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2D Histogram Based Volume Visualization: Combining Intensity and Size of Anatomical Structures

Wesarg, Stefan and Kirschner, Matthias and Khan, M. Fawad (2010):
2D Histogram Based Volume Visualization: Combining Intensity and Size of Anatomical Structures.
In: International Journal of Computer Assisted Radiology and Surgery, 5 (6), pp. 655-666FirstublishedasOnlineFirst. DOI: 10.1007/s11548-010-0480-1,
[Article]

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.

Item Type: Article
Erschienen: 2010
Creators: Wesarg, Stefan and Kirschner, Matthias and Khan, M. Fawad
Title: 2D Histogram Based Volume Visualization: Combining Intensity and Size of Anatomical Structures
Language: English
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.

Journal or Publication Title: International Journal of Computer Assisted Radiology and Surgery
Journal volume: 5
Number: 6
Uncontrolled Keywords: Forschungsgruppe Medical Computing (MECO), 3D Visualization, Volume rendering, Histograms, Transfer functions, Computed tomography (CT), Magnetic resonance imaging (MRI)
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/s11548-010-0480-1
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