Harold L. Kundel and Peter B. DeanKevin Woods and Maha Y. Sallam and Kevin W. BowyerElizabeth A. KrupinskiEric Clarkson and Harrison H. BarrettStephen M. Pizer and Bradley M. Hemminger and R. Eugene JohnstonRobert M. NiskikawaRalf Mekle and Andrew F. Laine and Suzanne J. SmithNico KarssemeijerRangaraj M. Rangayyan and Liang She and Yiping Shen and M. Sarah Rose and J. E. Leo Desautels and Heather E. Bryant and Timothy J. Terry and Natalka HoreczkoMaryellen L. Giger and Samuel G. Armato III and Heber MacMahon and Kunio DoiMichael F. McNitt-Gray and Matthew S. BrownHamid Soltanian-Zadeh and Joe P. WindhamRichard J. T. Gorniak and Elissa L. Kramer and Marilyn E. NozCandice L. Aitken and Marilyn E. Noz and Elissa L. Kramer

Preface	p. iii
Contributors	p. vii
1 Tumor Imaging	p. 1
2 Evaluating Detection Algorithms	p. 19
3 Clinical Applications: Present and Future	p. 47
4 Statistical Decision Theory and Tumor Detection	p. 71
5 Display, Including Enhancement, of Two-Dimensional Images	p. 101
6 Detection of Microcalcifications	p. 131
7 Evaluation of a Multiscale Enhancement Protocol for Digital Mammography	p. 155
8 Detection of Masses in Mammograms	p. 187
9 Region-Based Adaptive Contrast Enhancement	p. 213
10 Computerized Detection of Lung Nodules	p. 243
11 Lung: X-ray and CT	p. 271
12 Optimal Processing of Brain MRI	p. 295
13 Brain Tumor Imaging: Fusion of Scintigraphy with Magnetic Resonance and Computed Tomography	p. 347
14 Image Registration in the Thorax, Abdomen, and Pelvis	p. 367
Index	p. 407