A digital viscoelastic liver phantom for investigation of elastographic measurements

Pasyar, Pezhman; Masjoodi, Sadegh; Montazeriani, Zahra; Makkiabadi, Bahador

doi:10.1016/j.compbiomed.2020.104078

Cited by 10 publications

(8 citation statements)

References 43 publications

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“…Lubis et al [22] Establishing an adequate correspondence between images of classic angiographic computed tomography and rotational angiography (CT) Pezhman et al [23] Determining factors involved in liver elastography studies (CT) Shepp et al [24] Image reconstruction (MRI b ) Koay et al [25] Image reconstruction (MRI) Collins et al [26] Filtering techniques validation (MRI)…”

Section: Referencesmentioning

confidence: 99%

Description and Use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images

Vera

Bravo

Medina

2022

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The World Health Organization indicates the top cause of death is heart disease. These diseases can be detected using several imaging modalities, especially cardiac computed tomography (CT), whose images have imperfections associated with noise and certain artifacts. To minimize the impact of these imperfections on the quality of the CT images, several researchers have developed digital image processing techniques (DPIT) by which the quality is evaluated considering several metrics and databases (DB), both real and simulated. This article describes the processes that made it possible to generate and utilize six three-dimensional synthetic cardiac DBs or voxels-based numerical phantoms. An exhaustive analysis of the most relevant features of images of the left ventricle, belonging to a real CT DB of the human heart, was performed. These features are recreated in the synthetic DBs, generating a reference phantom or ground truth free of imperfections (DB1) and five phantoms, in which Poisson noise (DB2), stair-step artifact (DB3), streak artifact (DB4), both artifacts (DB5) and all imperfections (DB6) are incorporated. These DBs can be used to determine the performance of DPIT, aimed at decreasing the effect of these imperfections on the quality of cardiac images.

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Section: Referencesmentioning

confidence: 99%

Description and Use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images

Vera

Bravo

Medina

2022

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“…Furthermore, previously conducted studies have provided a medical imaging modality called elastography, which can map the elastic properties and stiffness of soft tissues. 5,6 However, palpation is limited to distinguishing only the tissue regions with different stiffness, while the identification of specific tissue types is inaccurate. 7 Although imaging techniques such as X-ray, Computer Tomography (CT), and Ultrasonic Imaging (US) are widely used for the detection of lesions.…”

Section: Introductionmentioning

confidence: 99%

Piezoresistivity modeling of soft tissue electrical-mechanical properties: A validation study

Guo

et al. 2023

Proc Inst Mech Eng H

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In general, the electrical property of soft tissues is sensitive to the force applied to their surface. To further study the relationship between the force and the electrical property of soft tissues, this paper attempts to investigate the effect of static and higher-order stresses on electrical properties. Overall, a practical experimental platform is designed to acquire the force information and the electrical property of soft tissues during a contact procedure, which is featured different compression stimuli, such as constant pressing force, constant pressing speed, and step-force compression, etc. Furthermore, the piezoresistive characteristic is innovatively introduced to model the mechanical-electrical properties of soft tissue. Finite Element Modeling (FEM) is adopted to fit the static piezoresistivity of the soft tissue. Finally, experimental studies were performed to demonstrate the effect of stress on the electrical properties and the feasibility of the proposed piezoresistive model to describe soft tissues’ mechanical and electrical properties.

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“…HANTOMS ARE artificial tissues that are used as an alternative to human tissue and that allow the diagnosis of disease to be made non-contact without taking samples from patients. Phantoms are used for many different purposes in the medical sense such as identification of cancerous cells or detection of tissue changes in organs, examination of vascular structures, and so on [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…It has more structural stability in a longer period than the other tissue-mimicking phantom methods [7]. On the other hand, the phantom models as commercial rigid plastics, polyurethane gel, gelatin-alginate, elastomeric (rubber-like) materials, and so on have been formed so far [1,8,9].…”

Section: Introductionmentioning

confidence: 99%

Application of Binary Genetic Algorithm for Holographic Vascular Mimicking Phantom Reconstruction

Onur

Kaya

2022

Balkan Journal of Electrical and Computer Engineering

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She received her MSc and PhD degrees in Electrical-Electronics Engineering from Zonguldak Bülent Ecevit University in 2013 and 2019, respectively. Her interest fields are in the development of novel techniques and applications in digital holography, interferometry, microscopy, photonics, signal and image processing, data mining and machine learning. She has published papers in the field of optics, signal processing and machine learning applications. She is also an OSA member.

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A digital viscoelastic liver phantom for investigation of elastographic measurements

Cited by 10 publications

References 43 publications

Description and Use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images

Description and Use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images

Piezoresistivity modeling of soft tissue electrical-mechanical properties: A validation study

Application of Binary Genetic Algorithm for Holographic Vascular Mimicking Phantom Reconstruction

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