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Algorithm of pulmonary emphysema extraction using low dose thoracic 3-D CT images

Algorithm of pulmonary emphysema extraction using low dose t...

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Medical Imaging 2006 conference

作者： Saito, S. Kubo, M. Kawata, Y. Niki, N. Nakano, Y. Omatsu, H. Tominaga, K. Eguchi, K. Moriyama, N. Univ Tokushima Dept Opt Sci Tokushima 770 Japan Shiga Univ Med Sci Dept Resp Med Shiga Japan Natl Canc Ctr Hosp East Tokyo Japan Tochigi Publ Hlth Serv Assoc Tokyo Japan Tokai Univ Sch Med Hiratsuka Kanagawa Japan Natl Canc Ctr Res Ctr Canc Prevent & Screening Tokyo Japan

ISBN: (纸本)0819461865

Recently, due to aging and smoking, emphysema patients are increasing. The restoration of alveolus which was destroyed by emphysema is not possible, thus early detection of emphysema is desired. We describe a quantitative algorithm for extracting emphysematous lesions and quantitatively evaluate their distribution patterns using low dose thoracic 3-D CT images. The algorithm identified lung anatomies, and extracted low attenuation area (LAA) as emphysematous lesion candidates. Applying the algorithm to 100 thoracic 3-D CT images and then by follow-up 3-D CT images, we demonstrate its potential effectiveness to assist radiologists and physicians to quantitatively evaluate the emphysematous lesions distribution and their evolution in time interval changes.

关键词： LAA low dose thoracic 3-D CT images emphysematous

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Automated anatomical labeling algorithm of bronchial branches based on multi-slice CT images

Automated anatomical labeling algorithm of bronchial branche...

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Medical Imaging 2006 conference

作者： Kawai, J. Saita, S. Kubo, M. Kawata, Y. Niki, N. Nakano, Y. Nishitani, H. Ohmats, H. Eguchi, K. Moriyama, N. Univ Tokushima Dept Opt Sci Tokushima 770 Japan Shiga Univ Med Sci Dept Resp Med Shiga Japan Univ Tokushima Grad Sch Inst Hlth Biosci Tokushima Japan Natl Canc Ctr Tokyo Japan Univ Tokyo Sch Med Tokyo Japan Natl Canc Ctr Res Ctr Canc Prevent & Screeing Tokyo Japan

ISBN: (纸本)0819461865

Multi-slice CT technology was developed, so, we can get clear contrast images and thin slice images. But doctors need to diagnosis many image, thus their load increases. Therefore, development of the algorithm that analyses lung internal-organs is expected. When doctors diagnose lung internal-organs, they understand it. So, detailed analyze of lung internal-organs is applicant to early detection of a nodule. Especially, analyzing bronchus provides that useful information of detection of airway disease and classification of the pulmonary vein and artery. In this paper, we describe a method for automated anatomical labeling algorithm of bronchial branches based on Multi-Slice CT images.

关键词： multi-slice CT bronchus lung anatomical labeling

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Feature calculation for classification algorithm of pulmonary vein and artery

Feature calculation for classification algorithm of pulmonar...

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Medical Imaging 2006 conference

作者： Nishio, Takashi Saita, Shinsuke Kubo, Mitsuru Kawata, Yoshiki Niki, Noboru Ohmatsu, Hironobu Kakinuma, Ryuutarou Moriyama, Noriyuki Eguchi, Kenji Univ Tokushima Dept Opt Sci Tokushima Japan Natl Canc Ctr Hosp East Tokyo Japan Natl Canc Ctr Res Ctr Canc Prevent & Sreening Tokyo Japan Sch Med Univ Tokai Ibaraki Japan

ISBN: (纸本)0819461865

Multi-slice helical CT technology has been developed. Unlike the conventional helical CT, we can obtain CT images of two or more slices in 1 time scan. Therefore, we can get many images with a clear contrast and thin slice images in one time of scanning. The purpose of this presentation is to evaluate the proposed automatic extraction bronchus and pulmonary vein and artery on multi-slice CT images. The bronchus is extracted by application with region growing technique and the morphological filters, 3D distance transformation. These results indicate that the proposed algorithm provides the ability to accurately develop an automatic extraction algorithm of the bronchus on multi-slice CT images. In this report, we used pulmonary vein and artery marked by the doctor, It aims to discover an amount of the feature necessary for classifying the pulmonary vein and artery by using the anatomical feature. The classification of the pulmonary vein and artery is thought to be a necessary information for tumor's benign or malignity judgment [1]. In this report, the amount of the feature in which the flow of the automation is based is analyzed by using three dimension images of pulmonary vein and artery and bronchus obtained by the specialized physician's marking.

