by Kai Lawonn, Maria Luz, Bernhard Preim, Christian Hansen
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.
Reference:
Illustrative Visualization of Vascular Models for Static 2D Representations (Kai Lawonn, Maria Luz, Bernhard Preim, Christian Hansen), In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 (Nassir Navab, Joachim Hornegger, WilliamM. Wells, Alejandro F. Frangi, eds.), Springer International Publishing, volume 9350, 2015.
Bibtex Entry:
@inproceedings{lawonn_illustrative_2015,
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {Illustrative {Visualization} of {Vascular} {Models} for {Static} 2D {Representations}},
	volume = {9350},
	isbn = {978-3-319-24570-6},
	url = {http://dx.doi.org/10.1007/978-3-319-24571-3_48},
	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.},
	language = {English},
	booktitle = {Medical {Image} {Computing} and {Computer}-{Assisted} {Intervention} - {MICCAI} 2015},
	publisher = {Springer International Publishing},
	author = {Lawonn, Kai and Luz, Maria and Preim, Bernhard and Hansen, Christian},
	editor = {Navab, Nassir and Hornegger, Joachim and Wells, WilliamM. and Frangi, Alejandro F.},
	year = {2015},
	keywords = {Evaluation, Line and Curve Generation, Planning and Image Guidance of Interventions, Visualization},
	pages = {399--406}
}