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检索条件"任意字段=3rd International Conference on Medical Image Computing and Computer-Assisted Intervention"

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Robust 3D deformation field estimation by template propagation 3rd

Robust 3D deformation field estimation by template propagati...

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3rd international conference on medical image computing and computer-assisted intervention, MICCAI 2000

作者： Rösch, P. Netsch, T. Quist, M. Penney, G.P. Hil, D.L.G. Weese, J. Philips Research Laboratories Division Technical Systems Röntgenstraße 24–26 HamburgD-22335 Germany MIMIT Advanced Development Philips Medical Systems Nederland B.V Veenpluis 4–6 BestNL-5680 DA Netherlands Radiological Sciences and Biomechanical Engineering The Guy’s King’s and St Thomas’ School of Medicine King’s College London LondonSE1 9RT United Kingdom

ISBN: (纸本)3540411895

A new robust method to automatically determine a 3D motion vector field for medical images in the presence of large deformations is proposed. The central idea of this approach is template propagation. Starting from an image position where valid starting estimates are known, small sub-volumes (templates) are registered rigidly. Parameters of successfully registered templates serve as starting estimates for its neighbors. The registration proceeds layer by layer until the relevant image volume is covered. Based on this principle, a template-based registration algorithm has been implemented. Using the resulting set of corresponding points, the parameters of a non-rigid transformation scheme are determined. The complete procedure has been validated using four MR image pairs containing considerable deformations. In order to obtain an estimate for the accuracy, homologous points determined by template propagation are compared to corresponding landmarks defined by an expert. For landmarks with sufficient structure, the average deviation is well below the voxel size of the images. Because of the larger number of homologous points available, transformations incorporating the output of template propagation yielded a larger similarity between the reference image and the transformed image than an elastic transformation based on landmark pairs. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Deformation

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image registration by maximization of combined mutual information and gradient information

Image registration by maximization of combined mutual inform...

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3rd international conference on medical image computing and computer-assisted intervention, MICCAI 2000

作者： Pluim, Josien P. W. Antoine Maintz, J.B. Viergever, Max A. Image Sciences Institute University Medical Center Utrecht Utrecht Netherlands

ISBN: (纸本)3540411895

Despite generally good performance, mutual information has also been shown by several researchers to lack robustness for certain registration problems. A possible cause may be the absence of spatial information in the measure. The present paper proposes to include spatial information by combining mutual information with a term based on the image gradient of the images to be registered. The gradient term not only seeks to align locations of high gradient magnitude, but also aims for a similar orientation of the gradients at these locations. Results of combining both standard mutual information as well a normalized measure are presented for rigid registration of three-dimensional clinical images (MR, CT and PET). The results indicate that the combined measures yield a better registration function than mutual information or normalized mutual information per se. The accuracy of the combined measures is compared against a screw marker based gold standard, revealing a similar accuracy for the combined measures to that of the standard measures. Experiments into the robustness of the measures with respect to starting position imply a clear improvement in robustness for the measures including spatial information. © Springer-Verlag Berlin Heidelberg 2000.

关键词： computerized tomography

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Intraoperative segmentation and nonrigid registration for image guided therapy 3rd

Intraoperative segmentation and nonrigid registration for im...

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3rd international conference on medical image computing and computer-assisted intervention, MICCAI 2000

作者： Warfield, Simon K. Nabavi, Arya Butz, Torsten Tuncali, Kemal Silverman, Stuart G. Black, Peter McL Jolesz, Ferenc A. Kikinis, Ron Surgical Planning Laboratory Harvard Medical School and Brigham and Women’s Hospital 75 Francis St BostonMA02115 United States Department of Radiology Harvard Medical School and Brigham and Women’s Hospital 75 Francis St BostonMA02115 United States Department of Surgery Harvard Medical School and Brigham and Women’s Hospital 75 Francis St BostonMA02115 United States Signal Processing Laboratory Swiss Federal Institute of Technology at Lausanne Lausanne1015 Switzerland