关键词： the multi-slice CT images pulmonary vein and artery anatomical feature

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Analysis of four-dimensional cardiac ventricular magnetic resonance images using statistical models of ventricular shape and cardiac motion

Analysis of four-dimensional cardiac ventricular magnetic re...

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Medical Imaging 2006 conference

作者： Zhang, Honghai Walker, Nicholas Mitchell, Steven C. Thomas, Matthew Wahle, Andreas Scholz, Thomas Sonka, Milan Univ Iowa Dept Elect & Comp Engn Iowa City IA 52242 USA Univ Iowa Dept Internal Med Iowa City IA 52242 USA Univ Iowa Dept Pediat Iowa City IA 52242 USA

ISBN: (纸本)0819461865

Conventional analysis of cardiac ventricular magnetic resonance images is performed using short axis images and does not guarantee completeness and consistency of the ventricle coverage. In this paper, a four-dimensional (4D, 3D+time) left and right ventricle statistical shape model was generated from the combination of the long axis and short axis images. Iterative mutual intensity registration and interpolation were used to merge the long axis and short axis images into isotropic 4D images and simultaneously correct existing breathing artifact. Distance-based shape interpolation and approximation were used to generate complete ventricle shapes from the long axis and short axis manual segmentations. Landmarks were automatically generated and propagated to 4D data samples using rigid alignment, distance-based merging, and B-spline transform. Principal component analysis (PCA) was used in model creation and analysis. The two strongest modes of the shape model captured the most important shape feature of Tetralogy of Fallot (TOF) patients, right ventricle enlargement. Classification of cardiac images into classes of normal and TOF subjects performed on 3D and 4D models showed 100% classification correctness rates for both normal and TOF subjects using k-Nearest Neighbor (k=1 or 3) classifier and the two strongest shape modes.

关键词： 4D statistical shape model mutual registration breathing artifact correction distance-based shape interpolation automatic landmark generation Principal Component Analysis (PCA)

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Automatic three-dimensional segmentation of MR images applied to the rat uterus

Automatic three-dimensional segmentation of MR images applie...

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Medical Imaging 2006 conference

作者： Akselrod-Ballin, Ayelet Eyal, Erez Galun, Meirav Furman-Haran, Edna Gomori, John Moshe Basri, Ronen Degani, Hadassa Brandt, Achi Weizmann Inst Sci Dept Comp Sci & Appl Math IL-76100 Rehovot Israel Weizmann Inst Sci Dept Regulat Biol IL-76100 Rehovot Israel Hadassah Univ Med Ctr Neuroradiol & MRI Jerusalem Israel

ISBN: (纸本)0819461865

We introduce an automatic 3D multiscale automatic segmentation algorithm for delineating specific organs in Magnetic Resonance images (MRI). The algorithm can process several modalities simultaneously, and handle both isotropic and anisotropic data in only linear time complexity. It produces a hierarchical decomposition of MRI scans. During this segmentation process a rich set of features describing the segments in terms of intensity, shape and location are calculated, reflecting the formation of the hierarchical decomposition. We show that this method can delineate the entire uterus of the rat abdomen in 3D MR images utilizing a combination of scanning protocols that jointly achieve high contrast between the uterus and other abdominal organs and between inner structures of the rat uterus. Both single and multi-channel automatic segmentation demonstrate high correlation to a manual segmentation. While the focus here is on the rat uterus, the general approach can be applied to recognition in 2D, 3D and multi-channel medical images.

关键词： segmentation MRI small animal imaging uterus rat

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Finite element model-based tumor registration of microPET and high-resolution MR images for photodynamic therapy in mice

Finite element model-based tumor registration of microPET an...

