Literature DB >> 1911974

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

J K Udupa1, H M Hung, K S Chuang.   

Abstract

Many surface rendering techniques are currently available for the three-dimensional display of structure data captured by imaging devices. Comparatively fewer volume rendering techniques are also available for the same purpose. The relative performance of these two methodologies in visualization tasks has been a subject of much discussion recently. Although it is very desirable to establish, based on observer studies, objective guidelines stating the relative merits of the two methodologies even for specific situations, it is impossible to conduct meaningful observer studies that take into account the numerousness of the techniques in each methodology, and within each technique, the numerousness of the parameters and their values that control the outcome of the technique. Our aim in this article is to compare the two methodologies purely on a technical basis in an attempt to understand their common weaknesses and disparate strengths. The purpose of this article is twofold--to report a new surface rendering technique and to compare it with two volume rendering techniques reported recently in the literature. The bases of comparison are: ability to portray thin bones; clarity of portrayal of sutures, fractures, fine textures, and gyrations; smoothness of natural ridges and silhouettes; and computational time and storage requirements. We analyze the underlying algorithms to study how they behave under each of these comparative criteria. Our conclusion is that, at the current state of development, the surface method has a slight edge over the volume methods for portrayal of information of the type described above and a significant advantage considering time and storage requirements, for implementations in identical environments.

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Year:  1991        PMID: 1911974     DOI: 10.1007/bf03168161

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


  4 in total

1.  Craniosynostosis: diagnostic value of three-dimensional CT reconstruction.

Authors:  M W Vannier; C F Hildebolt; J L Marsh; T K Pilgram; W H McAlister; G D Shackelford; C J Offutt; R H Knapp
Journal:  Radiology       Date:  1989-12       Impact factor: 11.105

2.  3-D segmentation of MR images of the head for 3-D display.

Authors:  M Bomans; K H Hohne; U Tiede; M Riemer
Journal:  IEEE Trans Med Imaging       Date:  1990       Impact factor: 10.048

3.  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

4.  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

  4 in total
  13 in total

Review 1.  Using diagnostic radiology in human evolutionary studies.

Authors:  F Spoor; N Jeffery; F Zonneveld
Journal:  J Anat       Date:  2000-07       Impact factor: 2.610

Review 2.  [Computer-assisted operational planning for pediatric abdominal surgery. 3D-visualized MRI with volume rendering].

Authors:  P Günther; J Tröger; S Holland-Cunz; K L Waag; J P Schenk
Journal:  Radiologe       Date:  2006-08       Impact factor: 0.635

3.  Multidimensional data format specification: a generalization of the American College of Radiology-National Electric Manufacturers Association standards.

Authors:  J K Udupa; H M Hung; D Odhner; R Goncalves
Journal:  J Digit Imaging       Date:  1992-02       Impact factor: 4.056

4.  Assessment of DICOM Viewers Capable of Loading Patient-specific 3D Models Obtained by Different Segmentation Platforms in the Operating Room.

Authors:  Giuseppe Lo Presti; Marina Carbone; Damiano Ciriaci; Daniele Aramini; Mauro Ferrari; Vincenzo Ferrari
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

5.  Lattice-Boltzmann interactive blood flow simulation pipeline.

Authors:  Sahar S Esfahani; Xiaojun Zhai; Minsi Chen; Abbes Amira; Faycal Bensaali; Julien AbiNahed; Sarada Dakua; Georges Younes; Abdulla Baobeid; Robin A Richardson; Peter V Coveney
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-03-04       Impact factor: 2.924

6.  Diagnostic potential of virtual bronchoscopy: advantages in comparison with axial CT slices, MPR and mIP?

Authors:  U Rapp-Bernhardt; T Welte; W Doehring; S Kropf; T M Bernhardt
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

7.  Preprocedural three-dimensional planning aids in transcatheter ductal stent placement: A single-center experience.

Authors:  Reid C Chamberlain; Jordan E Ezekian; Gregory M Sturgeon; Piers C A Barker; Kevin D Hill; Gregory A Fleming
Journal:  Catheter Cardiovasc Interv       Date:  2019-12-18       Impact factor: 2.692

8.  A moment-based three-dimensional edge operator.

Authors:  L M Luo; C Hamitouche; J L Dillenseger; J L Coatrieux
Journal:  IEEE Trans Biomed Eng       Date:  1993-07       Impact factor: 4.538

9.  Imaging transforms for visualizing surfaces and volumes.

Authors:  J K Udupa; R J Gonçalves
Journal:  J Digit Imaging       Date:  1993-11       Impact factor: 4.056

10.  Virtual Interactive Musculoskeletal System (VIMS) in orthopaedic research, education and clinical patient care.

Authors:  Edmund Y S Chao; Robert S Armiger; Hiroaki Yoshida; Jonathan Lim; Naoki Haraguchi
Journal:  J Orthop Surg Res       Date:  2007-03-08       Impact factor: 2.359

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