ISBN: (纸本)3540411895

Our goal was to improve image guidance during minimally invasive image guided therapy by developing an intraoperative segmentation and nonrigid registration algorithm. The algorithm was designed to allow for improved navigation and quantitative monitoring of treatment progress in order to reduce the time required in the operating room and to improve outcomes. The algorithm has been applied to intraoperative images from cryotherapy of the liver and from surgery of the brain. Empirically the algorithm has been found to be robust with respect to imaging characteristics such as noise and intensity inhomogeneity and robust with respect to parameter selection. Serial and parallel implementations of the algorithm are sufficiently fast to be practical in the operating room. The contributions of this work are an algorithm for intraoperative segmentation and intraoperative registration, a method for quantitative monitoring of cryotherapy from real-time imaging, quantitative monitoring of brain tumor resection by comparison to a preoperative treatment plan and an extensive validation study assessing the reproducibility of the intraoperative segmentation. We have evaluated our algorithm with six neurosurgical cases and two liver cryotherapy cases with promising results. Further clinical validation with larger numbers of cases will be necessary to determine if our algorithm succeeds in improving intraoperative navigation and intraoperative therapy delivery and hence improves therapy outcomes. © Springer-Verlag Berlin Heidelberg 2000.

关键词： image enhancement

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Model-updated image-guided neurosurgery: Preliminary analysis using intraoperative MR 3rd

Model-updated image-guided neurosurgery: Preliminary analysi...

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3rd international conference on medical image computing and computer-assisted intervention, MICCAI 2000

作者： Miga, Michael I. Staubert, Andreas Paulsen, Keith D. Kennedy, Francis E. Tronnier, Volker M. Roberts, David W. Hartov, Alex Platenik, Leah A. Lunn, Karen E. Dartmouth College Thayer School of Engineering HB8000 HanoverNH03755 United States Dartmouth Hitchcock Medical Center LebanonNH03756 United States University Hospital Department of Neurological Surgery Heidelberg School of Medicine Im Neuenheimer Feld 400 HeidelbergD-69120 Germany

ISBN: (纸本)3540411895

In this paper, initial clinical data from an intraoperative MR system are compared to calculations made by a three-dimensional finite element model of brain deformation. The preoperative and intraoperative MR data was collected on a patient undergoing a resection of an astrocytoma, grade 3 with non-enhancing and enhancing regions. The image volumes were co-registered and cortical displacements as well as subsurface structure movements were measured retrospectively. These data were then compared to model predictions undergoing intraoperative conditions of gravity and simulated tumor decompression. Computed results demonstrate that gravity and decompression effects account for approximately 40% and 30%, respectively, totaling a 70% recovery of shifting structures with the model. The results also suggest that a non-uniform decompressive stress distribution may be present during tumor resection. Based on this preliminary experience, model predictions constrained by intraoperative surface data appear to be a promising avenue for correcting brain shift during surgery. However, additional clinical cases where volumetric intraoperative MR data is available are needed to improve the understanding of tissue mechanics during resection. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Tumors

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A 3-D system for planning and simulating minimally- invasive distraction osteogenesis of the facial skeleton 3rd

A 3-D system for planning and simulating minimally- invasive...

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3rd international conference on medical image computing and computer-assisted intervention, MICCAI 2000

作者： Everett, Peter C. Seldin, Edward B. Troulis, Maria Kaban, Leonard B. Kikinis, Ron Surgical Planning Laboratory Brigham and Women’s Hospital Harvard Medical School 75 Francis Street BostonMA02115 United States Department of Oral and Maxillofacial Surgery Massachusetts General Hospital Harvard Medical School 55 Fruit Street BostonMA02114 United States

ISBN: (纸本)3540411895

Three-dimensional planning tools will enable the use of minimallyinvasive distraction osteogenesis for the correction of craniomaxillofacial deformities by simulating treatment, precisely quantifying movement vectors, and aiding pre and post-treatment evaluation. Current techniques extrapolate 3D surgical movements and outcomes based on standard 2D radiographs. Surgical planning and outcome evaluation would be greatly improved by an accurate, reproducible and reliable 3D treatment planning system. Building upon a software foundation that includes the 3D Slicer of the Brigham & Women’s Hospital, and the Visualization Toolkit (VTK) of Schroeder, Martin & Lorensen, we add algorithms that support interactive cutting of large triangulated surface models, collision detection, landmark-based registration, and cephalometric analysis. The oriented bounding-box tree (OBB tree) structure is used throughout to enhance the interactivity of selection, collision detection, and cutting. The cutting tool is notable for its generality and preservation of topological closure in the resultant models. In a retrospective case study, the collision of the proximal fragment of the distracted mandible with the skull base is detected and the resulting 3D bone movements are quantified. The distracted bone volume is computed. In prospective cases, this system will be used to compute the placement and configuration of appropriate buried distractor(s). © Springer-Verlag Berlin Heidelberg 2000.

