1,305 resources related to Mammography
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The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
Science, technology and applications spanning the millimeter-waves, terahertz and infrared spectral regions
The 15th IEEE International Conference on Control and Automation (IEEE ICCA 2019) will be held Tuesday through Friday, July 16-19, 2019, in Edinburgh, Scotland. The conference is jointly organized by IEEE Control Systems Chapter, Singapore, and IEEE Control Chapter for United Kingdom and Ireland. It is technically sponsored by IEEE Control Systems Society. It aims to create a forum for scientists and practising engineers throughout the world to present the latest research findings and ideas in the areas of control and automation, and possible contributions toward sustainable development and environment preservation. The conference is featured with the Best Paper Award and the Best Student Paper Award.
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
CBMS 2019 will provide an international forum to discuss the latest developments in the field of computational medicine, biomedical informatics and related fields. During the CBMS symposium, there will be regular and special track (ST) sessions with technical contributions reviewed and selected by an international programme committee, as well as keynote talks and tutorials given by leading experts in their fields. Regular and ST presentations will cover a broad range of issues in related to areas in the context of medical informatics, e-Health, computer vision, healthcare games, software systems in medicine, big data analytics in healthcare, cognitive computing in healthcare, telemedicine systems, medical education, HCI in healthcare, web-based medical information, active and healthy aging systems, technology in clinical and healthcare research, among others.
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001
We show that dyadic scales may not be sufficient for the detection of masses in mammograms: a lesion may be too blurred on one scale, and then too fragmented at the next. In this paper, we report on the preliminary evidence of our study using a continuous wavelet transform in two dimensions with arbitrary positioning of a wavelet's center frequency ...
2009 International Conference on Signal Acquisition and Processing, 2009
This paper presents a new approach to enhance the contrast of microcalcifications in mammograms using a fuzzy algorithm based on Tsallis entropy. In phase I image is fuzzified using S membership function. In Phase II using the non-uniformity factor calculated from local information the contrast of microcalcifications were enhanced while suppressing the background heavily. This is the first time in ...
2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515), 2003
This paper describes world largest monolithic CMOS flat panel sensor (FPS) and high speed amplifier with columnar CsI scintillator directly deposited onto the active area. These elements have been employed as a compact digital camera module for dynamic X-ray imaging will be used in digital mammography and scientific image measurement. The FPS has a diagonal size of 11 inches and ...
IEEE Spectrum, 2002
Breast cancer accounts for nearly one of every three cancers diagnosed in US women. While great strides have been made in early detection, the conventional method of mammography is not failproof it has trouble imaging dense tissue, it may show suspicious areas where no malignancy exists, and radiologists interpreting the images can miss up to 15 percent of cancers. It's ...
2008 World Automation Congress, 2008
Early detection of breast cancer is an important task for preventing the loss of lives/breasts of the women. In this paper we propose a method for detecting suspicious features of breast cancers on mammograms by the combination of multiscale image filtering and regression-line analysis. Images are represented and analyzed at different scales. Calcifications are detected on the finest resolution, masses ...
We show that dyadic scales may not be sufficient for the detection of masses in mammograms: a lesion may be too blurred on one scale, and then too fragmented at the next. In this paper, we report on the preliminary evidence of our study using a continuous wavelet transform in two dimensions with arbitrary positioning of a wavelet's center frequency channel tuned to the mass detection problem. Our goal is to detect masses in dense mammograms whose diameter is smaller than 1 cm. The aim is to be able to find the scale where the mass is best represented in terms of analysis.
This paper presents a new approach to enhance the contrast of microcalcifications in mammograms using a fuzzy algorithm based on Tsallis entropy. In phase I image is fuzzified using S membership function. In Phase II using the non-uniformity factor calculated from local information the contrast of microcalcifications were enhanced while suppressing the background heavily. This is the first time in literature to propose an enhancement algorithm using Tsallis entropy. Tsallis entropy has an extra parameter q. We assume that grade of mammogram is related with q parameter. The values of q were calculated from the histogram. The proposed approach can be even suitable for dense mammograms.
This paper describes world largest monolithic CMOS flat panel sensor (FPS) and high speed amplifier with columnar CsI scintillator directly deposited onto the active area. These elements have been employed as a compact digital camera module for dynamic X-ray imaging will be used in digital mammography and scientific image measurement. The FPS has a diagonal size of 11 inches and 4,416 /spl times/ 3,520 pixel array (15,544,320 pixels), which features a high resolution of 10 lp/mm with single pixel drive. The key material of the FPS is monocrystalline silicon optimized for use in digital radiography. The sensor utilizes a direct deposited scintillator layer made from high resolution, high luminance CsI crystals grown into a needle structure onto a large formatted photodiode array for indirect detection of X-ray images. The CsI scintillation spectrum well matches the spectral response range of the photodiode. The CsI has the advantages of high sensitivity and high resolution compared to GOS phosphors screen. These image sensors are manufactured in a 0.15/spl mu/ 12 inches CMOS process allowing a high fill factor of 76% for 50/spl mu/ pixel. Only one chip is taken from one 12 inches wafer in order to realize a seamless active area. The monolithic amplifier blocks have 4,416 channels of charge amplifiers with internal CDS (correlated double sampling) circuit has an optimal design yielding a high gain of 0.26 /spl mu/V per electron and a data transfer speed of 17.8 Mbytes per second in sufficient low noise. This paper discusses the system design, dynamic range, resolution, detective quantum efficiency (DQE) and imaging performance using ACR mammography phantom.
