Comparison of different reconstruction algorithms for three‐dimensional ultrasound imaging in a neurosurgical setting

Miller, Dorothea; Lippert, Christoph; Vollmer, Fritz C.; Bozinov, Oliver; Benes, Ludwig; Schulte, Dirk Michael; Sure, Ulrich

doi:10.1002/rcs.1420

Cited by 17 publications

(6 citation statements)

References 42 publications

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“…Ultrasound frames suffer from many noises and artifacts, such as speckle noise, refraction, shadowing, reverberation, etc. [13].…”

Section: ) Data Pre-processingmentioning

confidence: 99%

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Medical B-Mode Ultrasound Imaging Reconstruction Algorithms: Evaluation and Simulation

Mohamed¹,

Ali²

2021

AJCT

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Ultrasound is one of the most important imaging modalities in medical practice. It is the most technique development with a lot benefits and with little challenges that include low imaging quality and high variability. Medical field is the most application that exploit the ultrasonic technique widely in body imaging, especially the real time Feature which take advantage of diagnostic time. This research makes a survey on the ultrasound image reconstruction and Display. First, the Ultrasound Imaging are reviewed as overall studying include the frequency ranges, advantages, main limitations, and applications. Second, the 2D or B-mode ultrasound imaging according to generation steps and mathematic studying are reviewed. Third, the stages of the 3D ultrasound object formation which is the data acquisition, data preprocessing, reconstruction method and 3D visualization, are discussed. Fourth, MATLAB Simulation to create B-Mode Ultrasound image with Synthetic phantom of a fetus in the third month of age, by using Field II software made specially for ultrasound environment, after initializing the ultrasound environment a phantom used to yield the B-Mode image. The complete B-Mode fetus scanned image creation need 5 hours and approximately 20 mins, that each line takes around 2min and 30 sec, with a processor 1.8 GHz Dual-Core Intel Core i5, MacOS. When the parameters of transducer have been changing then the clearness of the generated image the time taken will change in response.

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“…Ultrasound frames suffer from many noises and artifacts, such as speckle noise, refraction, shadowing, reverberation, etc. [13].…”

Section: ) Data Pre-processingmentioning

confidence: 99%

“…A mainly part of 3D Ultrasound imaging is 3D volume construction, and the main step is the determination of organization system configuration for the reconstructed volume (i.e., origin, dimension, and volume grid spacing) [13]. The simplest method is bounding box technique.…”

Section: ) 3d Volume Reconstructionmentioning

confidence: 99%

Medical B-Mode Ultrasound Imaging Reconstruction Algorithms: Evaluation and Simulation

Mohamed¹,

Ali²

2021

AJCT

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“…In general, the main purpose of these algorithms is to construct a 3-D US volume on a regular or irregular grid from a set of B-scans with minimum computational requirements and without damaging or losing the underlying shape of the data. Comparisons of these algorithms can be found in the literature (Miller et al 2012;Rohling et al 1999a;Solberg et al 2007;Wen et al 2015).…”

Section: Reconstructionmentioning

confidence: 99%

Freehand 3-D Ultrasound Imaging: A Systematic Review

Mozaffari

Lee

2017

Ultrasound in Medicine & Biology

108

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Two-dimensional ultrasound (US) imaging has been successfully used in clinical applications as a low-cost, portable and non-invasive image modality for more than three decades. Recent advances in computer science and technology illustrate the promise of the 3-D US modality as a medical imaging technique that is comparable to other prevalent modalities and that overcomes certain drawbacks of 2-D US. This systematic review covers freehand 3-D US imaging between 1970 and 2017, highlighting the current trends in research fields, the research methods, the main limitations, the leading researchers, standard assessment criteria and clinical applications. Freehand 3-D US systems are more prevalent in the academic environment, whereas in clinical applications and industrial research, most studies have focused on 3-D US transducers and improvement of hardware performance. This topic is still an interesting active area for researchers, and there remain many unsolved problems to be addressed.

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“…The slices can be acquired mechanically in a predetermined manner, or freehand wherein the user can manually position and orient the probe. It has also been reported that segmentation and classification based on 3D US has advantages compared to those based on 2D [16,17].…”

Section: Introductionmentioning

confidence: 96%

Image reconstruction under multiplicative speckle noise using total variation

Afonso

Sanches

2015

Neurocomputing

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a b s t r a c tIn this paper, we present a method for reconstructing images or volumes from a partial set of observations, under the Rayleigh distributed multiplicative noise model, which is the appropriate algebraic model in ultrasound (US) imaging. The proposed method performs a variable splitting to introduce an auxiliary variable to serve as the argument of the total variation (TV) regularizer term. Applying the Augmented Lagrangian framework and using an iterative alternating minimization method lead to simpler problems involving TV minimization with a least squares term. The resulting Gauss Seidel scheme is an instance of the Alternating Direction Method of Multipliers (ADMM) method for which convergence is guaranteed. Experimental results show that the proposed method achieves a lower reconstruction error than existing methods.

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Comparison of different reconstruction algorithms for three‐dimensional ultrasound imaging in a neurosurgical setting

Abstract: VNN2 and DW could be identified as robust algorithms that generate reconstructed US images with a high diagnostic value. These algorithms improve the utility and reliability of 3D-US imaging during intraoperative navigation.

Cited by 17 publications

References 42 publications

Medical B-Mode Ultrasound Imaging Reconstruction Algorithms: Evaluation and Simulation

Medical B-Mode Ultrasound Imaging Reconstruction Algorithms: Evaluation and Simulation

Freehand 3-D Ultrasound Imaging: A Systematic Review

Image reconstruction under multiplicative speckle noise using total variation

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