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Andrew F. Laine

Faculty Photo
Andrew F. Laine
Vice-Chair, Professor of Biomedical Engineering and Radiology
407 CEPSR Building
530 West 120th Street, Mail Code: 8904

Phone: +1 212-854-6539
Fax: +1 212-854-2733
Email:
Home Page


Projects

  • Adaptive Spatial-Temporal Filtering Applied to X-Ray Fluoroscopy

  • Micro Array Genomic Image Recognition with Multi-scale techniques

  • Fast Interpolation Algorithms for Three-Dimensional Real-Time Cardiac Ultrasound

  • Segmentation of cardiac US using level sets on alternate grids

Publications

  • E.D. Angelini, Y. Jin, P.D. Esser, R. Van Heertum, A.F. Laine, Fusion of brushlet and wavelet denoising methods for nuclear images, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA,vol. 1, pp. 1187-1191, 2004.
  • E.D. Angelini, R. Otsuka, S. Homma, A.F. Laine, Comparison of ventricular geometry for two real time 3D ultrasound machines with three dimensional level set, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Arlington, VA, USA, vol. 1, pp. 1323-1326, 2004.
  • E.D. Angelini, T. Song, B.D. Mensh, A.F. Laine, Segmentation and quantitative evaluation of brain MRI data with a multi-phase three-dimensional implicit deformable model, SPIE International Symposium, Medical Imaging 2004, San Diego, CA, USA, vol. 5370, pp. 526-537.
  • Q. Duan, E.D. Angelini, A.F. Laine, Assessment of fast anisotropic diffusion and scan conversion of real-time three-dimensional spherical ultrasound data for visual quality and spatial accuracy, SPIE International Symposium, Medical Imaging 2004, San Diego, CA, USA, vol. 5373, pp. 331-342, 2004.
  • Y. Jin, E.D. Angelini and A.F. Laine, Wavelets in Medical Image Processing: Denoising, Segmentation, and Registration, Handbook of Medical Image Analysis: Advanced Segmentation and Registration Models, edited by Jasjit Suri, David L. Wilson and Swamy Laximinarayan. Kluwer Academic Publishers, New York, NY, 2004.

  • E.D. Angelini, Y. Jin and A.F. Laine, State-of-the-Art of Levelset Methods in Segmentation and Registration of Medical Imaging Modalities, Handbook of Medical Image Analysis: Advanced Segmenation and Registration Models, edited by Jasjit Suri, David L. Wilson and Swamy Laximinarayan. Kluwer Academic Publishers, New York, NY, 2004.

