3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images

Lei, Tianhu; Udupa, Jayaram K.; Odhner, Dewey; Nyúl, László G.; Saha, Punam K.

doi:10.1016/s0895-6111(03)00029-6

Cited by 11 publications

(9 citation statements)

References 28 publications

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“…Using the MPR technique, seeds can be planted anywhere in the volume, and oblique planes used whenever needed to avoid adjacent structures. Compared to other seed planting systems [6,12], based on MIP or axial images, our solution seems to allow more accurate placing of seeds in complicated anatomic situations. In our experience, the learning curve of the software is fast, and a new user is soon able to place seeds in such a way that less subsequent interaction is needed.…”

Section: Discussionmentioning

confidence: 99%

An interactive software module for visualizing coronary arteries in CT angiography

2008

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Abstract:Object: A new software module for coronary artery segmentation and visualization in CT Angiography (CTA) datasets is presented, which aims to interactively segment coronary arteries and visualize them in 3D with Maximum intensity projection (MIP) and volume rendering (VRT). Materials and Methods:The software was built as a plugin for an advanced open-source PACS workstation -OsiriX. The main segmentation function is based an optimized "virtual contrast injection" algorithm", which uses fuzzy connectedness of the vessel lumen to separate the contrast-filled structures from each other. The software was evaluated in 42 clinical coronary CTA datasets acquired with 64-slice CT using isotropic voxels of 0.3-0.5 mm. Results:The median processing time was 6.4min, and 100% of main branches (right coronary artery, left circumflex artery and left anterior descending artery) and 86.9% (219/252) of visible minor branches were intact. Visually correct centerlines were obtained automatically in 94.7%(321/339) of the intact branches. Conclusion:The new software is a promising tool for coronary CTA post-processing providing good overviews of the coronary artery with limited user interaction on low-end hardware, and the coronary CTA diagnosis procedure could potentially be more time-efficient than using thin-slab technique.

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Section: Discussionmentioning

confidence: 99%

An interactive software module for visualizing coronary arteries in CT angiography

2008

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“…Another approach for artery/vein segmentation is based on different types of connectivity algorithms (13)(14)(15)(17)(18)(19)22), which utilizes a high-resolution dataset to segment out the arteries and veins. It exploits the geometrical characteristics of the arterial and venous vessel trees, comparing the brightness of every voxel with its neighbors and thus deciding whether they belong to the same structure or not.…”

Section: Discussionmentioning

confidence: 99%

“…Let R artery [12] where T ⅐ R artery Ќ is unknown. By taking the inner product with R vein on both sides, we get: [13] Considering that R vein has unit norm in the ͑R artery ,R artery Ќ ͒ coordinate system, it is possible to calculate:…”

Section: Derivation Of the Coordinate Transformation Formula Given Bymentioning

confidence: 99%

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Double‐reference cross‐correlation algorithm for separation of the arteries and veins from 3D MRA time series

Santini

Patil

Meckel

et al. 2008

Magnetic Resonance Imaging

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Purpose: To present a novel postprocessing technique for artery/vein separation and background suppression from contrast-enhanced time-resolved magnetic resonance angiography datasets in order to improve the diagnosis of vessel pathologies and arteriovenous fistulas. Materials and Methods:Ten normal, two pathologic datasets of the brain, and one hand angiography dataset were postprocessed. Cross-correlation maps between the signal time course of every voxel in the dataset and selected arterial and venous references regions of interest (ROIs) were obtained; these maps were subsequently nonlinearly transformed to obtain two indices representing the likelihood of a voxel belonging to a vessel category. Red-green-blue (RGB) color encoding was utilized to depict synthetic arteriogram and venogram images in a single diagnostically meaningful image. Results:The technique enabled correct visual separation of vessels on various datasets, as evaluated by two expert neuroradiologists, and also highlighted characteristics of flow in arteriovenous fistulas. A quantitative comparison with existing techniques showed better separation performance on 3 out of 10 normal datasets and higher stability to acquisition characteristics and contrast agent bolus dispersion. Conclusion:This method can be helpful in the diagnosis of vascular diseases in subjects where bolus dispersion makes it difficult to discriminate between arteries and veins with standard methods (subtraction or correlation analysis).

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“…22 A software package called 3DVIEWNIX-AVS for artery-vein separation was developed to improve the vascular visualization of contrast-enhanced MRA images. 24 Although the above strategies have been successfully applied in 3-D MRA images, most of them, such as the phase-contrast and time-resolved acquisition approaches, may be unsuitable to apply to on 2-D optical imaging data because of their specificity related to MRA.…”

Section: Introductionmentioning

confidence: 99%

Separation of arteries and veins in the cerebral cortex using physiological oscillations by optical imaging of intrinsic signal

Wang

Liu

et al. 2010

J. Biomed. Opt.

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Abstract. An automated method is presented for artery-vein separation in cerebral cortical images recorded with optical imaging of the intrinsic signal. The vessel-type separation method is based on the fact that the spectral distribution of intrinsic physiological oscillations varies from arterial regions to venous regions. In arterial regions, the spectral power is higher in the heartbeat frequency ͑HF͒, whereas in venous regions, the spectral power is higher in the respiration frequency ͑RF͒. The separation method was begun by extracting the vascular network and its centerline. Then the spectra of the optical intrinsic signals were estimated by the multitaper method. A standard F-test was performed on each discrete frequency point to test the statistical significance at the given level. Four periodic physiological oscillations were examined: HF, RF, and two other eigenfrequencies termed F1 and F2. The separation of arteries and veins was implemented with the fuzzy c-means clustering method and the region-growing approach by utilizing the spectral amplitudes and power-ratio values of the four eigenfrequencies on the vasculature. Subsequently, independent spectral distributions in the arteries, veins, and capillary bed were estimated for comparison, which showed that the spectral distributions of the intrinsic signals were very distinct between the arterial and venous regions.

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3DVIEWNIX-AVS: a software package for the separate visualization of arteries and veins in CE-MRA images

Cited by 11 publications

References 28 publications

An interactive software module for visualizing coronary arteries in CT angiography

An interactive software module for visualizing coronary arteries in CT angiography

Double‐reference cross‐correlation algorithm for separation of the arteries and veins from 3D MRA time series

Separation of arteries and veins in the cerebral cortex using physiological oscillations by optical imaging of intrinsic signal

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