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检索条件"任意字段=Conference on Physiology and Function from Multidimensional Images"

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Geometrical and physical models for the recovery of quantitative information from medical image analysis

Geometrical and physical models for the recovery of quantita...

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International conference on Pattern Recognition

作者： J.S. Duncan Departments of Diagnostic Radiology and Electrical Engineerg Section of Bio-Imaging Sciences Yak University New Heaven CT USA

Summary form only given. The development of methods to accurately and reproducibly recover useful quantitative information from medical images is often hampered by uncertainties in handling these data related to image acquisition parameters, the variability of normal human anatomy and physiology, the presence of disease or other abnormal conditions, and a variety of other factors. Several image analysis strategies are presented that make use of models based on geometrical and physical/biomechanical information to help constrain the range of possible solutions in the presence of such uncertainty. Included are approaches for image segmentation, object motion tracking, shape/volume measurement, and deformation analysis. These ideas are presented in the context of three problem/application areas within the general field of organ/tissue-level medical image analysis: (i) the characterization of cardiac function from noninvasive 4D image data, (ii) the analysis of neuro-anatomical structure from magnetic resonance images, and (iii) the development of an approach that compensates for brain shift in the image data during image-guided neurosurgery. The talk will include a description of the problem areas and visual examples of the image datasets being used, an overview of the mathematical techniques involved and a presentation of results obtained when analyzing patient image data using these methods.

关键词： Solid modeling Biomedical imaging Image analysis Image motion analysis Magnetic analysis Data analysis Uncertainty Human anatomy physiology Diseases

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Medical imaging 2001 : physiology and function from multidimensional images

Medical imaging 2001 : Physiology and function from multidim...

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Medical Imaging 2001: physiology and function from multidimensional images

The proceedings contains 62 papers from Medical Imaging 2001: physiology and functions from multidimensional images. The topics discussed included: physiologic modeling from images;virtual endoscopy;dynamic imaging;new development in functional imaging;lung imaging;imaging of the vasculature;functional magnetic resonance imaging;brain imaging and poster session.

关键词： Medical imaging

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Using intra-operative MRI to assess bleeding

Using intra-operative MRI to assess bleeding

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Medical Imaging 2001 conference

作者： Liu, HY Hall, WA Martin, AJ Truwit, CL Univ Minnesota Dept Radiol & Neurosurg Minneapolis MN 55455 USA

ISBN: (纸本)0819440078

Immediate detection of any surgically induced hemorrhage prior to the closure is important for minimizing the unnecessary post surgical complications. In the case of hemorrhage, the surgical site of interests often involves hemorrhagic blood in the presence of CSF as well as air pockets. It is known that the hemorrhagic blood or air has a different magnetic susceptibility from its surrounding tissue, and CSF has long T1 and T2. Based on these differences, a set of complimentary imaging techniques (T2, FLAIR, and GE) were optimized to reveal the existence of surgically induced acute hemorrhage. Among 330 neurosurgical cases, one relatively severe hemorrhage has been successfully found intra-operatively using the concept. During the case, a new hyperintense area close to the primary motor cortex was initially noticed on T2 weighted HASTE images. As soon as it was found to increase in size rapidly, the patient was treated immediately via craniotomy for aspiration of the intra-parenchymal blood. Owing to early detection and treatment, the patient was completely free of motor deficits. Besides, there were ten much less severe hemorrhages have been noticed using the method. The proper post-surgical care was planned to closely follow-up the patient for any sign of hemorrhage.

关键词： multidimensional images intra-operative MRI hemorrhage detection MR-guided neurosurgery

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Voxel-coding method for quantification of vascular structure from 3D images

Voxel-coding method for quantification of vascular structure...

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Medical Imaging 2001 conference

作者： Soltanian-Zadeh, H Shahrokni, A Zoroofi, RA Univ Tehran Tehran 14399 Iran

ISBN: (纸本)0819440078

This paper presents an image processing method for information extraction from 3D images of vasculature. It automates the study of vascular structures by extracting quantitative information such as skeleton, length, diameter, and vessel-to-tissue ratio for different vessels as well as their branches. Furthermore, it generates 3D visualization of vessels based on desired anatomical characteristics such as vessel diameter or 3D connectivity. Steps of the proposed approach are as follows. 1) Preprocessing, in which intensity adjustment, optimal thresholding, and median filtering are done. 2) 3D thinning, in which medial axis and skeleton of the vessels are found. 3) Branch labeling, in which different branches are identified and each voxel is assigned to the corresponding branch. 4) Quantitation, in which length of each branch is estimated, based on the number of voxels assigned to it, and its diameter is calculated using the medial axis direction. 5) Visualization, in which vascular structure is shown in 3D, using color coding and surface rendering methods. We have tested and evaluated the proposed algorithms using simulated images of multi-branch vessels and real confocal microscopic images of the vessels in rat brains. Experimental results illustrate performance of the methods and usefulness of the results for medical image analysis applications.