关键词： Bone

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3rd international conference on Advances in Multimodal Interfaces, ICMI 2000

3rd International Conference on Advances in Multimodal Inter...

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3rd international conference on Multimodal Interfaces, ICMI 2000

ISBN: (纸本)3540411801

The proceedings contain 86 papers. The special focus in this conference is on Affective, Perceptual computing and Gesture Recognition. The topics include: Gaze and speech in attentive user interfaces;resolving references to graphical objects in multimodal queries by constraint satisfaction;human-robot interface based on speech understanding assisted by vision;designing multi-sensory models for finding patterns in stock market data;visual recognition of emotional states;an experimental study of input modes for multimodal human-computer interaction;emotion expression functions in multimodal presentation;a sound magicboard;a head gesture recognition algorithm;gestures recognition for a walking person by using a sequence of spatially reduced range image;inputting device by hand gesture tracking and recognition;a self-reliance smoothness of the vision-based recognition of hand gestures;hand shape extraction and understanding by virtue of multiple cues fusion technology;head pose estimation for video-conferencing with multiple cameras and microphones;a general framework for face detection;glasses detection for face recognition using bayes rules;real-time face tracking under partial occlusion and illumination change;eye-state action unit detection by gabor wavelets;internet implementation of facial caricature system PICASSO;recognition of human faces based on fast computation of circular harmonic components;multiple faces tracking and zooming system;face warping using a single image;hierarchical framework for facial expression recognition;detecting facial features on images with multiple faces;the synthesis of realistic human face and gravity-center template based human face feature detection.

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MRI - Mammography 2D/3D data fusion for breast pathology assessment 3rd

MRI - Mammography 2D/3D data fusion for breast pathology ass...

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3rd international conference on medical image computing and computer-assisted intervention, MICCAI 2000

作者： Behrenbruch, Christian P. Marias, Kostas Armitage, Paul A. Yam, Margaret Moore, Niall English, Ruth E. Brady, J. Michael Engineering Science Oxford University Parks Road OxfordOX1 3PJ United Kingdom Department of Surgery Royal Free and University College Medical School UCL LondonNW3 2QG United Kingdom Magnetic Resonance Imaging Centre John Radcliffe Hospital Headley Way OxfordOX3 9DU United Kingdom Breast Care Unit Churchill Hospital OxfordOX3 7LJ United Kingdom

ISBN: (纸本)3540411895

Increasing use is being made of contrast-enhanced Magnetic Resonance Imaging (Gd-DTPA) for breast cancer assessment since it provides 3D functional information via pharmacokinetic interaction between contrast agent and tumour vascularity, and because it is applicable to women of all ages. Contrast-enhanced MRI (CE-MRI) is complimentary to conventional X- ray mammography since it is a relatively low-resolution functional counterpart of a comparatively high-resolution 2D structural representation. However, despite the additional information provided by MRI, mammography is still an extremely important diagnostic imaging modality, particularly for several common conditions such as ductal carcinoma in-situ (DCIS) where it has been shown that there is a strong correlation between microcalcification clusters and malignancy [1], Pathological indicators such as calcifications and fine spiculations are not visible in CE-MRI and therefore there is clinical and diagnostic value to fusing the high-resolution structural information available from mammography with the functional data acquired from MRI imaging. This paper presents a novel data fusion technique whereby medio-lateral (ML) and cranio-caudal (CC) mammograms (2D data) are registered to 3D contrast- enhanced MRI volumes. We utilise a combination of pharmacokinetic modelling, projection geometry, wavelet-based landmark detection and thin- plate spline non-rigid registration to transform the coordinates of regions of interest (ROIs) from the 2D mammograms to the spatial reference frame of the contrast-enhanced MRI volume. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Magnetic resonance imaging

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Three-dimensional measurement of the femur using clinical ultrasound: Developing a basis for image guided intramedullary nail fixation of the femur 3rd

Three-dimensional measurement of the femur using clinical ul...

