15. IPMI 1997: Poultney, Vermont, USA

Shape Models and Matching

• Aaron C. W. Kotcheff, Christopher J. Taylor:
  Automatic Construction of Eigenshape Models by Genetic Algorithm. 1-14
  
• Fred L. Bookstein:
  Quadratic Variation of Deformations. 15-28
  
• Anand Rangarajan, Haili Chui, Fred L. Bookstein:
  The Softassign Procrustes Matching Algorithm. 29-42
  

Novel Imaging Methods

• Pawan Chaturvedi, Michael F. Insana, Timothy J. Hall:
  Acoustic and Elastic Imaging to Model Disease-Induced Changes in Soft Tissue Structure. 43-56
  
• M. K. Konings, Carolien J. Bouma, W. P. Th. M. Mali, Max A. Viergever:
  2D Intravascular E.I.T. Using a Non-iterative, Non-linear Reconstruction Algorithm. 57-70
  
• Martin Schweiger, Simon R. Arridge:
  Optimal Data Types in Optical Tomography. 71-84
  
• Irène Buvat, M. L. Bartlett, A. N. Kitsiou, J. M. Carson, G. Srinivasan, K. A. Nour, C. C. Chen, V. Dilsizian, Stephen L. Bacharach:
  Using Spatial-Temporal Images for Analysis of Gated Cardiac Tomographic Data: The "M-Mode" Revisited. 85-98
  

Segmentation

• Andrew J. Worth, Nikos Makris, James W. Meyer, Verne S. Caviness Jr., David N. Kennedy:
  Automated Segmentation of Brain Exterior in MR Images Driven by Empirical Procedures and Anatomical Knowledge. 99-112
  
• Timothy N. Jones, Dimitris N. Metaxas:
  Automated 3D Segmentation Using Deformable Models and Fuzzy Affinity. 113-126
  
• Daniel S. Fritsch, Stephen M. Pizer, Liyun Yu, Valen E. Johnson, Edward L. Chaney:
  Segmentation of Medical Image Objects Using Deformable Shape Loci. 127-140
  
• Marc Vaillant, Christos Davatzikos:
  Mapping the Cerebral Sulci: Application to Morphological Analysis of the Cortex and to Non-rigid Registration. 141-154
  

Image Quality and the Statistical Character of Measured Data

• Harrison H. Barrett, Craig K. Abbey:
  Bayesian Detection of Random Signals on Random Backgrounds. 155-166
  
• Craig K. Abbey, Eric Clarkson, Harrison H. Barrett, Stefan P. Müller, Frank J. Rybicki:
  Approximate Distributions for Maximum Likelihood and Maximum a posteriori Estimates Under a Gaussain Noise Model. 167-175
  
• Stephen R. Aylward, Stephen M. Pizer:
  Continuous Gaussian Mixture Modeling. 176-189
  
• Mehmet Yavuz, Jeffrey A. Fessler:
  New Statistical Models for Randoms-Precorrected PET Scans. 190-203
  

Registration/Mapping

• J. B. Antoine Maintz, Petra A. van den Elsen, Max A. Viergever:
  Registration of 3D Medical Images Using Simple Morphological Tools. 204-217
  
• Philip J. Edwards, Derek L. G. Hill, John A. Little, David J. Hawkes:
  Deformation for Image Guided Interventions Using a Three Component Tissue Model. 218-231
  
• Katarina Sjögreen, Michael Ljungberg, Kjell Erlandsson, Lars Floreby, Sven-Erik Strand:
  Registration of Abdominal CT and SPECT Images Using Compton Scatter Data. 232-244
  
• Thomas Schiemann, Karl Heinz Höhne:
  Definition of Volume Transformations for Volume Interaction. 245-258
  

Statistical Models in Functional Neuroimaging

• Niels Mørch, Lars Kai Hansen, Stephen C. Strother, Claus Svarer, David A. Rottenberg, Benny Lautrup, Robert L. Savoy, Olaf B. Paulson:
  Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover. 259-270
  
• Ranjan Maitra:
  Synthetic Resampling Methods for Variance Estimation in Parametric Images. 271-284
  
• Habib Benali, Irène Buvat, J. L. Anton, Mélanie Pélégrini, M. Di Paola, J. Bittoun, Yves Burnod, R. Di Paola:
  Space-Time Statistical Model for Functional MRI Image Sequences. 285-298
  
• Alexander S. Houston:
  Jackknifing a Normal Database for Regional Cerebral Blood Flow SPECT Obtained Using Principal Components. 299-312
  

MR Image Analysis and Processing

• William S. Kerwin, Jerry L. Prince:
  Generating 3-D Cardiac Material Markers Using Tagged MRI. 313-326
  
• Thomas S. Denney Jr.:
  Identification of Myocardial Tags in Tagged MR Images Without Prior Knowledge of Myocardial Contours. 327-340
  
• David Atkinson, Derek L. G. Hill, Peter N. R. Stoyle, Paul E. Summers, Steven F. Keevil:
  An Autofocus Algorithm for the Automatic Correction of Motion Artifacts in MR Images. 341-354
  
• Peter A. Freeborough, Nick C. Fox:
  Measurement of Global and Regional Cerebral Volume Changes by Integrating Boundary Shifts Between Registered Serial 3D MR Scans. 355-368
  

Posters

Segmentation/Structural Models

• Gabriele Lohmann, Frithjof Kruggel, D. Yves von Cramon:
  Automatic Detection of Sulcal Bottom Lines in MR Images of the Human Brain. 369-374
  
• Nicolae Duta, Milan Sonka:
  Segmentation and Interpretation of MR Brain Images Using an Improved Knowledge-Based Active Shape Model. 375-380
  