关键词： confocal microscopy image analysis vessel quantification vasculature voxel coding

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Quantitative analysis and visualization of the endocardial and epicardial walls using gated SPECT images

Quantitative analysis and visualization of the endocardial a...

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Medical Imaging 2001 conference

作者： Choi, SM Lee, YK Kim, MH Ewha Womans Univ Seodaemun Gu Seoul 120750 South Korea

ISBN: (纸本)0819440078

Accurate estimation of ventricular volume and motion is very important for cardiac diagnosis and treatment planning. Physicians typically calculate ventricular volume by using a few slice images and simplified equations. Such methods are generally limited by assumptions about ventricular shape particularly when the ventricle is distorted by ischemia or infarction. They also estimate ventricular motion by sequentially examining slice and phase images. However, it doesn't always give the same results. In this paper, we present an efficient double time-varying deformable model to estimate left ventricular volume and mass more accurately and to analyze endocardial and epicardial wall motions separately. At each time step, the model first finds global rigid motions and then tracks local non-rigid motions based on 3-D point sets extracted from the surface of myocardium, which are classified into endocardial or epicardial walls. The reconstructed endocardial and epicardial walls are visualized at the same time or separately and their motions are quantitatively analyzed. Results of application to gated SPECT images are given. Using the presented model, physicians can estimate the volume change over the cardiac cycle more easily and accurately, and evaluate ventricular motions reproducibly and objectively.

关键词： time-varying deformable model modal analysis left ventricle gated SPECT images

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A new method for quantitative analysis of multiple scelerosis using MR images

A new method for quantitative analysis of multiple scelerosi...

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Medical Imaging 2001 conference

作者： Chen, DQ Huang, W Christodoulou, C Li, LH Qian, HY Krupp, L Liang, Z SUNY Stony Brook Sch Med Dept Radiol Stony Brook NY 11794 USA

ISBN: (纸本)0819440078

A method for quantitative analysis of multiple sclerosis (MS) was presented. An automatic self-adaptive image segmentation algorithm was first employed to classify voxels in multi-spectral magnetic resonance (MR) images. The segmentation results from multi-spectral MR images were then combined to obtain reliable results. The volumes of brain tissues and cerebral spinal fluid (CSF) were finally extracted. Since it is fully automated, the results of the segmentation algorithm are completely reproducible. The repeatability of the presented method was evaluated on volunteer data sets. The variation is less than 0.2% for the intra-cranial volume, the whole brain volume, the central CSF, the white matter (WM) and the gray matter (GM). The variation of 3% for the entire CSF is mainly due to the peripheral CSF part, which has more partial volume effect and is less important than the central one. Methods for minimizing this variation are under investigation. These measurements demonstrate the potential for study on whole brain atrophy and cerebral atrophy. Feasibility studies on 14 MS patients were performed. The results are promising.

关键词： adaptive segmentation multi-spectral MRI quantative analysis multipl sclerosis brain atrophy

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Virtual angioscopic visualization and analysis of coronary aneurysms using intravascular ultrasound images

Virtual angioscopic visualization and analysis of coronary a...

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Medical Imaging 2001 conference

作者： Ayeni, TAA Holmes, DR Robb, RA Mayo Clin & Mayo Fdn Biomed Imaging Resource Rochester MN 55905 USA

ISBN: (纸本)0819440078

Kawasaki Disease is an inflammatory illness of young children that can seriously affect the cardiovascular system. The disease may cause coronary artery aneurysms, a thinning and dilation of the arterial wall when the wall is weakened by disease. Such aneurysms significantly increase the risk of rupture of the arterial wall, an event from which few patients survive. Due to the largely asymptotic nature of coronary aneurysms, diagnosis must be timely and accurate in order for treatment to be effective. Currently, aneurysms are detected primarily using X-ray angiography, MRI, and CT images. Increased insight into the disease and its effects on the arterial wall can be gained by multi-dimensional computerized visualization and quantitative analysis of diagnostic images made possible by the techniques of intravascular imaging and virtual endoscopy. Intravascular ultrasound images (IVUS) of a coronary artery exhibiting aneurysms were acquired from a patient with Kawasaki Disease. The disease is characterized by low luminescent in the IVUS images. Image segmentation of the abnormal, prominent anechoic regions branching from the lumen and originating within other layers of the arterial wall was performed and each region defined as a separate object. An object segmentation map was generated and used in perspective rendering of the original image volume set at successive locations along the length of the arterial segment, producing a "fly-through" of the interior of the artery. The diseased region (aneurysm) of the wall was well defined by the differences in luminal size and by differences in appearance of the arterial wall shape observed during virtual angioscopic fly-throughs. Erosions of the endovascular surface caused pronounced horizontal and vertical ballooning of the lumen. Minute cracks within the unaffected luminal areas revealed possible early development of an aneurysm on the contralateral wall, originating in the medial section of the artery and spreading outward

关键词： coronary arteries aneurysm intravascular ultrasound virtual endoscopy

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Transition zone: effect on image quality of CT virtual reality

Transition zone: effect on image quality of CT virtual reali...

