Using marker-controlled watershed transform to detect Baker's cyst in magnetic resonance imaging images: A pilot study

Ghaderi, Sadegh; Ghaderi, Kayvan; Ghaznavi, Hamid

doi:10.4103/jmss.jmss_49_20

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…Magnetic resonance imaging (MRI) is one of the most crucial, extensively utilized, and powerful imaging modalities that ofer numerous advantages, such as high spatial resolution, unrestricted tissue depth penetration, multiplanar imaging, and soft tissue functionality [13][14][15]. MRI has been used in various medical aspects and biomedical applications, including diagnosis, therapy, follow-up, and treatment assessment; cancer imaging; infammation detection and perfusion imaging; and targeted MRI-guided drug delivery, among others.…”

Section: Introductionmentioning

confidence: 99%

Post-COVID-19 Vaccination CNS Magnetic Resonance Imaging Findings: A Systematic Review

Ghaderi

Mohammadi

Heidari

et al. 2023

Canadian Journal of Infectious Diseases and Medical Microbiolog

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Objective. This systematic review aims to synthesize and analyze the available literature on central nervous system (CNS) magnetic resonance imaging (MRI) findings in individuals who have received COVID-19 vaccinations. Our objective is to enhance understanding of potential neurological side effects, inform clinical practice, and guide future research on the neurological implications of COVID-19 vaccination. Methods. In this systematic review, we conducted a comprehensive search in PubMed, Scopus, and Web of Science from January 2020 to April 2023, using terms related to COVID-19 vaccination and CNS MRI findings. We evaluated the quality of the study, extracted relevant data, and included 89 eligible studies that covered various vaccines, demographics of patients, symptoms, and MRI findings to provide a thorough understanding of SARS-CoV-2 vaccination-related CNS problems. Results. We investigated CNS MRI findings following COVID-19 vaccination across various vaccine types. Common diseases associated with post-vaccination CNS MRI findings included cerebral venous sinus thrombosis (CVST), vaccine-induced immune thrombotic thrombocytopenia (VITT), acute disseminated encephalomyelitis (ADEM), acute myelitis, autoimmune encephalitis (AE), and others. Patients presented with diverse onset symptoms and neurological manifestations. Abnormalities identified in CNS MRI findings included white matter (WM) hyperintensity. Our analysis offers a comprehensive overview of the current literature on post-vaccination CNS MRI findings. Discussion. We highlight a range of post-COVID-19 vaccination CNS MRI findings, including CVST, with a higher incidence in individuals receiving the ChAdOx1 (AstraZeneca) vaccine. Other notable observations include cases of ADEM, myelitis or transverse myelitis (TM), Guillain–Barré syndrome (GBS), and acute encephalopathy following COVID-19 vaccination. The incidence of these neurological complications is extremely rare, and the benefits of vaccination outweigh the risks. The reviewed studies were primarily case reports or case series, and thus large-scale epidemiological studies and controlled clinical trials are needed to better understand the underlying mechanisms and risk factors associated with these neurological complications following COVID-19 vaccination.

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Section: Introductionmentioning

confidence: 99%

Post-COVID-19 Vaccination CNS Magnetic Resonance Imaging Findings: A Systematic Review

Ghaderi

Mohammadi

Heidari

et al. 2023

Canadian Journal of Infectious Diseases and Medical Microbiolog

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“…[10][11][12][13][14][15] The high signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), spatial resolution, contrast resolution and the abundance of MRI sequences available to define intracranial lesions allow MRI to give more detailed, localisation and characterisation of BMs. 16,17 To be more specific, T1-weighted (T1-w) and T2-weighted (T2-w) sequences outline the morphologic and anatomical de-alignment of tissue brought about by the tumour. 18 The purpose of this systematic review was to document the utility of reported MRI techniques in imaging BC, as well as the MRI and clinical features of BMs from BC to aid in the diagnosis and treatment of similar individuals in the future.…”

Section: Introductionmentioning

confidence: 99%

“…Computed tomography (CT) scans and magnetic resonance imaging (MRI) scans are the most common imaging techniques used to diagnose brain malignancies 10–15 . The high signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), spatial resolution, contrast resolution and the abundance of MRI sequences available to define intracranial lesions allow MRI to give more detailed, localisation and characterisation of BMs 16,17 . To be more specific, T1‐weighted (T1‐w) and T2‐weighted (T2‐w) sequences outline the morphologic and anatomical de‐alignment of tissue brought about by the tumour 18 …”

