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Breast cancer is the most common category of cancers in woman around the world. Ultrasonography imaging modalities (US) are highly recommended for breast cancer examining due to their sensitivity, specificity, cost-effective, accessibility, portability, comfort, as well as non-invasive tool. In addition, an integration of a conventional US and its adjunct modalities which is Power Doppler has been...
Ultrasound machines are undergoing intense research and rapid development in the world of medical imaging. Ultrasound machines with different technical specifications produce different qualities of ultrasound images. As the analysis and interpretation of ultrasound machines depend on the expertise of sonographers and physicians, human errors and mistakes may occur. The objective of this research is...
The manual outlining of hepatic metastasis in (US) ultrasound acquisitions from patients suffering from pancreatic cancer is common practice. However, such pure manual measurements are often very time consuming, and the results repeatedly differ between the raters. In this contribution, we study the in-depth assessment of an interactive graph-based approach for the segmentation for pancreatic metastasis...
Ultrasound image is one of the modalities that is widely used to examine the abnormality of thyroid gland since it is relatively low-cost and safety. Fine needle aspiration biopsy (FNAB) is usually used by radiologists to determine the thyroid nodule whether malignant or benign. Commonly, malignancy of thyroid nodule determined based on shape feature. This research proposes a scheme for classifying...
The segmentation of media-adventitia and lumen-intima boundaries of the Carotid Artery forms an essential part in assessing plaque morphology in Ultrasound Imaging. Manual methods are tedious and prone to variability and thus, developing automated segmentation algorithms is preferable. In this paper, we propose to use deep convolutional networks for automated segmentation of the media-adventitia boundary...
Endometrium assessment via thickness measurement is commonly performed in routine gynecological ultrasound examination for assessing the reproductive health of patients undergoing fertility related treatments and endometrium cancer screening in women with post-menopausal bleeding. This paper introduces a fully automated technique for endometrium thickness measurement from three-dimensional transvaginal...
Developmental dysplasia of the hip (DDH) is a congenital deformity occurring in ∼3% of infants. If diagnosed early most cases of DDH can be effectively treated using a Pavlik harness. However, current diagnosis of DDH using 2D ultrasound is and can have high inter-operator variability. In this paper we propose a method to automatically segment the acetabulum bone and derive geometric indices of hip...
Placental volume measured with 3D ultrasound in the first trimester has been shown to be correlated to adverse pregnancy outcomes. This could potentially be used as a screening test to predict the “at risk” pregnancy. However, manual segmentation whilst previously shown to be accurate and repeatable is very time consuming and semi-automated methods still require operator input. To generate a screening...
This study focuses on using ultrasound (US) biomarkers for characterizing myopathies and in particular myositis. US offers an opportunity to deliver diagnostics in clinical settings at a fraction of the cost and discomfort entailed in current workflows. US is also better suited for usage in under-resourced environments. This paper is focused on studying the link between biomarkers related to absolute...
The most sophisticated imaging for disease diagnosis used in medical from last few decades is ultrasound imaging, as they give us the appropriate motion of organ movement. In this paper, we propose an ultrasound based system to monitor respiratory signal of asthma via detection of diaphragm movement. Here we use Chan-Vese algorithm, which can segment the diaphragm area from ultrasound image sequences...
Breast cancer is one of the main causes of women mortality worldwide. Ultrasonography (USG) is other modalities than mammography that capable to support radiologists in diagnosing breast cancer. However, the diagnosis may come with different interpretation depending on the radiologists experience. Therefore, Computer-Aided Diagnosis (CAD) is developed as a tool for radiologist's second opinion. CAD...
Ultrasonography (USG) is a popular imaging modality because of its flexibility, non-invasion, non-ionisation and low cost. A breast ultrasound used to detect and classify abnormalities of the breast mass. However, the diagnosis is very subjective because it depends on the ability of the radiologist. In order to eliminate operator dependency and to improve the diagnostic accuracy, a computerised system...
In clinical diagnosis of liver cancer or treatment using US image guided navigation often required correlation of suspicious region in US with the clinical findings on CT or MR images. We proposed a faster automated registration technique consists of two-steps registration framework which contains vessel structure-based coarse registration and gradient feature-based fine registration. Results were...
In our study, Developmental Dysplasia of the Hip (DDH) is intended to automatically segmenting the ultrasound images for diagnosis. Initially, a filter is applied to the raw images. Seven different filters (Mean, Median, Gaussian, Wiener, Perona & Malik, Lee and Frost) are applied to the images and finally the output images are evaluated. Filtered DDH images were segmented and results are evaluated...
Contrast Enhanced Ultrasound has shown great potential in detecting vulnerable atherosclerotic plaques, but an effective motion correction crucial for identifying relevant plaque features is still lacking. In this article, a semi-automated algorithm capable of non-rigidly registering contrast enhanced ultrasound scans of the carotid artery is proposed, employing information about the lumen and its...
Three-dimensional (3D) quantitative-ultrasound (QUS) methods were recently developed and successfully applied to detect cancerous regions in freshly-dissected lymph nodes (LNs). The 3D high frequency ultrasound (HFU) images obtained from these LNs contain three different parts: LN-parenchyma (LNP), fat, and phosphate-buffered saline (PBS). To apply QUS estimates inside the LNP region, an automatic...
Clinical Decision Support (CDS) aids in early diagnosis of liver cancer, a potentially fatal disease prevalent in both developed and developing countries. Our research aims to develop a robust and intelligent clinical decision support framework for disease management of cancer based on legacy Ultrasound (US) image data collected during various stages of liver cancer. The proposed intelligent CDS framework...
Rupture of atherosclerotic plaques is the key factor leading to ischemic stroke. In conventional ultrasound, B-mode imaging and/or color flow/pulsed wave Doppler can be used to evaluate the stenosis of blood vessels but not the vulnerability of plaques. In this paper, we propose an ultrasound strain rate imaging based indicator called mean maximum strain rate (MMSR) to evaluate the vulnerability of...
This paper presents a new segmentation method for 3D ultrasound images of the pediatric kidney. Based on the popular active shape models, the algorithm is tailored to deal with the particular challenges raised by US images. First, a weighted statistical shape model allows to compensate the image variation with the propagation direction of the US wavefront. Second, an orientation correction approach...
In this paper we present an automatic method for ultrasound-based early detection of pregnancy in pigs, which is a crucial information for commercial pig farming. We employ a strategy of region-based classification within multiple segmentation hierarchies which is able to efficiently find target structures in a large set of possible segmentations. Furthermore, we present a novel set of border features,...
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