASEKERA, S VENUGOPAL, KP GREVERA, G UNIV PENN DEPT RADIOLPHILADELPHIAPA 19104

ISBN: (纸本)0819416983

Measured data are inherently inaccurate. Operations done on data for defining, visualizing, manipulating and analyzing object information should attempt to retain these inaccuracies as accurately as possible. The theory of fuzzy sets is a proper mathematical vehicle for this purpose. In this attempt, topological notions such as adjacency, connectedness, and boundary need to be developed starting from fuzzy sets. We develop such a framework in this paper and present algorithms for finding fuzzy connected components and boundaries in digital imagery. We demonstrate the usefulness of these algorithms in medical applications, particularly in separating objects that come close together which are otherwise difficult to segment using hard (non-fuzzy) criteria.

关键词： Fuzzy logic Visualization Surgery Visual analytics Algorithm development image segmentation Volume rendering Binary data Biomedical optics image processing algorithms and systems

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VOLUME REGISTRATION USING THE 3D CORE

VOLUME REGISTRATION USING THE 3D CORE

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3rd conference on Visualization in Biomedical computing 1994 (VBC 94)

作者： LIU, A PIZER, S EBERLY, D MORSE, B ROSENMAN, J CHANEY, E BULLITT, E CARRASCO, V UNIV N CAROLINA MED IMAGE DISPLAY RES GRPCHAPEL HILLNC 27599

ISBN: (纸本)0819416983

The core is a multiscale object description extracted directly from an image in which the significance of object features depends on the scale at which the object is currently being considered. Core descriptions extracted from the same object using different imaging modalities display remarkable similarities despite noise and variations imposed by the imaging devices. Core based registration methods have been successfully employed in examples of 3D registration that would have caused boundary or contour based methods to fail. In this paper, we present an overview of the core, and describe its properties that make it a promising approach toward registration. Our current core-based method of registration is also presented. Results of the registration of 3D volumes from both a single imaging modality and from two different modalities are given.

关键词： image registration Computed tomography Distance measurement Sensors Ultrasonography Composites 3D image processing Bone Chromium medical imaging

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INTERPOLATION BY DIRECTED DISTANCE MORPHING

INTERPOLATION BY DIRECTED DISTANCE MORPHING

引用

3rd conference on Visualization in Biomedical computing 1994 (VBC 94)

作者： BARRETT, W BESS, E BRIGHAM YOUNG UNIV DEPT COMP SCIPROVOUT 84602

ISBN: (纸本)0819416983

Shape-based interpolation (SBI) is used for interpolation between binary serial slice images. Although SBI approximates the interslice geometry more accurately than traditional techniques such as linear (L) or cubic spline (CS) interpolation, SBI produces only a binary result. This paper extends SBI to interpolation of grayscale images (SBIG) using simulated 3D distance maps to produce a grayscale image volume. Results of SBIG are superior visually (sharper detail, no artificial intensities) and quantitatively to L or CS. This is particularly evident in sagittal and coronal reconstructions. Clipping artifacts due to nonoverlapping structures or rapid changes in image brightness are minimized using simulated 3D maps. However, when objects between slices do not overlap, shape-based interpolation results in compressed or nonexistent geometry in some or all of the interpolated slices. The nonoverlapping problem is described and quantified. A new interpolation algorithm, directed distance morphing, is introduced and used to address the nonoverlapping problem.

关键词： 3D image processing Binary data Visualization Tissues Computed tomography Skull image processing Magnetic resonance imaging medical imaging Volume rendering

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REGISTRATION OF ULTRASOUND ECHOGRAPHY FOR INTRAOPERATIVE USE - A NEWLY DEVELOPED MULTIPROPERTY METHOD

REGISTRATION OF ULTRASOUND ECHOGRAPHY FOR INTRAOPERATIVE USE...

引用

3rd conference on Visualization in Biomedical computing 1994 (VBC 94)

作者： HATA, N SUZUKI, M DOHI, T ISEKI, H TAKAKURA, K HASHIMOTO, D UNIV TOKYO FAC ENGNDEPT PRECIS MACHINERY ENGNBUNKYO KUTOKYO 113JAPAN

ISBN: (纸本)0819416983

Nowadays, several studies on 3D medical image registration are being investigated. The main purpose of these studies is to integrate complimentary information provided by different modalities. This paper describes a newly developed registration method of ultrasound echography to 3D medical image. The registration process consists of two stages. In the first stage, a registration process of the ultrasound echography to the pre- operative 3D images is performed using a position sensor. This is a rigid transformation, which can't provide a perfect match because the intra-operative organ is deformed or moved. The second step is a local matching process, where the current position of the ultrasound echography is approximated with a search-based surface matching algorithm. We used the 3D chamfer matching for this approximation. In this method, a goodness-of- match function, i.e., generalized distance, that rates the geometrical transformation is computed and minimized. In a preliminary experiment, the search-based matching process was examined. The algorithm and its accuracy were evaluated with an artificial transformed set of coordinates given as the initial guess. We also performed a clinical application and results confirmed the suitability of this method to clinical use.

关键词： Ultrasonography 3D image processing Magnetic resonance imaging medical imaging image registration Position sensors Surgery Tolerancing Tumors image processing

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TRACKING THE INTERFRAME DEFORMATION OF STRUCTURES IN 3D ULTRASOUND IMAGING

TRACKING THE INTERFRAME DEFORMATION OF STRUCTURES IN 3D ULTR...

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3rd conference on Visualization in Biomedical computing 1994 (VBC 94)

作者： SYN, M GOSLING, JPM PRAGER, RW BERMAN, L CROWLEY, J UNIV CAMBRIDGE DEPT ENGNCAMBRIDGEENGLAND

ISBN: (纸本)0819416983

Three dimensional ultrasound imaging with a freehand probe allows a flexible approach to medical visualization and diagnosis. Given the imperfect accuracy of proprioceptive devices used to log the position and tilt of the probe, it is important to utilize the position constraints provided by image evidence. This is also important if we wish to consider the visualization of structures which move significantly during acquisition, such as a heart of fetus. We present here an initial approach to more robust segmentation and shape recovery in a particularly noisy modality. We consider 2D segmentation based on edge evidence, using first an active contour, then finding an optimal segmentation using simulated annealing. Correspondence between contours in adjacent frames can only be solved in general cases by use of a 3D prior model. Dynamic physics-based mesh models as used by Pentland [20] and Nastar [17], allow for shape modelling, then over-constrained 3D shape recovery can be performed using the intrinsic vibration modes of the model.

关键词： 3D modeling image segmentation Ultrasonography 3D image processing Heart Visualization Finite element methods Principal component analysis Algorithms Data modeling

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