Section: Introductionmentioning

confidence: 99%

Brain metastases from breast cancer using magnetic resonance imaging: A systematic review

Mohammadi,

Hadizadeh

et al. 2023

J of Medical Radiation Sci

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Despite improvements in imaging and treatment approaches, brain metastases (BMs) continue to be the primary cause of mortality and morbidity in about 20% of adult cancer patients. This research aimed to review the magnetic resonance imaging (MRI) and clinical characteristics of BMs resulting from breast cancer (BC). A systematic review of original research articles published from January 2000 to June 2023. We selected studies that reported MRI findings of BMs in BC patients. We excluded reviews, case reports, books/book chapters, animal studies and irrelevant records. We identified 24 studies that included 1580 BC patients with BMs. T1‐weighted (T1‐w) (pre‐ and postcontrast), T2‐weighted (T2‐w), fluid‐attenuated inversion recovery (FLAIR) and T2*‐weighted (T2*‐w) was used to measure the lesion size, shape and area. In other studies, advanced structural techniques including diffusion‐weighted imaging (DWI), diffusion tensor imaging (DTI) and susceptibility‐weighted imaging (SWI) were used to more precisely and sensitively evaluate the pathological area. Furthermore, functional and metabolic techniques like functional MRI (fMRI), magnetic resonance spectroscopy (MRS) and perfusion‐weighted imaging (PWI) have also been utilised. The MRI findings of BMs varied depending on the MRI technique, the BC subtype, the lesion size and shape, the presence of haemorrhage or necrosis and the comparison with other brain tumours. Some MRI findings were associated with prognosis, recurrence or cognitive impairment in BC patients with BMs. MRI detects, characterises and monitors BMs from BC. Findings vary by MRI technique, BC subtype, lesion characteristics and comparison with other brain tumours. More research should validate emerging MRI techniques, determine the clinical implications of findings and explore the underlying mechanisms and biology of BMs from BC. MRI is a valuable tool for diagnosis, targeted therapy and studying BC metastasis.

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“…Magnetic resonance imaging (MRI) is a noninvasive and novel imaging modality [4][5][6]. The use of contrast agents (CAs) in MRI is offered to enhance image contrast as well as the identification of diseased cells [7].…”

Section: Introductionmentioning

confidence: 99%

Fractal Dimension Image Processing for Feature Extraction and Morphological Analysis: Gd3+/13X/DOX/FA MRI Nanocomposite

Ghaderi

2023

Journal of Nanomaterials

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One of the most fundamental subjects in nanoscience and nanotechnology is structural analysis. We employed a scanning electron microscope (SEM) image of the manufactured Gd3+/13X/DOX/FA nanocomposite in this study. The size, dimensions, and morphology of nanocomposite materials were studied to ensure the uniformity and homogeneity of SEM images. This is the first study to look at segmented SEM images for fractal dimension (FD) and other statistical criteria, including average, maximum, minimum, skewness, and range for magnetic resonance imaging (MRI) nanocomposite. The average of FD (FDavg), the standard deviation of FD (FDsd), and the lacunarity of FD (FDlac) fractal data analysis criteria were also employed. The findings show that particle sizes and shapes vary because the minimum-to-maximum range is not zero, and our data provide a reasonable range. This interpretation is further supported by an analysis of the nanocomposite’s SEM image. At first glance, the image seemed to be uniform. However, when the calculations were performed, it was discovered that the generated particles were not particularly uniform. The particles were uniformly dispersed throughout all surfaces, although their sizes, dimensions, and morphologies varied. In conclusion, the study was supported by fractal data analysis, emphasizing the importance of structural analysis for future research, particularly for medical applications like MRI.

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Using marker-controlled watershed transform to detect Baker's cyst in magnetic resonance imaging images: A pilot study

Cited by 7 publications

References 15 publications

Post-COVID-19 Vaccination CNS Magnetic Resonance Imaging Findings: A Systematic Review

Post-COVID-19 Vaccination CNS Magnetic Resonance Imaging Findings: A Systematic Review

Brain metastases from breast cancer using magnetic resonance imaging: A systematic review

Fractal Dimension Image Processing for Feature Extraction and Morphological Analysis: Gd3+/13X/DOX/FA MRI Nanocomposite

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