• Sarang C. Joshi, Ayananshu Banerjee, Gary E. Christensen, John G. Csernansky, John W. Haller, Michael I. Miller, Lei E. Wang:
  Gaussian Random Fields on Sub-Manifolds for Characterizing Brain Surfaces. 381-386
  
• Yutaka Hata, Syoji Kobashi, Naotake Kamiura, Makoto Ishikawa:
  Fuzzy Logic Approach to 3D Magnetic Resonance Image Segmentation. 387-392
  
• David Dean, Krishnamurthy Subramanyan, Janardhan Kamath, Fred L. Bookstein, David C. Wilson, David Kwon, Peter Buckley:
  Comparison of Traditional Brain Segmentation Tools with 3D Self-Organizing Maps. 393-398
  
• Chenyang Xu, Dzung L. Pham, Jerry L. Prince:
  Finding the Brain Cortex Using Fuzzy Segmentation, Isosurfaces, and Deformable Surface Models. 399-404
  
• Reyer Zwiggelaar, Tim C. Parr, Caroline R. M. Boggis, Susan M. Astley, Christopher J. Taylor:
  Statistical Modelling of Lines and Structures in Mammograms. 405-410
  
• Kálmán Palágyi, Attila Kuba:
  A Thinning Algorithm to Extract Medial Lines from 3D Medical Images. 411-416
  
• Sílvia D. Olabarriaga, Arnold W. M. Smeulders:
  Setting the Mind for Intelligent Interactive Segmentation: Overview, Requirements, and Framework. 417-422
  
• Dale L. Wilson, J. Alison Noble:
  Segmentation of Cerebral Vessels and Aneurysms from MR Angiography Data. 423-428
  
• S. Aharon, B. M. Cameron, Richard A. Robb:
  Computation of Efficient Patient Specific Models From 3-D Medical Images: Use in Virtual Endoscopy and Surgery Rehearsal. 429-434
  

Quantitative Image Analysis

• Wiro J. Niessen, A. M. López, W. J. van Enk, P. M. v. Roermund, Bart M. ter Haar Romeny, Max A. Viergever:
  In Vivo Analysis of Trabecular Bone Architecture. 435-440
  
• Paul P. Smyth, Christopher J. Taylor, Judith E. Adams:
  Automatic Measurement of Vertebral Shape Using Active Shape Models. 441-446
  
• Guang-Zhong Yang, David M. Hansell:
  A Hybrid Approach for the Detection of Small Airways Disease from Computed Tomographic Images. 447-452
  
• Sui Ping Huan, Brian E. Chapman, Joseph B. Muhlestein, Duane D. Blatter, Dennis L. Parker:
  Computer Simulation of Convection and Diffusion Effects on Velocity Estimations from X-Ray Contrast Density Time Curves. 453-458
  
• John G. Sled, Alex P. Zijdenbos, Alan C. Evans:
  A Comparison of Retrospective Intensity Non-uniformity Correction Methods for MRI. 459-464
  

Registration/Mapping/Tracking

• Baba C. Vemuri, S. Huang, Sartaj Sahni, Christiana Morison Leonard, C. Mohr, T. Lucas, R. L. Gilmore, J. Fitzsimmons:
  A Robust and Efficient Algorithm for Image Registration. 465-470
  
• Frithjof Kruggel, Gabriele Lohmann:
  Automatical Adaption of the Stereotactical Coordinate System in Brain MRI Datasets. 471-476
  
• Lionel Le Briquer, James C. Gee:
  Design of a Statistical Model of Brain Shape. 477-482
  
• Andrew Hill, Alan D. Brett, Christopher J. Taylor:
  Automatic Landmark Identification Using a New Method of Non-rigid Correspondence. 483-488
  
• Hemant Tagare:
  Non-rigid Curve Correspondence for Estimating Heart Motion. 489-494
  
• Delman Lee, John T. Kent, Kanti V. Mardia:
  Tracking of Tagged MR Images by Bayesian Analysis of a Network of Quads. 495-500
  

Novel Imaging Methods

• Symon Cotton, Ela Claridge, Per Hall:
  Noninvasive Skin Imaging. 501-506
  
• Robert Wolfe, Denis Laurendeau:
  Modelling Interreflections in a System Based on the Differential Absorption of Light (DAL) for the Measurement of Range Images. 507-512
  
• Rashidus S. Mia, Murray H. Loew, Keith A. Wear, Robert F. Wagner:
  Quantitative Estimation of Scatterer Spacing from Backscattered Ultrasound Signals Using the Complex Cepstrum. 513-518
  
• Robert Rohling, Andrew H. Gee, Laurence H. Berman:
  Spatial Compounding of 3-D Ultrasound Images. 519-524
  

Image/Structure Reconstruction

• K. C. Tam:
  Cone Beam Imaging of a Section of a Long Object with a Short Detector. 525-530
  
• Yi-Hwa Liu, Anand Rangarajan, Daniel Gagnon, Michel Therrien, Albert J. Sinusas, Frans J. Th. Wackers, I. George Zubal:
  New Methods for SPECT Imaging and Pre-reconstruction Restoration. 531-536
  
• Elizabeth Bullitt, Alan Liu, Stephen R. Aylward, Stephen M. Pizer:
  Reconstruction of the Intracerebral Vasculature from MRA and a Pair of Projection Views. 537-542
  

Image Quality

• Brian E. Chapman, K. Craig Goodrich, Andrew L. Alexander, Duane D. Blatter, Dennis L. Parker:
  Two Alternative Forced Choice Evaluation of Vessel Visibility Increases Due to Zero-filled Interpolation in MR Angiography. 543-548
  
• Eric Clarkson, Harrison H. Barrett:
  Bayesian Detection with Amplitude, Scale, Orientation and Position Uncertainty. 549-554