rangaraj m. rangayyan - biomedical image analysis

[...]... signal and image processing, biomedical signal analysis, medical imaging and image analysis, and computer vision His research projects have addressed topics such as mammographic image enhancement and analysis for computer-aided diagnosis of breast cancer region-based image processing knee-joint vibration signal analysis for noninvasive diagnosis of articular cartilage pathology directional analysis of... modem Biomedical Image Analysis the identity matrix mutual information image edge-pro le acutance inverse Fourier transform in nite impulse response ( lter) International Organization for Standardization p ;1 Joint Bi-level Image (experts) Group Je ries-Matusita distance just-noticeable di erence Joint Photographic Experts Group kilo (1,000) indices in the discrete Fourier (frequency) domain kilo-volt... (1,024) knife-edge spread function Karhunen-Loeve transform natural logarithm (base e) line pairs per millimeter an image processing operator or transform in matrix form loss function in pattern classi cation low-energy all-purpose collimator low-energy general-purpose collimator local linear minimum mean-squared error linear minimum mean-squared error least mean squares Laplacian mean-squared error...x Biomedical Image Analysis Teaching and Learning Plans An introduction to the nature of biomedical images is provided in Chapter 1 The easy-to-read material in this chapter gives a general overview of the imaging techniques that are commonly used to acquire biomedical images for detailed treatment of medical imaging, refer to Macovski... Two-dimensional linear prediction 11.8.2 Multichannel linear prediction 11.8.3 Adaptive 2D recursive least-squares prediction 11.9 Image Scanning Using the Peano-Hilbert Curve 11.9.1 De nition of the Peano-scan path 11.9.2 Properties of the Peano-Hilbert curve 11.9.3 Implementation of Peano scanning 11.9.4 Decorrelation of Peano-scanned data 11.10 Image. .. Radiology analog-to-digital converter adaptive Lempel-Ziv coding AMT acutance adaptive-neighborhood contrast enhancement adaptive-neighborhood deblurring arti cial neural network adaptive-neighborhood noise subtraction autoregressive model or lter autoregressive, moving-average model or lter adaptive rectangular window Az area under the ROC curve b background intensity b bit b(m n) moving-average model... covariance between x and y computer-aided diagnosis convolution backprojection content-based image retrieval cranio-caudal charge-coupled device cross-correlation function Comite Consultatif International Telephonique et Telegraphique compact disk constrained least squares cascaded modulation transfer acutance cyan, magenta, yellow, black] representation of color contrast-to-noise ratio central nervous system... experience with real-life images is a key element in understanding and appreciating biomedical image analysis This aspect could be di cult and frustrating at times, but provides professional satisfaction and educational fun! It is my humble hope that this book will assist students and researchers who seek to enrich their lives and those of others with the wonderful powers of biomedical image analysis Electrical... Covariance and cross-correlation 3.1.8 Signal-dependent noise Synchronized or Multiframe Averaging Space-domain Local-statistics-based Filters 3.3.1 The mean lter 3.3.2 The median lter 3.3.3 Order-statistic lters Frequency-domain Filters 3.4.1 Removal of high-frequency noise ... number of samples or pixels moving average ( lter) maximum-a-posteriori probability medial collateral ligament Mammographic Image Analysis Society, London, England minimum description length maximum entropy medio-lateral oblique minimum mean-squared error Moving Picture Experts Group magnetic resonance magnetic resonance imaging mean-squared mean-squared error modulation (magnitude) transfer function .