Automatic segmentation and 3D reconstruction of intravascular ultrasound images for a fast preliminar evaluation of vessel pathologies

Sanz-Requena, Roberto; Moratal, David; Garcia-Sanchez, D.R.; Bodı́, Vicente; Rieta, J.J.; Sanchis, Juan

doi:10.1016/j.compmedimag.2006.11.004

Cited by 57 publications

(32 citation statements)

References 6 publications

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“…The primary interest in the past efforts to develop 3D IVUS imaging techniques has been focused on precise detection of the arterial wall borders and visualization of 3D realistic smooth surface reconstruction of the arterial borders [5,6], greatly benefitting identification of coronary blood flow dynamics combined with computational fluid dynamics (CFD) approaches [7]. However, grayscale intensity information inside the arterial wall is often neglected in these 3D IVUS imaging techniques while providing excellent 3D surface rendering.…”

Section: Discussionmentioning

confidence: 99%

Determination of Plaque Distribution in Intravascular Ultrasound Imaging: Visualization of an Unfolded Artery

Choi¹,

McPherson²,

Kim³

2017

dtcse

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Abstract.A novel three-dimensional intravascular ultrasound (3D IVUS) reconstruction algorithm was developed to provide volumetric 3D visualization of plaque distribution across an unfolded artery. An arterial phantom was utilized to validate the nonlinear interpolation technique to generate intermediary IVUS images. Following the intermediary IVUS image generation, volumetric 3D IVUS visualization was performed. Smooth transitional changes in shape and grayscale were found between the intermediary and original slices. Volumetric 3D IVUS visualization of the unfolded curved artery provided realistic luminal surface images with physiologic grayscale information. This novel 3D IVUS visualization strategy has the potential to help with assessment of 3D plaque distribution across the curved arterial structure.

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Section: Discussionmentioning

confidence: 99%

Determination of Plaque Distribution in Intravascular Ultrasound Imaging: Visualization of an Unfolded Artery

Choi¹,

McPherson²,

Kim³

2017

dtcse

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“…Different approaches have been described to detect the luminal and external elastic membrane borders from 2-D IVUS images, including texture-based methods (Papadogiorgaki et al, 2007), knowledge-based graph searching (Bovenkamp et al, 2009), region growing (Sanz-Requena et al, 2007), radial gradient searching (Luo et al, 2003), and active contours (Sanz-Requena et al, 2007;Takagi et al, 2000). These 2-D border-detection techniques are now used online in newer IVUS imaging consoles, allowing the quantitative evaluation of lumen and plaque measurements.…”

Section: Automated 2-d/3-d Border-detection Methodsmentioning

confidence: 99%

“…This provides the accurate discrimination of image artifacts and true border locations but this analysis requires the border detection in hundreds of images. Therefore, the use of automated imageprocessing techniques allows fast online analysis (Sanz-Requena et al, 2007).…”

Section: Data Processing and Analysismentioning

confidence: 99%

Non-Coronary Vessel Exploration Under Intravascular Ultrasound: Principles and Applicability

Rochefort¹

2012

Intravascular Ultrasound

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“…The median filter is particularly good at removing outliers and is edge-preserving [25], in IVUS image analysis the median filter was usually used in preprocessing of the image [4], in [26], the median filter was used for filtering the initial contour.…”

Section: Introductionmentioning

confidence: 99%

“…IVUS used along with X-ray coronary angiography to detect vessel pathologies [4]. In the IV, vessel is characterized by two distinct borders: the lumen border which corresponds the lumen -wall interface, and the mediaadventitia border which represents the boundary between the media and adventitia [5].…”

Section: Introductionmentioning

confidence: 99%

An Automatic Segmentation for Determination of IV Vessel Boundaries

Tayel¹,

Massoud²,

Shehata³

2014

IJBBB

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Abstract-Coronary heart disease ranks as the top disease which causes the death in the Egypt. Intravascular (IV) ultrasound imaging is used along with X-ray coronary angiography to detect vessel pathologies. This paper introduces three automated approaches for detection of lumen and media-adventitia borders in IV images. In the first method, a 2D median filter is used to initialize the lumen and media-adventitia contours. The second method uses the Lucy-Richardson method and the 2D median filter to determine the lumen border. Method three is a combination of two methods to combine their advantages. The catheter boundaries were automatically determined. This method shows a higher accuracy and ability to work under artifacts and noisy conditions.

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Automatic segmentation and 3D reconstruction of intravascular ultrasound images for a fast preliminar evaluation of vessel pathologies

Cited by 57 publications

References 6 publications

Determination of Plaque Distribution in Intravascular Ultrasound Imaging: Visualization of an Unfolded Artery

Determination of Plaque Distribution in Intravascular Ultrasound Imaging: Visualization of an Unfolded Artery

Non-Coronary Vessel Exploration Under Intravascular Ultrasound: Principles and Applicability

An Automatic Segmentation for Determination of IV Vessel Boundaries

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