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Medical Imaging 2006 conference

作者： Fei, Baowei Wang, Hesheng Muzic, Raymond F., Jr. Flask, Chris A. Feyes, Denise K. Wilson, David L. Duerk, Jeffrey L. Oleinick, Nancy L. Case Western Reserve Univ Dept Radiol 11100 Euclid Ave Cleveland OH 44106 USA

ISBN: (纸本)0819461865

We are investigating imaging techniques to study the tumor response to photodynamic therapy (PDT). PET can provide physiological and functional information. High-resolution MRI can provide anatomical and morphological changes. Image registration can combine MRI and PET images for improved tumor monitoring. In this study, we acquired high-resolution MRI and microPET [F-18]fluorodeoxyglucose (FDG) images from C3H mice with RIF-1 tumors that were treated with Pc 4-based PDT. For tumor registration, we developed a finite element model (FEM)-based deformable registration scheme. To assess the registration quality, we performed slice by slice review of both image volumes, computed the volume overlap ratios, and visualized both volumes in color overlay. The mean volume overlap ratios for tumors were 94.7% after registration. Registration of high-resolution MRI and microPET images combines anatomical and functional information of the tumors and provides a useful tool for evaluating photodynamic therapy.

关键词： deformable image registration photodynamic therapy finite element model small animal imaging cellular and molecular imaging and cancer

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Growth-rate estimation of pulmonary nodules in three-dimensional thoracic CT images based on CT density histogram analysis and its application to nodule classification

Growth-rate estimation of pulmonary nodules in three-dimensi...

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Medical Imaging 2006 conference

作者： Kawata, Y. Nakaoka, M. Niki, N. Ohmatsu, H. Kusumoto, M. Kakinuma, R. Eguchi, K. Kaneko, M. Moriyama, N. Univ Tokushima Dept Opt Sci & Technol Tokushima 770 Japan

ISBN: (纸本)0819461865

In research and development of computer-aided differential diagnosis using thoracic CT images, there is now widespread interest in the use of nodule doubling time for measuring the volumetric changes of pulmonary nodule. The evolution pattern of each nodule might depend on the CT density distribution pattern inside nodule such as pure GGO, mixed GGO, or solid nodules. This paper presents a computerized approach to measure nodule density variation inside small pulmonary nodule using CT images. The approach consists of five steps: (1) nodule segmentation, (2) computation of CT density histogram, (3) nodule categorization (alpha, beta, gamma, delta, and epsilon) based on CT density histogram, (4) computation of doubling time based on CT density histogram, and (5) classification between benign and malignant cases. Using our dataset of follow-up scans of pulmonary nodules, we evaluated evaluation patterns of nodules on the basis of the predominant five nodule categorizations and designed the classification approach between benign and malignant cases. The preliminary experimental result demonstrated that our approach has a potential usefulness to assess the nodule evolution using thoracic CT images.

关键词： computer-aided diagnosis pulmonary nodule three-dimensional thoracic CT images CT density distribution growth rate estimation

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Imaging system for creating 3D block-face cryo-images of whole mice

Imaging system for creating 3D block-face cryo-images of who...

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Medical Imaging 2006 conference

作者： Roy, Debashish Breen, Michael Salvado, Olivier Heinzel, Meredith McKinley, Eliot Wilson, David Case Western Reserve Univ Dept Biomed Engn Cleveland OH 44106 USA Univ Hosp Cleveland Dept Radiol Cleveland OH 44106 USA

ISBN: (纸本)0819461865

We developed a cryomicrotome/imaging system that provides high resolution, high sensitivity block-face images of whole mice or excised organs, and applied it to a variety of biological applications. With this cryo-imaging system, we sectioned cryo-preserved tissues at 2-40 mu m thickness and acquired high resolution brightfield and fluorescence images with microscopic in-plane resolution (as good as 1.2 mu m). Brightfield images of normal and pathological anatomy show exquisite detail, especially in the abdominal cavity. Multi-planar reformatting and 3D renderings allow one to interrogate 3D structures. In this report, we present brightfield images of mouse anatomy, as well as 3D renderings of organs. For BPK mice model of polycystic kidney disease, we compared brightfield cryo-images and kidney volumes to MRI. The color images provided greater contrast and resolution of cysts as compared to in vivo MRI. We note that color cryo-images are closer to what a researcher sees in dissection, making it easier for them to interpret image data. The combination of field of view, depth of field, ultra high resolution and color/fluorescence contrast enables cryo-image volumes to provide details that cannot be found through in vivo imaging or other ex vivo optical imaging approaches. We believe that this novel imaging system will have applications that include identification of mouse phenotypes, characterization of diseases like blood vessel disease, kidney disease, and cancer, assessment of drug and gene therapy delivery and efficacy and validation of other imaging modalities.