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Medical Imaging 2001 conference

作者： Hopper, KD The Pennsylvania State Univ (United States)

ISBN: (纸本)0819440078

CT virtual reality is an exciting new technique for use in the colon, airways, and paranasal. sinuses. Most work in this exciting new modality, however, has used surface rendering where a single threshold value is chosen to delineate a 100% opaque wall from an air-filled lumen. We have found that there is a transition layer 3-4 voxels thick between the wall and the lumen corresponding to the mucosa. When this transition layer is reconstructed separately using volumetric rendering, the mucosal detail is dramatically improved. We performed a study to prove this point using 27 anatomical sites and pathological lesions evaluated by 4 blinded reviewers. Each lesion was reconstructed with surface rendering with 3 different threshold values, and with volumetric rendering with the transition zone (mucosa) reconstructed separately. In this study, volumetric rendering with the transition zone reconstructed as a separate structure overwhelmingly was rated as best (p=0.0001). The added mucosal detail with volumetric rendering using this approach is significant. This technique should be considered for all virtual reality applications.

关键词： images, virtual computed tomography (CT), virtual reality computed tomography (CT, volumetric)

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Evaluation and application of 3D lung warping and registration model using HRCT images

Evaluation and application of 3D lung warping and registrati...

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Medical Imaging 2001 conference

作者： Fan, L Chen, CW Reinhardt, JM Hoffman, EA Siemens Corp Res Dept Image & Visualizat Princeton NJ 08536 USA

ISBN: (纸本)0819440078

Image-based study of structure-function relationships is a challenging problem in that the structure or region of interest may vary in position and shape on images captured over time. Such variation may be caused by the change in body posture or the motion of breathing and heart beating. Therefore, the structure or region of interest should be registered before any further regional study can be carried out. In this paper, we propose a novel approach to study the structure-function relationship of ventilation using a previously developed 3D lung warping and registration model. First, we evaluate the effectiveness of the lung warping and registration model using a set of criteria, including apparent lung motion patterns and ground truths. Then, we study the ventilation by integrating the warping model with air content calibration. The warping model is applied to three CT lung data sets, obtained under volume control of FRC, 40% and 75% vital capacity (VC). Dense displacement fields are obtained to represent deformation between different lung volume steps. For any specific region of interest, we first register it between images over time using the dense displacement, and then estimate the corresponding regional inspired air content. Assessments include change of regional volume during inspiration, change of regional air content, and the distribution of regional ventilation. This is the first time that 3D warping of lung images is applied to assess clinically significant pulmonary functions.

关键词： volumetric warping structure-function relationship ventilation air content displacement estimation 3D registration lung images continuum mechanics surface mapping

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Fast pulmonary contour extraction in X-Ray CT images: A methodology and quality assessment

Fast pulmonary contour extraction in X-Ray CT images: A meth...

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Medical Imaging 2001 conference

作者： Silva, A Silva, JS Santos, BS Ferreira, C Univ Aveiro DET IEETA P-3800 Aveiro Portugal

ISBN: (纸本)0819440078

Segmentation of thoracic X-Ray Computed Tomography images is a mandatory pre-processing step in many automated or semi-automated analysis tasks such us region identification, densitometric analysis, or even for 3D visualization purposes when a stack of slices has to be prepared for surface or volume rendering. In this work, we present a fully automated and fast method for pulmonary contour extraction and region identification. Our method combines adaptive intensity discrimination, geometrical feature estimation and morphological processing resulting into a fast and flexible algorithm. A complementary but not less important objective of this work consisted on a quality assessment study of the developed contour detection technique. The automatically extracted contours were statistically compared to manually drawn pulmonary outlines provided by two, radiologists. Exploratory data analysis and non-parametric statistical tests were performed on the results obtained using several figures of merit. Results indicate that, besides a strong consistence among all the quality indexes, there is a wider inter-observer variability concerning both radiologists than the variability of our algorithm when compared to each one of the radiologists. As an overall conclusion we claim that the consistence and accuracy of our detection method is more than acceptable for most of the quantitative requirements mentioned by the radiologists.

关键词： image analysis segmentation Computed Tomography pulmonary contours quantitative evaluation non-parametric statistics

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