A homomorphic non-subsampled contourlet transform based ultrasound image despeckling by novel thresholding function and self-organizing map

Singh, Prabhishek; Diwakar, Manoj; Singh, Shilpi; Kumar, Sarvesh; Tripathi, Amrendra; Shankar, Achyut

doi:10.1016/j.bbe.2022.03.003

Cited by 9 publications

(3 citation statements)

References 71 publications

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“…Much research has been completed in this field to remove speckle noise while preserving medical information in the image. The ultrasound devices which were used in the current study have this technology, so that we can acquire clear US and SWE images, and a successful sonographic imaging and study [ 27 , 28 , 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

Can Shear Wave Elastography Help Differentiate Acute Tonsillitis from Normal Tonsils in Pediatric Patients: A Prospective Preliminary Study

Ece

Aydın

2023

Children

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Shear wave elastography (SWE) is a non-invasive imaging technique used to quantify the elasticity/stiffness of any tissue. There are normative SWE studies on tonsils in healthy children in the literature. The purpose of this study is to analyze the palatine tonsils in children with acute tonsillitis using ultrasound and SWE. In this prospective study, pediatric patients aged 4–18 years diagnosed with acute tonsillitis and healthy children were included. Those with antibiotic use, chronic tonsillitis, adenoid hypertrophy, and having chronic disease, immunodeficiency, and autoimmune disease, or any rheumatological disease were excluded. The volume and elasticity of palatine tonsil were measured via ultrasound and SWE. The study included 81 (46 female, 35 male) acute tonsillitis patients, and 63 (38 female, 25 male) healthy children between the ages of 4 and 18. Elasticity (kPa) values of tonsils were found significantly higher in the tonsillitis group (SWE-R: 25.39 ± 4.64, SWE-L: 25.01 ± 4.17) compared to the normal group (SWE-R: 9.71 ± 2.37, SWE-L: 9.39 ± 2.19) (p < 0.001). In the tonsillitis group, a significant positive correlation was found between tonsil volume and elasticity (r: 0.774, p: 0.002). In conclusion, in pediatric patients with acute tonsillitis, higher kPa values were obtained with SWE in the palatine tonsils.

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Section: Discussionmentioning

confidence: 99%

Can Shear Wave Elastography Help Differentiate Acute Tonsillitis from Normal Tonsils in Pediatric Patients: A Prospective Preliminary Study

Ece

Aydın

2023

Children

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“…NSCT‐based ultrasound image speckle reduction technique is proposed by the authors in article Ref. 22 The authors have used a unique thresholding function, bilateral filter, and self‐organizing map (SOM) as a hybrid approach. The bilateral filter is performed over the NSCT low‐pass sub‐band to remove speckle components to preserve the sharp features.…”

Section: Literature Surveymentioning

confidence: 99%

“…Based on Ref. 22 this research paper suggests a two‐step homomorphic despeckling technique. The first step is to use an iterative‐based weighted total variation, and the second step is to use method noise thresholding with bivariate thresholding in the NSCT domain.…”

Section: Introductionmentioning

confidence: 99%

Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform

Singh

Diwakar

2023

Int J Imaging Syst Tech

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Medical diagnostics rely heavily on ultrasound imaging since it is non-invasive, inexpensive, and able to provide images in real time. However, the inherent existence of a kind of signal-dependent noise in these images diminishes the use of ultrasound imaging systems. Speckle noise is inherently present in ultrasound images. Its inherent presence occurs during the image acquisition phase. It decreases the diagnostic usefulness of this imaging modality since it interferes with and reduces the image resolution and contrast. Speckle noise is multiplicative in nature. This multiplicative nature of speckle noise causes adverse effects on ultrasound imaging because it distorts the image quality and causes a loss of the patient's informative content in ultrasound imaging. This causes difficulty in tissue characterization. A lot of research has been done in this field to remove speckle noise while preserving medical information in the image. To handle this issue, research has been grouped into multiple domains. The two main domains include homomorphic and non-homomorphic filtering. The homomorphic filtering uses a logarithmic transform that converts this multiplicative nature into an additive nature and uses any additive image restoration model to do a despeckling task. Non-homomorphic filtering encompasses all methods that do not employ a logarithmic transform. Since the presence of speckle noise in ultrasound imaging is an inherent property. Therefore, the despeckling of medical ultrasound images is a mandatory task that cannot be avoided or ignored. This paper proposes a two-step hybrid and homomorphic despeckling technique, where modified total variation method is applied as step one for speckle reduction purposes. Step two implements method of noise thresholding in the non-subsampled contourlet transform (NSCT) domain using the bivariate shrinkage rule for edge preservation. The effectiveness and reliability of the proposed method are tested by comparing it with some of the latest methods based on qualitative and quantitative analyses. This paper will help the new researchers understand various problems and their solutions related to ultrasound image despeckling.

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Speckle noise removal in medical ultrasonic image using spatial filters and DnCNN

Kavand,

Bekrani

2023

Multimed Tools Appl

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A homomorphic non-subsampled contourlet transform based ultrasound image despeckling by novel thresholding function and self-organizing map

Cited by 9 publications

References 71 publications

Can Shear Wave Elastography Help Differentiate Acute Tonsillitis from Normal Tonsils in Pediatric Patients: A Prospective Preliminary Study

Can Shear Wave Elastography Help Differentiate Acute Tonsillitis from Normal Tonsils in Pediatric Patients: A Prospective Preliminary Study

Total variation‐based ultrasound image despeckling using method noise thresholding in non‐subsampled contourlet transform

Speckle noise removal in medical ultrasonic image using spatial filters and DnCNN

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