Visual Exploration of Nasal Airflow

Zachow, Stefan; Muigg, P.; Hildebrandt, Thomas; Doleisch, Helmut; Hege, Hans-Christian

doi:10.1109/tvcg.2009.198

Cited by 42 publications

(48 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zachow et al investigated temperature and humidity distribution in the nasal cavity during the breathing cycle (8) . However, these studies neglected the thickness of the mucus membrane.…”

Section: Introductionmentioning

confidence: 99%

Influence of Latent Heat in the Nasal Cavity

Hanida

Mori

Kumahata

et al. 2013

JBSE

View full text Add to dashboard Cite

Among the several functions of the nasal cavity, temperature and humidity adjustments are important for preserving the trachea and lungs. The functions of the nasal cavity have been clarified in experiments investigating the conditions in the nasal cavity. However, the difficulties of noninvasive measurements have rendered nasal cavity simulations an attractive alternative. Data are readily obtained from a simulated result. In this study, airflow, temperature, and humidity transfer in the human nasal cavity were investigated in a nasal cavity wall model of temperature and humidity transport. The simulated result was verified by comparison with experimental data. A reasonable agreement was attained between experimental data and a model incorporating the latent heat effect. The model simulates heat and water exchange in the nasal cavity. In all cases, the temperature and humidity of the inhaled air were adjusted to suitable physiological values. Temperature and humidity gradients were highest at the front of the nasal cavity. The influence of latent heat was clarified by comparing simulation results with and without latent heat under several inhaled air conditions. In the hot-humid inhaled air case, temperature in the Kiesselbach area was increased by latent heat of condensation, and relative humidity declined. In the other inhaled air cases, the temperature in the Kiesselbach area was decreased by latent heat of evaporation, while relative humidity increased. Latent heat effect was particularly influential in the hot inhaled air case.

show abstract

“…Zachow et al investigated temperature and humidity distribution in the nasal cavity during the breathing cycle (8) . However, these studies neglected the thickness of the mucus membrane.…”

Section: Introductionmentioning

confidence: 99%

Influence of Latent Heat in the Nasal Cavity

Hanida

Mori

Kumahata

et al. 2013

JBSE

View full text Add to dashboard Cite

show abstract

“…The combination of brushing and linking with focus+context techniques has been proposed in [14,5]. For analyzing (time-varying) multi-variate 3D fields, brushing and linked 3D views has been proposed [8,9,6,24,56,23,25]. In volume rendering applications, a number of multiple view approaches have been used for advanced structure exploration and navigation, for instance, in [51,52,12], to name just a few.…”

Section: Related Workmentioning

confidence: 99%

“…In particular when volume rendering is used to explore multi-variate fields, requiring quantitative comparisons across multiple parameters, these limitations are further increased. A solution to remedy this situation is to combine techniques from information visualization and volume rendering via brushing and linking [9,6,39,56]. Such techniques first generate an overview of the data via attribute views, and brushing functionality in these views is then used to select data values meeting certain criteria.…”

Section: Introductionmentioning

confidence: 99%

Multi-Charts for Comparative 3D Ensemble Visualization

Demir

Dick

Westermann

2014

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Fig. 1. Multi-chart visualization of a temperature ensemble forecast from the ECMWF Ensemble Prediction System (EPS), ECMWF's operational ensemble weather forecast system [30]. The ensemble consists of 51 members of resolution 256 × 128 × 64 each. Each bar in the multi-chart is associated with a distinct 3D subdomain, and encodes the distribution of the ensemble members in this subdomain by means of a histogram. In addition, a few user-selected ensemble members are depicted using polylines. By means of brushing in the multi-chart view (indicated by yellow background color), the user has selected regions where the range over the ensemble members and thus the uncertainty is high. The selected regions are instantly emphasized in the 3D view.Abstract-A comparative visualization of multiple volume data sets is challenging due to the inherent occlusion effects, yet it is important to effectively reveal uncertainties, correlations and reliable trends in 3D ensemble fields. In this paper we present bidirectional linking of multi-charts and volume visualization as a means to analyze visually 3D scalar ensemble fields at the data level. Multi-charts are an extension of conventional bar and line charts: They linearize the 3D data points along a space-filling curve and draw them as multiple charts in the same plot area. The bar charts encode statistical information on ensemble members, such as histograms and probability densities, and line charts are overlayed to allow comparing members against the ensemble. Alternative linearizations based on histogram similarities or ensemble variation allow clustering of spatial locations depending on data distribution. Multi-charts organize the data at multiple scales to quickly provide overviews and enable users to select regions exhibiting interesting behavior interactively. They are further put into a spatial context by allowing the user to brush or query value intervals and specific distributions, and to simultaneously visualize the corresponding spatial points via volume rendering. By providing a picking mechanism in 3D and instantly highlighting the corresponding data points in the chart, the user can go back and forth between the abstract and the 3D view to focus the analysis.

show abstract

“…Tzeng et al [14] present such an interface that permits the user to specify the input to a multi-dimensional data classifier via brushing. Another interface for exploring mappings of multi-dimensional data is presented by Zachow et al [15]. They allow to brush values of interest in multiple linked abstract data representations to visually explore nasal airflow.…”

Section: Related Workmentioning

confidence: 99%

Semantics by analogy for illustrative volume visualization

Gerl

Rautek

Isenberg

et al. 2012

Computers & Graphics

View full text Add to dashboard Cite

We present an interactive graphical approach for the explicit specification of semantics for volume visualization. This explicit and graphical specification of semantics for volumetric features allows us to visually assign meaning to both input and output parameters of the visualization mapping. This is in contrast to the implicit way of specifying semantics using transfer functions. In particular, we demonstrate how to realize a dynamic specification of semantics which allows to flexibly explore a wide range of mappings. Our approach is based on three concepts. First, we use semantic shader augmentation to automatically add rule-based rendering functionality to static visualization mappings in a shader program, while preserving the visual abstraction that the initial shader encodes. With this technique we extend recent developments that define a mapping between data attributes and visual attributes with rules, which are evaluated using fuzzy logic. Second, we let users define the semantics by analogy through brushing on renderings of the data attributes of interest. Third, the rules are specified graphically in an interface that provides visual clues for potential modifications. Together, the presented methods offer a high degree of freedom in the specification and exploration of rule-based mappings and avoid the limitations of a linguistic rule formulation.

show abstract

Visual Exploration of Nasal Airflow

Cited by 42 publications

References 26 publications

Influence of Latent Heat in the Nasal Cavity

Influence of Latent Heat in the Nasal Cavity

Multi-Charts for Comparative 3D Ensemble Visualization

Semantics by analogy for illustrative volume visualization

Contact Info

Product

Resources

About