Breast cancer accounts for nearly one of every three cancers diagnosed in US women. While great strides have been made in early detection, the conventional method of mammography is not failproof it has trouble imaging dense tissue, it may show suspicious areas where no malignancy exists, and radiologists interpreting the images can miss up to 15 percent of cancers. It's also uncomfortable, requiring each breast to be compressed between plastic plates, which can lead to bruising. Susan Hagness wants to change all that. An assistant professor of electrical engineering at the University of Wisconsin- Madison, she is pioneering a novel detection technique that uses ultrawideband microwaves to image even the tiniest malignant tumors in the breast. Breast tumors and normal tissue show much more contrast at microwave frequencies than at the X-ray frequencies used for mammograms. Microwaves are also nonionizing, and the technique requires no breast compression. In Susan Hagness' search for a better way to detect breast cancer, she gets her students involved, too. Such efforts have paid off: her courses consistently receive high marks on student evaluations.
Early detection of breast cancer is an important task for preventing the loss of lives/breasts of the women. In this paper we propose a method for detecting suspicious features of breast cancers on mammograms by the combination of multiscale image filtering and regression-line analysis. Images are represented and analyzed at different scales. Calcifications are detected on the finest resolution, masses and mammary glands are detected on a more abstracted plane. After detecting mammary glands, we apply linear regression to the parts of mammary ducts, and estimates the degree of concentration by the measure of average minimal distance to the concentration point. Experimental results on the DDSM mammography images demonstrate that these approaches could contribute to the successful detection of these features.
Physical examination and mammography are the primary methods for the detection of breast cancer, but lead to a high rate of benign biopsies. A digital thermal imaging system was developed as an adjunct to mammography to aid in the differentiation of benign from malignant lesions. Patients scheduled for biopsy were enrolled after informed consent. Prior to biopsy, digital thermal images were acquired of each breast during a 3.5 minute procedure. A probability of malignancy was assigned to each pixel, based on comparative statistical analysis of the thermal response features from the test subjects with data derived from lesions of known pathology. One hundred and seventeen female patients (125 suspicious lesions) were included, with a 24% true malignancy rate. Receiver Operating Characteristics (ROC) curves (Sensitivity vs. 1-Specificity) were generated based on various features of the cooling model. Based on the ROC curve analysis, 36/95 benign biopsies (38%) could have been avoided using this technology, while maintaining a sensitivity of 96%. Digital thermal imaging appears to be a valuable adjunct to mammography in the management of breast lesions, potentially decreasing the number of benign biopsies. Multi-institutional FDA clinical trials are currently underway.
Microcalcifications can be one of the earliest signs of breast cancer. Unfortunately, their appearance in mammograms can be mimicked by dust and dirt entering the imaging process and this has been shown previously to lead to false positives. The authors use a model of the imaging process and, in particular, the blurring functions inherent within it to detect the film- screen artifacts caused by dust and dirt and, thus, reduce false-positives. A crucial facet of the work is the choice of the correct image representation upon which to perform the image processing. After extensive testing, the authors' algorithm has identified no microcalcifications as being artifacts and has an artifact detection rate of approaching 96%.
The purpose of this project is to design and build a MATLAB-based system to aid in the identification and evaluation of breast lesions in mammograms. A graphical user interface will be created using MATLAB and will require user interaction to crop and enhance the mammography images as the user identifies and evaluates a lesion's need for further clinical evaluation. The program will allow a user to choose amongst various options to identify and evaluate a lesion based on its properties. Once the lesion's characteristics are known, the program will output a recommended course of action. To validate that the program is working correctly, test cases have been designed to test all possible combinations of user input. The validation will include mammography images from the McGill University database and from Mercy Medical Center in Springfield, MA. This system could potentially be used as a teaching tool for evaluating mammograms within the Biomedical Engineering Department's medical imaging courses at Western New England College.
The purpose of this study was to determine whether three investigators would produce similar results when reading/scoring the same breast infrared images. They used their standard methods of analysis (subjective to semi-objective analysis). Two of the investigators submitted breast infrared images from 71 screened patients. The images were stored in a database and displayed for scoring by the three investigators (two who submitted the data and one additional reader). The left and right breasts were analyzed separately. The investigators submitted their scores to the database without knowledge of the scores of the other two investigators. Overall, concordance of results among all three investigators was 76% (all three investigators' readings agreed on 107 of 141 breasts). Comparison of paired results of the three investigators resulted in 79 to 94% agreement for the six comparisons (three investigators and two breasts) with an overall agreement of 88% (371 of 424 paired comparisons). This preliminary comparison of three investigators' blinded results of breast infrared image readings from a screening population, demonstrates that breast infrared images taken at different centers with different techniques can be interpreted by different investigators with very similar results. As the database grows there will be an increase in the number and percentage of patients with abnormal infrared images (high risk and breast cancer patients). This will allow a better and more thorough analysis of the results to refine and standardize the reading technique, and further to allow the assessment of previously untested algorithms with this unique database.
We describe an instrument for frequency-domain light mammography (LIMA), and we present clinical results obtained on patients affected by breast cancer. This instrument uses two laser diodes emitting at 690 and 825 nm. Their intensities are modulated at a frequency of 110 MHz. The amplitude and the phase of the intensity wave are the measured quantities. The breast is slightly compressed between two glass plates and the optical signal is detected in transmission, i.e. on the opposite side of the illuminated spot of the breast. The acquisition time for a full breast image is about 3 minutes. Edge effects (that are mainly due to the breast thickness variability within the scanned area) are corrected by an algorithm of data analysis which enhances the contrast of the optical mammograms. In the clinical applications, we successfully detected 27 out of 37 malignant tumors (73%). This result shows the practical feasibility and the significant potential of frequency- domain optical mammography.
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