Providing computational science and engineering ...

Proceedings of The First Joint BMEWEMBS Conferencs Serving Humanity, Advanclng Technology ocl 1516. 98, A M t a , GA, USA

PROVIDING COMPUTATIONAL SCIENCE AND ENGINEERING EXPERTISE FOR A LARGE BIOMEDICAL RESEARCH PROGRAM Robert L. Martino, Calvin A. Johnson, Kenneth M. Kempner, Thomas J. Pohida, John I. Powell, Edward B. Suh, Benes L. Trus, and Tieng K. Yap ComputationalBioscience and Engineering Laboratory Center for Information Technology National Institutes of Health Building 12A Room 2033, Bethesda, Maryland 20892 Robert.Mattino @nih.gov Abstract The Computational Bioscience and Engineering Laboratory of the National Institutes of Health provides computational science and engineering expertise for the NIH I n m u r a l Research Program. Labramy activities include computational algorithm and method development, high performance parallel computing, biomedical image processing, image management and communication system development, signal processing and control system design, bioinformatics support, and scientific databm system implementation. Background and Activities The Computational Bioscience and Engineering Labratory (CBEL) is an integral part of the NIH biomedical research mission to develop basic knowledge for the diagnosis, treatment, understanding and prevention of human disease. CBEL provides leadership in the research, development, ad biomedical application of advanced instrumentation, highperformance computers, high-speed networks, mcdem software engineering principles, and new and efficient algorithms through many collaborative projects with the NIH intramural science and medical staff. Specific activities include the following with representative examples for these activities described in the references: (1) Develop computational methods and tools for the solution of biomedical laboratory and clinical research problems as well as provide algorithm expertise to solve computationally intensive problems in biomedicine [1,2,3]. (2) Create and adapt algorithms and computational techniques for various biomedical imaging modalities including electron microscopy, light microscopy, Positron Emission Tomography, and Magnetic Resonance Imaging [3,41.

(3) Apply telemedicine and collaborative technologies to allow several health care providers in remote locations to give real-time treatment to patients, or scientists to pursue research projects from geographically distributed sites [51. (4) Design unique real-time signal processing and control systems for a variety of biomedical applications [61.

0-7803-5674-8/991$10.000 1999 IEEE

(5) Provide computational tools and resources for the collection, analysis, management, and display of biological sequence and genomic information [2,7]. Acknowledgements The authors would like to acknowledge the important contributions of all the members of the Computational Bioscience and Engineering Laboratory to its collaborative research activities. References

[l] R.L. Martino,, C.A. Johnson, E.B. Suh, B.L. Trus, ad T.K. Yap, “Parallel Computing in Biomedical Research,” Science, vol. 265, pp. 902-908, 1994. [21 T.K.Yap. 0. Frieda, and R.L. Martino, High P e ~ o m e Computational Methods For Biological Sequence Analysis, Boston, MA: Kluwer Academic Publishers, 1996. 131 C.A. Johnson, J. Seidel, R.E. Carson, W.R. Gandler, A. Sofer, M.V. Green, and M.E. DaubeWitherspwn, ‘Evaluation of 3D Reconstruction Algorithms for a Small Animal PET Camera.” IEEE Trans. on Nucl. Sci., vol. 44, pp. 1303-1308, June 1997. [41 B.L. Trns, E. Kocsis, J.F. Conway, and A.C. Steven, ‘‘Digital Image Processing of Electron Micrographs: The PIC System IU,” J. Siructural Biology, vol. 116, pp. 61-67, 1996. [SI K.M. Kempner, D. Chow, P. Cboyke, J.R. Cox, J.E. Elson, C.A. Johnson, P. Okunieff, H. Ostrow, J.C. Pfeifer, and R.L. Martino, ‘The Development of an ATM-based Radiology Consultation Workstation for Radiotherapy Treatment Planning,” in: Yongmin Kin, editor, Proceedings of the Inremaiional Socieh for Ooiical EnPineerinP. ” vol. f031,pp. 500-511, 1997. 161 R.F. Bonner. M. Emmert-Buck. K.Cole. ..., T. Pohida. R. chuaqui, S. Goldstein, and L. Liotta, “Laser Capture Microhissection: Molecular Analysis of Tissue,” Science, vol. 278, DD. 1481-1483, 1997. [71 L.M. Gaudt, A. Dent, D. Allman, J. Powell, R. Maile, and P. Scherle, “Rapid Identification of Novel Human Lymphoid-Restricted Genes by Automated DNA Sequencing of Subtracted cDNA Libraries,” Current Topics in Microbiological Immunology, vol. 194, pp. 155-161, 1995.

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