Shape-based interpolation using a chamfer distance
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Shape-based interpolation is a methodology to estimate the locations of the picture elements (pixels) which would be contained in an organ of interest in non-existent slices through the human body from the locations of the pixels in the organ in slices that have been obtained by a tomographic imager. In this paper we motivate the need for shape-based interpolation and report on some quantitative experiments which were done to evaluate the relative performance of a number of interpolation methods for tomographic imaging of the human body. In particular, we introduce the new notion of shape-based interpolation using a chamfer distance and show that a statistically extremely significant improvement over previously proposed methods is achieved by this newly proposed interpolation method.
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- Shape-based interpolation using a chamfer distance
- Book Title
- Information Processing in Medical Imaging
- Book Subtitle
- 12th International Conference, IPMI '91 Wye, UK, July 7–12, 1991 Proceedings
- pp 314-325
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Additional Links
- Tomographic imaging
- three-dimensional display
- pixel classification
- volume estimation
- performance evaluation
- Industry Sectors
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