In this paper we describe a completely automated volume-based method for the segmentation of the left and fight ventricles in 4D tagged MR (SPAMM) images for quantitative cardiac analysis. We correct the background in...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
In this paper we describe a completely automated volume-based method for the segmentation of the left and fight ventricles in 4D tagged MR (SPAMM) images for quantitative cardiac analysis. We correct the background intensity variation in each volume caused by surface coils using a new scale-based fuzzy connectedness procedure. We apply 3D grayscale opening to the corrected data to create volumes containing only the blood filled regions. We threshold the volumes by minimizing region variance or by an adaptive statistical thresholding method. We isolate the ventricular blood filled regions using a novel approach based on spatial and temporal shape similarity. We use these regions to define the endocardium contours and use them to initialize an active contour that locates the epicardium through the gradient vector flow of an edgemap of a grayscale-closed image. Both quantitative and qualitative results on normal and diseased patients are presented.
In total hip arthroplasty(THA), complications such as dislocation, loosening, or wearing of the sliding surface are serious clinical problem, and the daily motion of patients has been limited to some extent. However, ...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
In total hip arthroplasty(THA), complications such as dislocation, loosening, or wearing of the sliding surface are serious clinical problem, and the daily motion of patients has been limited to some extent. However, it is hard to recognize the situation of the components during movement and to predict complications. We have developed the 4-dimensional human model that can visualize the motion of the patient's skeleton and estimate the risk of complications using computer simulation. At first we constructed a 3-dimensional skeletal model of the patient's lower limb from CT data. Then we acquired motion capture data from an infrared position sensor (VICON512, VICON Motion Systems, UK), and drove the patient's skeletal model corresponding to the captured data. Thus we were able to predict the prognosis after the installation of the artificial hip joint, and we have examined the accuracy of the measurements in this system following an experiment using an open MRI.
The three-dimensional segmentation of regions of interest in medicalimages, be it a 2D slice by slice based approach or directly across the 3D dataset, has numerous applications for the medical professional. These ap...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
The three-dimensional segmentation of regions of interest in medicalimages, be it a 2D slice by slice based approach or directly across the 3D dataset, has numerous applications for the medical professional. These applications may involve something as simple as visualisation up to more critical tasks such as volume estimation, tissue quantification and classification, the detection of abnormalities and more. In this paper we describe a method which aims to combine two of the more popular segmentation techniques: the watershed segmentation and the active contour segmentation. Watershed segmentation provides unique boundaries for a particular image or series of images but does not easily allow for the discrete nature of the image and the image noise. Active contours or snakes do possess this generalisation or smoothing property but are difficult to initialise and usually require to be close to the boundary of interest to converge. We present a hybrid approach by segmenting a region of interest (ROI) using a 3D marker-based watershed algorithm. The resulting ROI's boundaries are then converted into a contour, using a contour following algorithm which is explained during the course of the paper. Once the contours are determined, different parameter settings of internal/external forces allow the expert user to adapt the initial segmentation. The approach thus yields a fast initial segmentation from the watershed algorithm and allows fine-tuning using active contours. Results of the technique are illustrated on 3D colon, kidney and liver segmentations from MRI datasets.
Neurovascular compression syndromes are caused by a pathological contact between vessels and the root entry or exit zone of cranial nerves. Associated with a number of neurological diseases such as trigeminal neuralgi...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
Neurovascular compression syndromes are caused by a pathological contact between vessels and the root entry or exit zone of cranial nerves. Associated with a number of neurological diseases such as trigeminal neuralgia, hemifacial spasm or vertigo, there is also strong evidence for a direct relation with essential arterial hypertension. To treat the related conditions, operative microvascular decompression has proven to be very effective. So far, as a drawback for the examination, 2D representations of tomographic volumes served as exclusive source of information. Aiming at an improved spatial understanding, we introduce a noninvasive and fast approach providing clear delineation and interactive 3D visualization of all relevant structures. It is based on strongly T2 weighted MR volumes with sufficiently high resolution. Due to the size of the nerves and vessels at the brainstem, an explicit segmentation is extremely difficult. Therefore, we propose to segment only coarse structures with a sequence of filtering and volume growing. Consecutively, implicit segmentation with pre-defined transfer functions is applied to delineate the tiny target structures included in the area of cerebrospinal fluid. Additionally, we suggest registration with MR angiography to differentiate between vessels and nerves on one side and between arteries and veins on the other side. Overall, our approach contributes significantly to an optimized 3D analysis of vascular compression syndromes. The high value for the planning of surgery is demonstrated with several clinical examples.
For applications of volume visualization in medicine, it is important to assure that the 3D images show the true anatomical situation, or at least to know about their limitations. In this paper, various methods for ev...
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We propose a novel method for fully automated segmentation and tracking of the myocardium and left and right ventricles (LV and RV) using 4D MR images. The method uses non-rigid registration to elastically deform a ca...
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ISBN:
(数字)9783540457862
ISBN:
(纸本)3540442243
We propose a novel method for fully automated segmentation and tracking of the myocardium and left and right ventricles (LV and RV) using 4D MR images. The method uses non-rigid registration to elastically deform a cardiac atlas built automatically from 14 normal subjects. The registration yields robust performance and is particularly suitable for processing a sequence of 3D images in a cardiac cycle. Transformations are calculated to obtain the deformations between images in a sequence. The registration algorithm aligns the cardiac atlas to a subject specific atlas of the sequence generated with the transformations. The method relates images spatially and temporally and is suitable for measuring regional motion and deformation, as well as for labelling and tracking specific regions of the heart. In this work experiments for the registration, segmentation and tracking of a cardiac cycle are presented on nine MRI data sets. Validation against manual segmentations and computation of the correlation between manual and automatic tracking and segmentation on 141 3D volumes were calculated. Results show that the procedure can accurately track the left ventricle (r=0.99), myocardium (r=0.98) and right ventricle (r=0.96). Results for segmentation are also obtained for left ventricle (r=0.92), myocardium (r=0.82) and right ventricle (r=0.90).
We describe a new algorithm for 3D, and potentially higher, volume rendering. This algorithm takes advantage of the shear-warp factorization technique to reduce matrix computing and a hierarchical data structure for b...
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Accurate detection of prostate boundaries is required in many diagnostic and treatment procedures for prostate diseases. In this paper, a new approach based on level set method to perform 3D prostate surface detection...
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The Ilizarov method is used to correct bone deformities by using an adjustable frame to simultaneously perform alignment and distraction of an open-wedge osteotomy. We have adapted the idea of fixation-based surgery, ...
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