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This paper introduces a graph-based image segmentation method for detecting breast tumors in ultrasound images. The proposed segmentation algorithm based on the minimum spanning trees in a graph generated from an image, can automatically detect tumor regions and segment lesions in ultrasound images. The algorithm for segmenting breast ultrasound images consists of 3 steps, i.e. the nonlinear coherent...
3D contrast-enhanced ultrasound (CEUS) is a powerful imaging technique for tumour vascularity assessment, which is critical for radio-frequency ablation (RFA) planning or for the assessment of response to antiangiogenic therapies. In this paper, we propose a novel semi-automated method for the quantification of tumour vascularity in 3D CEUS data. We apply a two-step framework combining an interactive...
High intensity focused ultrasound (HIFU) has been investigated as a new technique for treating tumors in clinical applications. Detecting HIFU induced lesions in medical imaging is an important method to monitor and guide the HIFU therapies. In this paper, we propose an ultrasound image enhancement method for HIFU lesion detection and measurement based on the combination of the GenLik method and the...
Image segmentation is an important task in medical image analysis. Automatic segmentation of ultrasound image is a difficult task as it suffers from speckle noise. This paper presents a fully automatic approach in which there is no need for the user to provide a seed point to segment the image. It proposes a new method for segmenting the fibroid in uterus. The method used in this paper uses concepts...
Early detection and treatment of breast cancer can effectively prohibit its progress and decrease mortality rate. Recently, ultrasound imaging plays an important role in the field of breast cancer diagnosis because of its convenience and non-invasive. With the assist of computer-aided diagnosis (CAD) system, the characteristics of tumor can be detected and provided to physicians as a critical reference...
This work presents a computerized lesion segmentation technique on breast ultrasound images. There were applied known techniques such as morphological filtering, Watershed transform and average radial derivative function. To evaluate the performance of the proposed method the resulting segmentation contours were compared with 36 breast US images manually delineated by two senior radiologists. Further,...
We have developed a method to render brain tumors from endoneurosonography. We propose to track an ultrasound probe in successive endoscopic images without relying on an external optic or magnetic tracking system. The probe is tracked using two different methods, one of them based on generalized Hough transform and the other one on particle filters. With the estimation of the pose of the ultrasound...
Quantitative high-frequency ultrasound (QHFU) imaging methods are under investigation to evaluate their ability to detect small nodal metastases in lymph nodes freshly dissected from cancer patients. To apply these methods, a critical preprocessing step is 3D segmentation of the lymph-node ultrasound echo-signal dataset. Segmenting the residual fat layer and the lymph node is critical in order to...
Malignant and benign breast tumors have different shape characteristics associated with their growth ways on sonography. Through analyzing the tumor shape pattern on the clinical images and the experimental results, we find that the tumor shape can be characterized on three aspects: convexity, ellipticity, and symmetry. In this paper, the shape measures are quantified using the polygonal approximation,...
Segmentation of ultrasonic breast tumor images is a challenging topic in the clinical practice. A novel coarse-to-fine active contour (CFAC) model is proposed to extract boundaries of breast tumors based on a level-set framework. To apply the CFAC model, a Gaussian pyramid is firstly constructed to represent images at different resolution levels. Then, on the top pyramid level a region-based segmentation...
High intensity focused ultrasound (HIFU) has been developed and clinically used as a non-invasive cancer tumor treatment alternative. As compared to more commonly used cancer treatments such as surgery and radiation therapy, HIFU has the advantages of being minimally evasive and resulting in significantly less side-effect (F. Wu et al., 2004). Clinical applications of HIFU have seemed promising success...
In this paper first results from a clinical study on imaging thermally coagulated tissue using a system for automated tissue characterization are presented. Complex baseband ultrasound data have been acquired during therapeutic treatments of liver tumors. The current study comprises 11 cases. For data acquisition, a conventional diagnostic ultrasound scanner was used. As a therapeutic device, a clinical...
The following topics are dealt: time-frequency analysis; functional magnetic resonance imaging; cancer drug delivery; glucose sensor and diabetics control; neural computing; EEG; biomechanics; biomedical information network; health care environment; optical coherence tomography; medical diagnostics device; image-guided surgery; radiation therapy; laparoscopy; circadian rhythms; rehabilitation techniques;...
Ultrasonography is a technique which helps the physician to visualize the structures of internal organs of human body. In some cases it is difficult to identify the boundaries of abnormal regions in the image. Hence segmentation is necessary. The manual methods of segmentation needs high attention of sonographer and also suffer from poor accuracy and time consuming. The automatic segmentation of Ultrasound...
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