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3rd international conference on medical image computing and computer-assisted intervention, MICCAI 2000

作者： Young, Dominic I. Staniforth, M. Hu, Richard W. McCaig Centre for Joint Injuries and Arthritis Research University of Calgary 2500 University Drive N.W CalgaryABT2N 1N4 Canada Calgary FootHills Hospital Department of Orthopaedic Surgery 1403 29 Street N.W CalgaryABT2N 2T9 Canada

ISBN: (纸本)3540411895

Purpose: Quantify the precision and accuracy in coordinate measurements of anatomic landmarks of the femur using spatially tracked ultrasound (US) images. Establish the limits on coordinate measurement errors required for accurate determination of bone fragment alignment during intramedullary (IM) nail fixation of femoral shaft fractures. Relevance: A surgical guidance system based on a three-dimensional (3D) representation of femoral anatomy from US images would eliminate the hazard of radiation exposure and potentially increase the accuracy of IM nailing procedures. Summary: Fiducial spheres (dia. 6.3mm) were embedded in a plastic femur to mark anatomic landmarks. The femur was suspended in a water tank and could be rotated about its long axis. An US probe was mounted to a track above the femur. images were collected at 5mm increments along the anterior, posterior, lateral and medial aspects. After the US experiment, fiducial centroid locations (x,y,z–coordinates) were measured in a coordinate measuring machine (CCM). Reconstructed fiducial positions from US images were compared to the CMM data to assess precision and accuracy. A numerical model relating errors in landmark coordinate measurements to rigid body alignment was implemented. The mean precision (std-dev.) in fiducial coordinate measurements was 1.69mm. Mean and maximum errors in fiducial positions were 17.65mm and 58.01mm, respectively. At the observed level of accuracy in coordinate measurements, the model predicted rigid body rotation errors of 3.4 (SD = 2.4)° and translation errors of 4.7 (SD = 3.2)mm. A proof-of-concept has been demonstrated in the use of clinical US to obtain a quantitative description of femoral anatomy in a 3D framework. The model of error limits provided a basis for assessing the capability of a tracked US system in the context of a clinical criterion for rotational alignment (anteversion angle). Accuracy requirements for landmark coordinate measurements were at the limits of th

关键词： Errors

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Understanding the "Demon's Algorithm": 3D non-rigid registration by gradient descent 2nd

Understanding the "Demon's Algorithm": 3D non-rigid registra...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Pennec, X Cachier, P Ayache, N INRIA Sophia Epidaure Project F-06902 Sophia Antipolis France

ISBN: (纸本)354066503X

The "Demons Algorithm" in increasingly used for non-rigid registration of 3D medical images. However, if it is fast and usually accurate, the algorithm is based on intuitive ideas about image registration and it is difficult to predict when it will fail and why. We show in this paper that this algorithm can be considered as an approximation of a second order gradient descent on the sum of square of intensity differences criterion. We also reformulate Gaussian and physical model regularizations as minimization problems. Experimental results on synthetic and 3D Ultrasound images show that this formalization helps identifying the weak points of the algorithm and offers new research openings.

关键词： medical imaging

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Cylindrical echocardiographic image segmentation based on 3D deformable models 2nd

Cylindrical echocardiographic image segmentation based on 3D...

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2nd international conference on medical image computing and computer-assisted intervention (MICCAI 99)

作者： Montagnat, J Delingette, H Malandain, G INRIA Sophia Epidaure Project F-06902 Sophia Antipolis France

ISBN: (纸本)354066503X

This paper presents a 3D echocardiographic image segmentation procedure based on deformable surfaces. We first propose to adapt filtering techniques to the cylindrical geometry of several 3D ultrasound image devices. Then we compare the effect of different external forces on a surface template deformation inside volumetric echocardiographic images. An original method involving region grey-level analysis along the model normal directions is described. We rely on an a priori knowledge of the cardiac left ventricle shape and on region grey-level values to perform a robust segmentation. During the deformation process the allowable surface deformation is modified. Finally, we show experimental results on very challenging sparse and noisy images and quantitative measurements of the left ventricle volume.

关键词： image segmentation

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