Illustrative visualization of vascular models for static 2D representations

Kai Lawonn; Maria Luz; Bernhard Preim; Christian Hansen

doi:10.1007/978-3-319-24571-3_48

Illustrative visualization of vascular models for static 2D representations

Kai Lawonn, Maria Luz, Bernhard Preim, Christian Hansen

Computer Graphics and Visualisation

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

35 Citations (Scopus)

Abstract

Depth assessment of 3D vascular models visualized on 2D displays is often difficult, especially in complex workspace conditions such as in the operating room. To address these limitations, we propose a new visualization technique for 3D vascular models. Our technique is tailored to static monoscopic 2D representations, as they are often used during surgery. To improve depth assessment, we propose a combination of supporting lines, view-aligned quads, and illustrative shadows. In addition, a hatching scheme that uses different line styles depending on a distance measure is applied to encode vascular shape as well as the distance to tumors. The resulting visualization can be displayed on monoscopic 2D monitors and on 2D printouts without the requirement to use color or intensity gradients. A qualitative study with 15 participants and a quantitative study with 50 participants confirm that the proposed visualization technique significantly improves depth assessment of complex 3D vascular models.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings
Publisher	Springer
Pages	399-406
Number of pages	8
Volume	9350
ISBN (Print)	9783319245706
DOIs	https://doi.org/10.1007/978-3-319-24571-3_48
Publication status	Published - 2015
Event	18th International Conference on Medical Image Computing and Computer-Assisted Intervention - Munich, Germany Duration: 5 Oct 2015 → 9 Oct 2015 Conference number: 18

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9350
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	18th International Conference on Medical Image Computing and Computer-Assisted Intervention
Abbreviated title	MICCAI 2015
Country/Territory	Germany
City	Munich
Period	5/10/15 → 9/10/15

Keywords

Evaluation
Line and Curve Generation
Planning and Image Guidance of Interventions
Visualization

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10.1007/978-3-319-24571-3_48

Cite this

Lawonn, K., Luz, M., Preim, B., & Hansen, C. (2015). Illustrative visualization of vascular models for static 2D representations. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings (Vol. 9350, pp. 399-406). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9350). Springer. https://doi.org/10.1007/978-3-319-24571-3_48

Lawonn, Kai ; Luz, Maria ; Preim, Bernhard et al. / Illustrative visualization of vascular models for static 2D representations. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings. Vol. 9350 Springer, 2015. pp. 399-406 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Depth assessment of 3D vascular models visualized on 2D displays is often difficult, especially in complex workspace conditions such as in the operating room. To address these limitations, we propose a new visualization technique for 3D vascular models. Our technique is tailored to static monoscopic 2D representations, as they are often used during surgery. To improve depth assessment, we propose a combination of supporting lines, view-aligned quads, and illustrative shadows. In addition, a hatching scheme that uses different line styles depending on a distance measure is applied to encode vascular shape as well as the distance to tumors. The resulting visualization can be displayed on monoscopic 2D monitors and on 2D printouts without the requirement to use color or intensity gradients. A qualitative study with 15 participants and a quantitative study with 50 participants confirm that the proposed visualization technique significantly improves depth assessment of complex 3D vascular models.",

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booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings",

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Lawonn, K, Luz, M, Preim, B & Hansen, C 2015, Illustrative visualization of vascular models for static 2D representations. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings. vol. 9350, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9350, Springer, pp. 399-406, 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, Munich, Germany, 5/10/15. https://doi.org/10.1007/978-3-319-24571-3_48

Illustrative visualization of vascular models for static 2D representations. / Lawonn, Kai; Luz, Maria; Preim, Bernhard et al.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings. Vol. 9350 Springer, 2015. p. 399-406 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9350).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Illustrative visualization of vascular models for static 2D representations

AU - Lawonn, Kai

AU - Luz, Maria

AU - Preim, Bernhard

AU - Hansen, Christian

N1 - Conference code: 18

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N2 - Depth assessment of 3D vascular models visualized on 2D displays is often difficult, especially in complex workspace conditions such as in the operating room. To address these limitations, we propose a new visualization technique for 3D vascular models. Our technique is tailored to static monoscopic 2D representations, as they are often used during surgery. To improve depth assessment, we propose a combination of supporting lines, view-aligned quads, and illustrative shadows. In addition, a hatching scheme that uses different line styles depending on a distance measure is applied to encode vascular shape as well as the distance to tumors. The resulting visualization can be displayed on monoscopic 2D monitors and on 2D printouts without the requirement to use color or intensity gradients. A qualitative study with 15 participants and a quantitative study with 50 participants confirm that the proposed visualization technique significantly improves depth assessment of complex 3D vascular models.

AB - Depth assessment of 3D vascular models visualized on 2D displays is often difficult, especially in complex workspace conditions such as in the operating room. To address these limitations, we propose a new visualization technique for 3D vascular models. Our technique is tailored to static monoscopic 2D representations, as they are often used during surgery. To improve depth assessment, we propose a combination of supporting lines, view-aligned quads, and illustrative shadows. In addition, a hatching scheme that uses different line styles depending on a distance measure is applied to encode vascular shape as well as the distance to tumors. The resulting visualization can be displayed on monoscopic 2D monitors and on 2D printouts without the requirement to use color or intensity gradients. A qualitative study with 15 participants and a quantitative study with 50 participants confirm that the proposed visualization technique significantly improves depth assessment of complex 3D vascular models.

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KW - Line and Curve Generation

KW - Planning and Image Guidance of Interventions

KW - Visualization

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Lawonn K, Luz M, Preim B, Hansen C. Illustrative visualization of vascular models for static 2D representations. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings. Vol. 9350. Springer. 2015. p. 399-406. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-24571-3_48

Illustrative visualization of vascular models for static 2D representations

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Keywords

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