  • E.D. Angelini, J. Holmes, A.F. Laine, S. Homma, Segmentation of RT3D ultrasound with implicit deformable models without gradients, 3rd International Symposium on Image and Signal Processing and Analysis, Rome, Italy. Part II, pp. 711-716, 2003.
  • Y. Jin, E.D. Angelini, P.D. Esser, A.F. Laine, De-noising SPECT/PET images using cross-scale regularization, MICCAI'03, Montreal, Canada, pp. Part II 32-40, Nov. 2003.
  • Y. Jin, C.Z. Imielinska, A.F. Laine, J. Udupa, W. Shen, S. B. Heymsfield, Segmentation and evaluation of adipose tissue from whole body MRI scans, MICCAI'03, Montreal, Canada, Part I, pp. 635-642, Nov. 2003.
  • Y. Jin, E.D. Angelini, S. Mangla, I. S. Choi, R. Kemker, J. Timmer, A.F. Laine, Multiscale denoising and enhancement of 3D rotational X-ray Imaging for percutaneous vertebroplasty, 25th Annual Meeting Conference of the IEEE EMBS Society, Cancun, Mexico, pp. 782-785, 2003.
  • Q. Duan, E.D. Angelini, T. Song, and A.F. Laine, Fast interpolation algorithms for three-dimensional real-time cardiac ultrasound, 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Cancun, Mexico, pp. 1192-1195, 2003.
  • R. Mekle, A.F. Laine, E.X. Wu, Combined MR data acquisition of multicontrast images using variable acquisition parameters and K-space data sharing, Medical Imaging, IEEE Transactions on Medical Imaging, vol. 22, no. 7, pp. 806-823, July 2003.
  • J. Kalifa, A.F. Laine, P.D. Esser, Regularization in tomographic reconstruction using thresholding estimators, Medical Imaging, IEEE Transactions on Medical Imaging, vol. 22, no. 3, pp. 351-359, March 2003.
  • M. Unser, A. Aldroubi, A.F. Laine, Guest Editorial: Wavelets in Medical Imaging, Medical Imaging, IEEE Transactions on Medical Imaging, vol. 22, no. 3, pp. 285-288, March 2003.
  • M. Unser, A. Albroubi, A.F. Laine, and M. Unser, Editors, Wavelet Applications in Signal and Image Processing X, International Society of Photo-Optical Engineers, Bellingham, WA, 2003.
  • E.D. Angelini, J. Kalifa, and A.F. Laine, Harmonic multiresolution estimators for denoising and regularization of SPECT-PET data, Proceedings of the International Symposium on Biomedical Imaging, Washington, D.C., USA, July 7-10, 2002.
  • Y. Jin, A.F. Laine, and C.Z. Imielinska, An adaptive speed term based on homogeneity for level-set segmentation, Medical Imaging, Proceedings of SPIE., vol. 4684, no. 1, pp. 383-390, San Diego, CA, Feb. 2002.
  • E.D. Angelini, C.Z. Imielinska, Y. Jin and A.F. Laine, Improving statistics for hybrid segmentation of high-resolution multichannel images, Medical Imaging, Proceedings of SPIE., vol. 4684, no. 1, pp. 401-411, San Diego, CA, Feb. 2002.
  • S.B. Thakur, Y. Jin, H. Sun, A.F. Laine and Q. He, flow-resolution enhancement in electrophoretic NMR using de-noising and linear prediction, 43rd Experimental Nuclear Magnetic Resonance Conference (ENC), Santa Fe, NM, April 2002.
  • E.D. Angelini, D. Hamming, S. Homma, J.W. Holmes, A.F. Laine, Comparison of segmentation methods for analysis of endocardial wall motion with real-time three-dimensional ultrasound, Computers in Cardiology, pp. 609-612, 2002.
  • R. Mekle, A.F. Laine, and S.J. Smith, Detection of Subtle Masses in Mammography via Analysis at Arbitrary Scales, Image Processing Techniques for Tumor Detection, Robin Strickland, Editor, Marcel Dekker, Inc., 2002.
  • D. R. Gersony, E.D. Angelini, J. Donis, C. Dimayuga, R. J. Barst, R. Saouaf, M. D. Tullio, A.F. Laine, and S. Homma, Denoising with brushlet analysis improves real-time three-dimensional calculation of right ventricular function in pulmonary hypertension patients, Proceedings of the Scientific Session of the American College of Cardiology, Atlanta, GA, USA, 2002.
  • L. Fayad, Y. Jin, A.F. Laine, Y. Berkmen, G. Pearson, B. Freedman, R. Van Heertum, Chest CT window settings with multiscale adaptive histogram equalization: Pilot study, Radiology, vol. 223, no. 3, pp 845-852, June 2002.
  • R.A. Kiltie, A.F. Laine, Visual textures, machine vision and animal camouflage, Trends in Ecology and Evolution, vol. 7, no. 5, pp. 163-166, May 1992.
  • E.D. Angelini, A.F. Laine, J. Donis, D. Gersony, and S. Homma, Quantification of right and left ventricular function with real-time three-dimensional ultrasound, Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey, October 2001.
  • R. Mekle, E.X. Wu, and A.F. Laine, MRI scan time reduction through K-space data sharing in combo acquisitions with a spin echo sequence, 23rd Annual International Conference of the IEEE EMBS, 2001.
  • Y. Jin, L. Fayad and A.F. Laine, Contrast enhancement by multi-scale histogram equalization, in Wavelet Applications in Signal and Image Processing IX, A. Aldroubi, A.F. Laine, M.A. Unser, Eds., Proceedings of the SPIE, vol. 4478, pp. 206-213, San Diego, 2001.
