Literature DB >> 8292645

Imaging transforms for visualizing surfaces and volumes.

J K Udupa1, R J Gonçalves.   

Abstract

Three-dimensional (3D) visualization in biomedical and other imaging areas is a rapidly emerging discipline. The major developments in this field are described in a unified and concise way. To this end, we introduce an operator notation to describe the basic imaging transforms commonly used in 3D visualization and to identify a comprehensive set of basic transforms. We also introduce several new basic transforms for filtering and interpolating scenes and structures and for rendering surfaces and volumes. We demonstrate not only how the existing visualization methodologies can be described concisely, but we also show how a great variety of new methodologies can be generated using both the existing imaging transforms and the new transforms introduced in this paper. A comprehensive evaluation method to compare objectively rendering methods used in visualization based on task-specific mathematical phantoms is described. We examine in detail separate transform sequences that are best suited for rendering robust and frail structures (ie, structures with well- and poorly defined boundaries).

Mesh:

Year:  1993        PMID: 8292645     DOI: 10.1007/BF03168529

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  19 in total

1.  Shading 3D-Images from CT Using Gray-Level Gradients.

Authors:  K H Hohne; R Bernstein
Journal:  IEEE Trans Med Imaging       Date:  1986       Impact factor: 10.048

2.  Shape-based interpolation of multidimensional objects.

Authors:  S P Raya; J K Udupa
Journal:  IEEE Trans Med Imaging       Date:  1990       Impact factor: 10.048

3.  Computer system for craniofacial surgical planning based on CT images.

Authors:  T Yasuda; Y Hashimoto; S Yokoi; J I Toriwaki
Journal:  IEEE Trans Med Imaging       Date:  1990       Impact factor: 10.048

4.  Surface and volume rendering in three-dimensional imaging: a comparison.

Authors:  J K Udupa; H M Hung; K S Chuang
Journal:  J Digit Imaging       Date:  1991-08       Impact factor: 4.056

5.  Analysis of brain and cerebrospinal fluid volumes with MR imaging. Part I. Methods, reliability, and validation.

Authors:  M I Kohn; N K Tanna; G T Herman; S M Resnick; P D Mozley; R E Gur; A Alavi; R A Zimmerman; R C Gur
Journal:  Radiology       Date:  1991-01       Impact factor: 11.105

6.  Boundary detection in multidimensions.

Authors:  J K Udupa; S N Srihari; G T Herman
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1982-01       Impact factor: 6.226

7.  Two algorithms for the three-dimensional reconstruction of tomograms.

Authors:  H E Cline; W E Lorensen; S Ludke; C R Crawford; B C Teeter
Journal:  Med Phys       Date:  1988 May-Jun       Impact factor: 4.071

8.  Use of computed tomography for a three-dimensional treatment planning system.

Authors:  D S Schlusselberg; W K Smith; D J Woodward; R W Parkey
Journal:  Comput Med Imaging Graph       Date:  1988 Jan-Feb       Impact factor: 4.790

9.  Analysis of brain and cerebrospinal fluid volumes with MR imaging: impact on PET data correction for atrophy. Part II. Aging and Alzheimer dementia.

Authors:  N K Tanna; M I Kohn; D N Horwich; P R Jolles; R A Zimmerman; W M Alves; A Alavi
Journal:  Radiology       Date:  1991-01       Impact factor: 11.105

10.  Alzheimer disease: measuring loss of cerebral gray matter with MR imaging.

Authors:  H Rusinek; M J de Leon; A E George; L A Stylopoulos; R Chandra; G Smith; T Rand; M Mourino; H Kowalski
Journal:  Radiology       Date:  1991-01       Impact factor: 11.105

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