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Plaque composition analysis is a critical tool in identifying vulnerable atherosclerotic plaques. Intravascular ultrasound with spectral analysis of the backscattered radio frequency (RF) signals (IVUS-VH) is currently considered as the gold standard for the evaluation of coronary plaque composition, while CT coronary angiography (CTA) has been proposed as a potential non-invasive counterpart. In...
Contralateral subtraction (C-sub) is a computer-aided diagnosis technique for detecting pulmonary nodules in chest radiographs. This technique enhances nodules in a chest image by subtracting its right / left reversed mirror image from the original image. In this paper we propose a C-sub scheme which uses a local registration method newly proposed in this paper. We evaluated the subtraction images...
Breast cancer is the most common cancer in women. The deviation from the normal architectural symmetry of the left and right breasts can indicate the abnormalities in early stage of breast cancer development. This paper presents a computer-aided detection algorithm for bilateral asymmetry in mammograms. First, the left and right mammograms are aligned by a novel non-rigid registration method which...
The generation of digitally reconstructed radiographs (DRRs) is a significant procedure in several medical imaging applications such as 2D/3D image registration. Also, digitally reconstructed radiographs play an important role in modern radiation therapy. They are planar X-rays that can be generated from the same data sets used for the planning CT scan, taken with the patient in the treatment position...
Registration between 3-D volumes and 2-D fluoro images for Electrophysiology (EP) is a challenging task due to the lack of corresponding features between 2-D and 3-D data. This paper presents an automatic, accurate and workflow-friendly 2-D/3-D registration method specially designed for patient movement correction during EP procedures. Firstly, 2-D spines are enhanced by exploiting the temporal information...
Real-time video and Quality-of-Service aspects play an increasing role in the development of medical imaging systems. To avoid resource overload and to guarantee the throughput of dynamic applications, we present a method for complexity prediction of image registration and motion-compensation algorithms, which can have a highly dynamic nature at runtime. As a case study, we explore a medical imaging...
This paper proposes a iterative robust algorithm for the registration of digital angiography images. The registration is iteratively refined with the extracted vessel information and the SSIM index is employed as similarity measure. The experimental results show that proposed algorithm yields good global and local registration, and SSIM index outperforms MI as a similarity measure in the DSA image...
Segmentation is one of the most critical problems in medical imaging. State-of-the art methods often are based on prior knowledge that can either encode geometry, appearance or both. Despite enormous work in the field, the mainstream is based on the concept of case-to-case segmentation. In this paper, we introduce the notion of mutual population segmentation using discrete optimization where results...
X-ray dose reduction in certain occasions is particularly important because some of patients are very sensitive to radiation exposure. Meanwhile, diagnosis often requires zooming into a region of interest for more details in an image such as pediatric patients or Digital Subtraction Angiography. However because of hardware limitations of digital X-ray imaging systems, the zoom would contain a lot...
Digitally reconstructed radiographies (DRR's) turn out to be essential in the planning and verification of radio-therapy treatments. These images are used in radiotherapy planning in order to mark out the area to be radiated. In a later stage, at the beginning of each radiation session, several DRR's are compared with portal images which are acquired at the moment. By means of image registration tasks,...
Multi-sensor biomedical image registration and fusion usually require intensive computational effort. This article presented a novel automated approach of the multi-sensor retinal optic nerve head image registration and fusion using heuristic optimization algorithm. The reference and the to-be-registered images are from two different modalities, i.e. angiogram grayscale images and fundus color images...
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