Computer system for four-dimensional transesophageal echocardiographic image reconstruction

Duann, Jeng Ren; Lin, S.-B.; Hu, Wei; Su, Jenn Lung

doi:10.1016/s0895-6111(99)00016-6

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…Modern imaging technologies can very quickly acquire huge amounts of data. Not exhaustive examples of such technologies in the medical area are dynamic magnetic resonance [1], magnetic resonance fingerprinting [2], multienergy 3D x-ray computed tomography (CT) [3], echocardiography [4], and, in industrial applications, 3D ultrasound and x-ray CT.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear conjugate gradient method for spectral tomosynthesis

2019

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Image reconstruction in spectral digital breast tomosynthesis requires solving a large-scale nonlinear inverse problem. Most numerical approaches on real data used a simplified linear (and hence incorrect) mathematical model to reduce the computational costs. The aim of this paper is to consider the use of a nonlinear conjugate gradient method for very large-scale nonlinear least squares problems, and apply it to spectral digital breast tomosynthesis. Numerical experiments on 3dimensional phantom images illustrate the effectiveness and efficiency of the proposed scheme.

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Section: Introductionmentioning

confidence: 99%

Nonlinear conjugate gradient method for spectral tomosynthesis

2019

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“…10 More and more often, a medical diagnosis is based on image material of up to four{dimensions. 11 So far, no coherent model exists to represent and segment spatial objects that additionally move and change shape over a period of time under observation.…”

Section: Introductionmentioning

confidence: 99%

<title>General finite element model for segmentation in 2, 3, and 4 dimensions</title>

Bredno

Spitzer

2000

SPIE Proceedings

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Medical imaging modalities often provide image material in more than two dimensions. However, the analysis of voxel data sets or image sequences is usually performed using only two{dimensional methods. Furthermore, four{dimensional medical image material (sequences of stacks of images) is available already for clinical diagnoses. Contrarily, four{dimensional image processing methods are almost unknown. We present an active contour model based on balloon models that allows a coherent segmentation of image material of any desired dimension. Our model is based on linear nite elements and combines a shape representation with an iterative segmentation algorithm. Additionally, we present a novel de nition for the computation of external in uences to deform the model. The appearance of relevant edges in the image is de ned by image potentials and a lter kernel function. The lter kernel is applied with respect to the location and orientation of nite elements. The model moves under the in uence of internal and external forces and avoids collisions of nite elements in this movement. Exemplarily, we present segmentation results in 2D (radiographs), 3D (video sequence of the mouth), and 4D (synthetic image material) and compare our results with propagation methods. The new formalism for external in uences allows the model to act on greylevel as well as color images without pre{ ltering.

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“…4D was later introduced, and it used crystal rotation to acquire the necessary images, which were then interlaced to form a 3D image. 7 This process was hampered by movement of the probe as a result of the cardiac cycle, the respiratory cycle, and the operator. Acquisitions could take as long as 5 to 10 minutes.…”

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confidence: 99%

The Use of Ultrasound to Guide Interventions: From Bench to Bedside and Back Again

Bainbridge

2010

Semin Cardiothorac Vasc Anesth

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The ultrasound machine was originally devised as a diagnostic tool to help evaluate heart structure and function. With recent advances in ultrasound, including live 3D ultrasound, its potential to guide interventions within the heart has increasingly been recognized. Cardiologists have adapted this technology and have now published guidelines on the use of ultrasound to guide interventional procedures. Anesthesiologists have also used ultrasound with much success in cardiac operating rooms (ORs) to guide cannula placement and, to a limited extent, interventions. The focus of this article is a review of the author's work on ultrasound and virtual reality-guided cardiac interventions, both in the research laboratory and in the OR.

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Computer system for four-dimensional transesophageal echocardiographic image reconstruction

Cited by 9 publications

References 11 publications

Nonlinear conjugate gradient method for spectral tomosynthesis

Nonlinear conjugate gradient method for spectral tomosynthesis

<title>General finite element model for segmentation in 2, 3, and 4 dimensions</title>

The Use of Ultrasound to Guide Interventions: From Bench to Bedside and Back Again

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