  • J. Kalifa, A.F. Laine, P.D. Esser, Regularization in tomographic reconstruction using thresholding estimators, in Wavelet Applications in Signal and Image Processing IX, A. Aldroubi, A. F. Laine, M.A. Unser, Eds., Proceedings of the SPIE, vol. 4478, pp. 63-74, San Diego, 2001.
  • L. Fayad, Y. Jin, N. Shetti, and A.F. Laine, The sharper image: CT image processing for the radiologist, European Congress of Radiology, Vienna, Austria, 2001.
  • E.D. Angelini and A.F. Laine, Spatio-temporal directional analysis of real-time three dimensional cardiac ultrasound, in Wavelets in Signal and Image Analysis. Chapter 13 in From Theory to Practice, vol. 19, A. Petrosian and F. Meyer, Eds. Dordrecht, Boston, London: Kluwer Academic Publishers, pp. 379-416, 2001.
  • R. Mekle, A.F. Laine, S.J. Smith, Evaluation of a multi-scale enhancement protocol for digital mammography, Image-Processing Techniques For Tumor Detection, R.N. Strickland, Ed., Marcel Dekker, New York, NY, pp. 155-186, 2001.
  • E.D. Angelini, A.F. Laine, S. Takuma, J. Holmos, S. Homma, LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography, IEEE Transactions on Medical Imaging, vol. 20, no. 6, pp. 457-469, June 2001.
  • Jou-Wei Lin, A.F. Laine, S.R. Bergmann, Improving PET-based physiological quantification through methods of wavelet denoising, Biomedical Engineering, IEEE Transactions on Medical Imaging, vol. 48, no. 2 , pp. 202-212, Feb 2001.
  • Jou-Wei Lin, A.F. Laine, O. Akinboboye, S.R. Bergmann, Use of wavelet transforms in analysis of time-activity data from cardiac PET, Journal of Nuclear Medicine, vol. 42, pp. 194-200, 2001.
  • Jou-Wei Lin, R. Sciacca, R.L. Chou, A.F. Laine, S.R. Bergmann, Quantification of myocardial perfusion in human subjects using rubidium-82 and wavelet-based noise reduction, Journal of Nuclear Medicine, vol. 42, pp. 201-208, 2001.
  • A. Albroubi, A.F. Laine, and M. Unser, Editors, Wavelet applications in signal and image processing IX, International Society of Photo-Optical Engineers, Bellingham, WA, 2001, 2001.
  • E.D. Angelini, S. Takuma, A.F. Laine, and S. Homma, spatio-temporal analysis of 4D echocardiography for LV volume measurement, in Wavelet Applications in Signal and Image Processing VIII, A. Aldroubi, A. F. Laine, M. A. Unser, Eds., Proceedings of the SPIE, vol. 4119, pp. 605-614, San Diego, 2000.
  • E.D. Angelini, S. Takuma, A.F. Laine, and S. Homma, Quantification of LV volumes with 4D real-time echocardiography, World Congress on Medical Physics and Biomedical Engineering, Chicago, 2000.
  • W. Huda, Y. Jin, and A.F. Laine, Evaluation of contrast enhancement by digital equalization in digital mammography, World Congress on Medical Physics and Biomedical Engineering, Chicago, 2000.
  • R. Mekle, A.F. Laine, M. Perera, and R.L. De La Paz, Activation detection in fMRI data via wavelet analysis, in Wavelet Applications in Signal and Image Processing VIII, A. Aldroubi, A. F. Laine, M. A. Unser, Eds., Proceedings of the SPIE, vol. 4119, pp. 615-625, San Diego, 2000.
  • R. Mekle, A.F. Laine, S.J. Smith, C. Singer, T. Koenigsberg and M. Brown, Evaluation of a multiscale enhancement protocol for digital mammography, in Wavelet Applications in Signal and Image Processing VIII, A. Aldroubi, A. F. Laine, M. A. Unser, Eds., Proceedings of the SPIE, vol. 4119, pp. 1038-1049, San Diego, 2000.
  • J. Kalifa, Y. Jin, A.F. Laine, P.D. Esser, PET and SPECT reconstruction with non-linear thresholding estimator, Proceedings of Society of Nuclear Medicine 47th Annual Meeting, St-Louis, MO, June 2000.
  • J. Kalifa, A.F. Laine, P.D. Esser, Image reconstruction from tomographic data using thresholding estimators in an orthogonal basis, in Wavelet Applications in Signal and Image Processing VIII, A. Aldroubi, A. F. Laine, M. A. Unser, Eds., Proceedings of the SPIE, vol. 4119, pp. 576-585, San Diego, 2000.
  • J. Kalifa, Y. Jin, A.F. Laine, P.D. Esser, Tomographic reconstruction with non-linear diagonal estimators, Proceedings of European Association of Nuclear Medicine, Paris France, September 2000.
  • A.F. Laine and W. Huda, Enhancement by multiscale non-linear operators, Handbook of Medical Image Processing , Isaac Beckman, Editor, Academic Press, 2000.
  • S. Takuma, E.D. Angelini, K. Yoshiara, R. Liu, M. Kazanowski, C. Dimayuga, K. Makita, M.R.D. Tullio, J.W. Holmes, A.F. Laine, and S. Homma, Fully automated 3D boundary detection in real-time 3D echocardiography, Journal of American College of Cardiology, vol. 35, pp. 469A, 2000.
  • S. Takuma, D. Clarito, E.D. Angelini, T. Hozumi, A. Fard, A.F. Laine, M.R.D. Tullio, and S. Homma, Comparison of 3 different 3 dimensional echo methods for volume determination, American Society of Echocardiography, 2000.