The purpose of this study is to develop mammographic density classification, which consists of three major steps. Firstly, the digitization of mammographic images module for images and data archiving. Secondly, a morp...
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The purpose of this study is to develop mammographic density classification, which consists of three major steps. Firstly, the digitization of mammographic images module for images and data archiving. Secondly, a morphological segmentation algorithm is proposed to detect the segment of mammographic masses with salt-and-pepper noise. Thirdly, the percentage of fibroglandular tissue in the total of breast tissue area is calculated and classified with BI-RADS criteria. The experimental results show that the proposed algorithm is more efficient for medical image denoising and segmentation than the usually used template-based segmentation algorithms. The overall accuracy of computerized method classification is 75%. The Kappa coefficient (0.67) indicates the good relationship and Chi-square value (7.69, p=0.053) shows no statistically significant difference. In conclusion, the computerized method based on the morphological segmentation is useful as the radiologist assistant for classifying mammographic density and is suitable for mammographic density classification.
A Mammography Database and Viewer System have collected and stored mammography images of Thai women, treated at the Radiology Department of Hospital in Rangsit, Pathumtani, Thailand, constructed a database using the d...
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ISBN:
(纸本)9781467348904
A Mammography Database and Viewer System have collected and stored mammography images of Thai women, treated at the Radiology Department of Hospital in Rangsit, Pathumtani, Thailand, constructed a database using the digitized mammography images, and developed an image viewing system to display these digital mammograms. The images are stored with the high resolution Matrox Morphis (MOR/2VD/84*) frame grabber board. The digital mammography database is powered by MySQL and PHP. It also has a web-based search engine (with secure access) so that the information can be made accessible to all medical team members. The image viewing software, DICOM Viewer, is coded in Borland C++ Builder and is intended to help medical professionals view and retrieve large data sets in near real time. This have already digitized 200 cases (one case per patient, twenty to forty images per case). The system also have developed a MySQL-based image database, and a PHP-based web-search engine to retrieve cases that have masses (benign or malignant) or calcifications (benign or malignant). This database has been evaluated by medical professionals and the experimental results obtained so far are very promising (high image qualities, fast access time). The system are currently developing an image content-based retrieval function for the database system in order to provide improved search capability for the medical professionals.
Mammography Archiving and Web Viewer have collected and stored mammography images of Thai women, treated at the Radiology Department of Hospital in Rangsit, Pathumtani, Thailand, constructed a database using the digit...
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ISBN:
(纸本)9781479914951
Mammography Archiving and Web Viewer have collected and stored mammography images of Thai women, treated at the Radiology Department of Hospital in Rangsit, Pathumtani, Thailand, constructed a database using the digitized mammography images, and developed an image viewing system to display these digital mammograms. The images are stored with the high resolution Matrox Morphis (MOR/2VD/84*) frame grabber board. The digital mammography database is powered by MySQL and PHP. It also has a web-based search engine (with secure access) so that the information can be made accessible to all medical team members. The image viewing software, DICOM Viewer, is coded in Borland C++ Builder and is intended to help medical professionals view and retrieve large data sets in near real time. This have already digitized 200 cases (one case per patient, twenty to forty images per case). The system also have developed a MySQL-based image database, and a PHP-based web-search engine to retrieve cases that have masses (benign or malignant) or calcifications (benign or malignant). This database has been evaluated by medical professionals and the experimental results obtained so far are very promising (high image qualities, fast access time). The system are currently developing an image content-based retrieval function for the database system in order to provide improved search capability for the medical professionals.
Although nebulizers have been developed for delivery of small molecules in human patients, no tunable device has been purpose-built for targeted delivery of modern large molecule and temperature-sensitive therapeutics...
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We present an iterative multiresolution algorithm for the translational and rotational alignment of digital images. An image is represented by an interpolating spline. Coarser versions of this continuous image model a...
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Parallel-detection electron energy loss spectroscopy (EELS) in the scanning transmission electron microscope provides a very sensitive means of detecting specific elements in biological systems. By analyzing EELS spec...
Parallel-detection electron energy loss spectroscopy (EELS) in the scanning transmission electron microscope provides a very sensitive means of detecting specific elements in biological systems. By analyzing EELS spectrum-image data recorded from rapidly-frozen and cryosectioned tissue it is possible to map quantitatively the distribution of the biologically important element, calcium, which is typically present at concentrations of only a few parts per million in cellular structures some tens of nanometers in diameter. A significant improvement (factor of four) in calcium detectability has been demonstrated for EELS compared with energy-dispersive x-ray spectroscopy. The spectrum-imaging technique has also been applied to map water distributions in hydrated biological specimens by utilizing the valence electron excitations.
Diffusion tensor imaging (DTI) provides intravoxel microstructural and microdynamic information about tissues that reflects their physiological state. The authors use DTI to assess changes in water mobility in an in v...
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Diffusion tensor imaging (DTI) provides intravoxel microstructural and microdynamic information about tissues that reflects their physiological state. The authors use DTI to assess changes in water mobility in an in vivo model of cerebral ischemia in cats. They use four estimated scalar quantities: the 3 principal diffusivities (/spl lambda//sub 1/, /spl lambda//sub 2/, and /spl lambda//sub 3/) and the T/sub 2/-weighted NMR signal (A(0)), as features with which to segment both normal and pathological tissues. While the authors can use these parameters to discriminate between normal and ischemic white and gray matter in cats, they are evaluating their use to distinguish between reversibly and irreversibly damaged tissues during stroke and other white matter diseases.< >
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