Key result
This extensive literature survey reviews segmentation and reconstruction techniques for three-dimensional artery modeling using various medical imaging modalities.
This review highlights the importance and methodologies of 3D reconstruction of blood vessels from medical images to aid in the diagnosis and treatment planning of vascular diseases.
Survey of artery segmentation methods leaves open optimal clinical translation; extends research on multimodal 3D vascular modeling.
Vascular diseases are nowadays one of the serious issues which have a huge impact on someone's life. Number of researchers at different universities as well as medical device manufacturers are working in this field for better understanding of the vascular characteristics. It is expected that three dimensional structure of blood vessels can provide comprehensive visualization of vessel geometry. This information will be useful in diagnosis and therapy related to vascular diseases. Several studies describe different numerical approaches to reconstruct a modeling of blood vessels closest to reality by using medical imaging. This paper gives extensive literature survey on segmentation and reconstruction techniques for artery modeling that uses various image modalities such as X Ray Angiography, Magnetic Resonance Angiography, Computed Tomography Angiography, Ultrasound etc. for the assessment of blood vessels.
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Sudhir et al. (2017) conducted a review in Vascular diseases. Segmentation and reconstruction techniques for artery modeling was evaluated. This extensive literature survey reviews segmentation and reconstruction techniques for three-dimensional artery modeling using various medical imaging modalities.
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