Computer-assisted analysis and 3D visualization of blood vessels based on cone-beam CT images

Kawata, Yoshiki; Niki, Noboru; Kumazaki, Tatsuo

doi:10.1007/3-540-60697-1_122

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Image-to-surface Definition Tools1

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2011

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Cited by 6 publications

(1 citation statement)

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“…have a skeleton of centrelines [9,10]. In a ÿrst step, these centrelines are extracted from the image.…”

Section: Image-to-surface Definition Toolsmentioning

confidence: 99%

Applications of patient‐specific CFD in medicine and life sciences

Löhner¹,

Cebral²,

Soto³

et al. 2003

Numerical Methods in Fluids

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SUMMARYRecent advances in medical image segmentation, grid generation, ow solvers, realistic boundary conditions, uid-structure interaction, data reduction and visualization arc reviewed with special emphasis on patient-speciÿc ow prediction. At the same time, present shortcomings in each one of these areas are identiÿed. Several examples are given that show that this methodology is maturing rapidly, and may soon ÿnd widespread use in medicine.

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“…have a skeleton of centrelines [9,10]. In a ÿrst step, these centrelines are extracted from the image.…”

Section: Image-to-surface Definition Toolsmentioning

confidence: 99%

Applications of patient‐specific CFD in medicine and life sciences

Löhner¹,

Cebral²,

Soto³

et al. 2003

Numerical Methods in Fluids

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show abstract

Parallel Patient-Specific Computational Haemodynamics

Cebral

Löhner

Choyke

et al. 2002

Lecture Notes in Computer Science

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Fast delineation and visualization of vessels in 3-D angiographic images

Wink

Niessen

Viergever

2000

IEEE Trans. Med. Imaging

176

101

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A method is presented which aids the clinician in obtaining quantitative measures and a three-dimensional (3-D) representation of vessels from 3-D angiographic data with a minimum of user interaction. Based on two user defined starting points, an iterative procedure tracks the central vessel axis. During the tracking process, the minimum diameter and a surface rendering of the vessels are computed, allowing for interactive inspection of the vasculature. Applications of the method to CTA, contrast enhanced (CE)-MRA and phase contrast (PC)-MRA images of the abdomen are shown. In all applications, a long stretch of vessels with varying width is tracked, delineated, and visualized, in less than 10 s on a standard clinical workstation.

show abstract

Computer-assisted analysis and 3D visualization of blood vessels based on cone-beam CT images

Cited by 6 publications

References 5 publications

Applications of patient‐specific CFD in medicine and life sciences

Applications of patient‐specific CFD in medicine and life sciences

Parallel Patient-Specific Computational Haemodynamics

Fast delineation and visualization of vessels in 3-D angiographic images

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