关键词： small animal imaging block-face imaging cryosection brightfield microscopy fluorescence microscopy histology

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Branch identification method for CT-guided bronchoscopy based on eigenspace image matching between real and virtual bronchoscopic images

Branch identification method for CT-guided bronchoscopy base...

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Medical Imaging 2006 conference

作者： Shinohara, Riyoko Mori, Kensaku Deguchi, Daisuke Kitasaka, Takayuki Suenaga, Yasuhito Takabatake, Hirotsugu Mori, Masaki Natori, Hiroshi Nagoya Univ Grad Sch Informat Sci Nagoya Aichi Japan Minami Sanjyo Hosp Sapporo Hokkaido Japan Sapporo Kosei Gen Hosp Sapporo Hokkaido Japan Sapporo Med Univ Sch Med Sapporo Hokkaido Japan

ISBN: (纸本)0819461865

This paper presents a method for identifying branches for CT-guided bronchoscopy based on eigenspace image matching. This method outputs the current location of a real bronchoscope (RB) by displaying branches where a bronchoscope is currently observing or by presenting anatomical names of branches currently being observed. In the previous method of bronchoscope navigation, the motion of a real bronchoscope is tracked by image registration between RB and virtual bronchoscopic (VB) images. Although bronchoscope tracking based on image registration gives us very accurate tracking results, it requires a lot of computation time and it is difficult to perform real-time tracking. If we focus only on navigation to a target branch, it is enough to identify a branch where a bronchoscope is currently located. This paper presents a method for identifying branches in which a bronchoscope is currently observing and presenting their anatomical names. Branch identification is done by image matching between RB images and pre-generated VB images. VB images are pre-generated at each bifurcation point based on structural analysis results of bronchi regions extracted from CT images. For each frame of an RB video, we find the most similar VB image to the input one from a training dataset (pre-generated VB image) and output the branch levels associated with the found image by using the eigenspace method. We have applied the proposed method to a pair of comprising a 3D CT image and real bronchoscopic video. The experimental results showed that the proposed method can identify branches for about 77.7% of the input frames.

关键词： virtual endoscopy CT-guided bronchoscopy virtual bronchoscopy eigenspace segmentation

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Computation of brain neurodegeneration in the Alzheimer's fly

Computation of brain neurodegeneration in the Alzheimer's fl...

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Medical Imaging 2006 conference

作者： Lee, P. C. Huang, Y. R. Chang, H. M. Chiang, A. S. Ching, Y. T. Natl Chiao Tung Univ Dept Comp Sci 1001 Ta Hsueh Rd Hsinchu 300 Taiwan Natl Tsing Hua Univ Hsinchu Taiwan

ISBN: (纸本)0819461865

Expression of human A beta 42 peptide in the Drosophila brain induces pathological phenotypes resembling Alzheimer's disease (PNAS 101, 6623-6628). Three-dimensional confocal imaging reveals extensive vacuoles caused by neurodegeneration in the brain of aged but not young A beta 42 flies. Here, we report a three-dimensional computation algorisin allowing semi-automatic measurement of numbers and volumes of brain vacuoles. The method employed matched filters, alpha-shape, and the active-contour techniques. Using this method, a good result depicting the contours of the vacuoles can be obtained. A more accurate algorithm is still under development. Accurate evaluation of brain pathology in Alzheimer's flies may facilitate the understanding of molecular mechanisms underlying A beta. toxicity and the discovery of novel therapeutic targets for Alzheimer's disease.

关键词： confocal microscopic images matched filter alpha-shape active-contour snake

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