&lt;title&gt;VIDA: an environment for multidimensional image display and analysis&lt;/title&gt;

Hoffman, Eric A.; Gnanaprakasam, Daniel; Gupta, Krishanu B.; Hoford, John; Kugelmass, Steven D.; Kulawiec, Richard S.

doi:10.1117/12.59595

Cited by 69 publications

(36 citation statements)

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“…The regional deformations of the myocardium were then characterized by using homogeneous finite strain analysis on the deforming triangles 6,17,18,24 -27 with the strain software module of VIDA. 21 This methodology has been validated in a phantom 14 and used in vivo by Young et al 27 These studies demonstrated that homogeneous strain analysis produced unbiased estimates of the principal strains, principal angles, and orientations of the principal axes.…”

Section: Image and Data Analysismentioning

confidence: 99%

“…The VIDA (Volumetric Image Display and Analysis) 21 software package was used to manipulate the images and perform all measurements as described previously. 6,17,18 Evaluation of wall motion and strain has also been previously described.…”

Section: Image and Data Analysismentioning

confidence: 99%

“…17 In brief, the first step was to track the magnetically tagged grid intersections through systole on a computer-based image by a video cursor and mouse with image processing software. 21 Delaunay triangulation 22,23 was used to create a triangular grid automatically from the intersections that provided uniform, nonoverlapping triangles. To compute regional wall motion using wall motion software on the computer, the centroid of each triangle was Figure 1.…”

Section: Image and Data Analysismentioning

confidence: 99%

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Mechanics of the Single Left Ventricle

et al. 1998

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Background-Left ventricular (LV) effects on right ventricular (RV) function are well known. Less is understood about the effect of the RV on systemic LV mechanics. To determine this interaction, we compared systemic LVs with and without an RV mechanically coupled to them. Methods and Results-MR myocardial tagging was used to examine 18 subjects with systemic LVs: 10 with functional single LVs (SLV) and 8 normal subjects (NL). Tracking the systolic motion of the intersecting stripes were used to determine regional twist and radial motion. Finite strain analysis was applied to derive principal strains at the atrioventricular valve (AVV) and apical short-axis levels and in 4 anatomic wall regions. Similar E 1 (circumferential shortening) strain and heterogeneity of strain were noted between SLV and NL except in the septal wall. At the septal wall, NL displayed greater absolute strain (AVVϭϪ0.16Ϯ0.02, apexϭϪ0.17Ϯ0.02) and less heterogeneity of strain than SLV (AVVϭϪ0.12Ϯ0.02, apexϭϪ0.13Ϯ0.02). Similar E 2 (wall thickening) strain and heterogeneity of strain were also noted between SLV and NL except again at the septal wall. At the septal wall, SLV displayed greater absolute E 2 strain (AVVϭ0.17Ϯ0.08, apexϭ0.19Ϯ0.09) and less heterogeneity of strain than NL (AVVϭ0.07Ϯ0.07, apexϭ0.05Ϯ0.05). SLV twisted significantly less counterclockwise than NL in 6 of 8 wall regions and actually twisted clockwise at the AVV lateral wall. Although there was no significant difference between groups in radial wall motion, the septal and inferior walls of SLV demonstrated significantly less radial motion compared with other SLV walls. Conclusions-A major influence of the RV on systemic LV strain and radial motion occurs in the septal wall, whereas absence of the RV causes marked differences in LV twist. These findings may yield clues to the long-term functioning of the SLV and be useful in determining strategies for RV augmentation of LV function. (Circulation. 1998;98:330-338.)

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Section: Image and Data Analysismentioning

confidence: 99%

Section: Image and Data Analysismentioning

confidence: 99%

Section: Image and Data Analysismentioning

confidence: 99%

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Mechanics of the Single Left Ventricle

et al. 1998

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“…Regions on different slices are uncorrelated so that the covariance for two multislice VOI's is cov cov (11) Note that in this exposition, we have not yet implemented a correction for scatter. The factory-supplied software for our scanner uses a spatially invariant deconvolution to correct for this effect [4], as suggested by King [18] and Bergstrom [19].…”

Section: Pet Quantificationmentioning

confidence: 99%

“…2 shows an example of the region drawing environment. Structured around the VIDA software package [11], a main window [ Fig. 2(a)], hereafter called the drawing plane, is provided for the user to draw 2-D regions.…”

Section: B Volume Of Interest Constructionmentioning

confidence: 99%

A methodology for specifying PET VOIs using multimodality techniques

Klein

Teng

Jagust

et al. 1997

IEEE Trans. Med. Imaging

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The lung physiome: merging imaging‐based measures with predictive computational models

Tawhai

Hoffman

Lin

2009

WIREs Mechanisms of Disease

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Global measurements of the lung provided by standard pulmonary function tests do not give insight into the regional basis of lung function and lung disease. Advances in imaging methodologies, computer technologies, and subject-specific simulations are creating new opportunities for studying structure-function relationships in the lung through multi-disciplinary research. The digital Human Lung Atlas is an imaging-based resource compiled from male and female subjects spanning several decades of age. The Atlas comprises both structural and functional measures, and includes computational models derived to match individual subjects for personalized prediction of function. The computational models in the Atlas form part of the Lung Physiome project, which is an international effort to develop integrative models of lung function at all levels of biological organization. The computational models provide mechanistic interpretation of imaging measures; the Atlas provides structural data upon which to base model geometry, and functional data against which to test hypotheses. The example of simulating air flow on a subject-specific basis is considered. Methods for deriving multi-scale models of the airway geometry for individual subjects in the Atlas are outlined, and methods for modeling turbulent flows in the airway are reviewed.

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<title>VIDA: an environment for multidimensional image display and analysis</title>

Cited by 69 publications

References 0 publications

Mechanics of the Single Left Ventricle

Mechanics of the Single Left Ventricle

A methodology for specifying PET VOIs using multimodality techniques

The lung physiome: merging imaging‐based measures with predictive computational models

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