Information Processing in Medical Imaging

1. Front Matter

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2. Automatic construction of eigenshape models by Genetic Algorithm

   • Aaron C. W. Kotcheff, Chris J. Taylor

   Pages 1-14

3. Quadratic variation of deformations

   • Fred L. Bookstein

   Pages 15-28

4. The softassign Procrustes matching algorithm

   • Anand Rangarajan, Haili Chui, Fred L. Bookstein

   Pages 29-42

5. Acoustic and elastic imaging to model disease-induced changes in soft tissue structure

   • Pawan Chaturvedi, Michael F. Insana, Timothy J. Hall

   Pages 43-56

6. 2D intravascular E.I.T. using a non-iterative, non-linear reconstruction algorithm

   • M. K. Konings, C. J. Bouma, W. P. Th. M. Mali, M. A. Viergever

   Pages 57-70

7. Optimal data types in optical tomography

   • M. Schweiger, S. R. Arridge

   Pages 71-84

8. Using spatial-temporal images for analysis of gated cardiac tomographic data: The “M-Mode” revisited

   • I. Buvat, M. L. Bartlett, A. N. Kitsiou, J. M. Carson, G. Srinivasan, K. A. Nour et al.

   Pages 85-98

9. Automated segmentation of brain exterior in MR images driven by empirical procedures and anatomical knowledge

   • Andrew J. Worth, Nikos Makris, James W. Meyer, Verne S. Caviness Jr., David N. Kennedy

   Pages 99-112

10. Automated 3D segmentation using deformable models and fuzzy affinity

    • Timothy N. Jones, Dimitris N. Metaxas

    Pages 113-126

11. Segmentation of medical image objects using deformable shape loci

    • Daniel Fritsch, Stephen Pizer, Liyun Yu, Valen Johnson, Edward Chaney

    Pages 127-140

12. Mapping the cerebral sulci: Application to morphological analysis of the cortex and to non-rigid registration

    • Marc Vaillant, Christos Davatzikos

    Pages 141-154

13. Bayesian detection of random signals on random backgrounds

    • Harrison H. Barrett, Craig K. Abbey

    Pages 155-166

14. Approximate distributions for Maximum Likelihood and maximum a posteriori estimates under a Gaussian noise model

    • Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki

    Pages 167-175

15. Continuous Gaussian mixture modeling

    • Stephen Aylward, Stephen Pizer

    Pages 176-189

16. New statistical models for randoms-precorrected PET scans

    • Mehmet Yavuz, Jeffrey A. Fessler

    Pages 190-203

17. Registration of 3D medical images using simple morphological tools

    • J. B. Antoine Maintz, Petra A. van den Elsen, Max A. Viergever

    Pages 204-217

18. Deformation for image guided interventions using a three component tissue model

    • P. J. Edwards, D. L. G. Hill, J. A. Little, D. J. Hawkes

    Pages 218-231

19. Registration of abdominal CT and SPECT images using Compton scatter data

    • Katarina Sjögreen, Michael Ljungberg, Kjell Erlandsson, Lars Floreby, Sven-Erik Strand

    Pages 232-244

20. Definition of volume transformations for volume interaction

    • Thomas Schiemann, Karl Heinz Höhne

    Pages 245-258

This book constitutes the refereed proceedings of the 15th International Conference on Information Processing in Medical Imaging, IPMI'97, held in Poultney, Vermont, USA, in June 1997.
The 27 revised full papers presented were selected from a total of 96 submissions; also included are 31 poster presentations. The book is divided into topical sections on shape models and matching, novel imaging methods, segmentation, image quality and statistical character of measured data, registration/mapping, statistical models in functional neuroimaging, and MR analysis and processing.

• Bildanalyse
• Mapping
• Medizinische Radiologie
• Neuro-Bildbearbeitung
• Struktur-Rekonstruktion
• image analysis
• imaging techniques
• medical radiology
• neuroimaging
• segmentation
• structure recontruction

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