Literature DB >> 20512631

2D Histogram based volume visualization: combining intensity and size of anatomical structures.

S Wesarg1, M Kirschner, M F Khan.   

Abstract

PURPOSE: Surgical planning requires 3D volume visualizations based on transfer functions (TF) that assign optical properties to volumetric image data. Two-dimensional TFs and 2D histograms may be employed to improve overall performance.
METHODS: Anatomical structures were used for 2D TF definition in an algorithm that computes a new structure-size image from the original data set. The original image and structure-size data sets were used to generate a structure-size enhanced (SSE) histogram. Alternatively, the gradient magnitude could be used as second property for 2D TF definition. Both types of 2D TFs were generated and compared using subjective evaluation of anatomic feature conspicuity.
RESULTS: Experiments with several medical image data sets provided SSE histograms that were judged subjectively to be more intuitive and better discriminated different anatomical structures than gradient magnitude-based 2D histograms.
CONCLUSIONS: In clinical applications, where the size of anatomical structures is more meaningful than gradient magnitude, the 2D TF can be effective for highlighting anatomical structures in 3D visualizations.

Mesh:

Year:  2010        PMID: 20512631     DOI: 10.1007/s11548-010-0480-1

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  8 in total

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Authors:  Petr Sereda; Bartrolí Anna Vilanova; Iwo W O Serlie; Frans A Gerritsen
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2.  Semiautomatic transfer function initialization for abdominal visualization using self-generating hierarchical radial basis function networks.

Authors:  M Alper Selver; Cüneyt Güzeliş
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 May-Jun       Impact factor: 4.579

3.  Size-based transfer functions: a new volume exploration technique.

Authors:  Carlos D Correa; Kwan-Liu Ma
Journal:  IEEE Trans Vis Comput Graph       Date:  2008 Nov-Dec       Impact factor: 4.579

4.  Interactive volume exploration for feature detection and quantification in industrial CT data.

Authors:  Markus Hadwiger; Fritz Laura; Christof Rezk-Salama; Thomas Höllt; Georg Geier; Thomas Pabel
Journal:  IEEE Trans Vis Comput Graph       Date:  2008 Nov-Dec       Impact factor: 4.579

5.  Automatic transfer function generation using contour tree controlled residue flow model and color harmonics.

Authors:  Jianlong Zhou; Masahiro Takatsuka
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

6.  Perception-based transparency optimization for direct volume rendering.

Authors:  Ming-Yuen Chan; Yingcai Wu; Wai-Ho Mak; Wei Chen; Huamin Qu
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

7.  The occlusion spectrum for volume classification and visualization.

Authors:  Carlos D Correa; Kwan-Liu Ma
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

8.  Structuring feature space: a non-parametric method for volumetric transfer function generation.

Authors:  Ross Maciejewski; Insoo Woo; Wei Chen; David S Ebert
Journal:  IEEE Trans Vis Comput Graph       Date:  2009 Nov-Dec       Impact factor: 4.579

  8 in total

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