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Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system

Sai Gokul Hariharan, Christian Kaethner, Norbert Strobel, Markus Kowarschik, Julie DiNitto, Shadi Albarqouni, Rebecca Fahrig, Nassir Navab

International journal of computer assisted radiology and surgery, 2019

Abstract

2D digital subtraction angiography (DSA) has become an important technique for interventional neuroradiology tasks, such as detection and subsequent treatment of aneurysms. In order to provide high-quality DSA images, usually undiluted contrast agent and a high X-ray dose are used. The iodinated contrast agent puts a burden on the patients’ kidneys while the use of high-dose X-rays expose both patients and medical staff to a considerable amount of radiation. Unfortunately, reducing either the X-ray dose or the contrast agent concentration usually results in a sacrifice of image quality.To denoise a frame, the proposed spatiotemporal denoising method utilizes the low-rank nature of a spatially aligned temporal sequence where variation is introduced by the flow of contrast agent through a vessel tree of interest. That is, a constrained weighted rank-1 approximation of the stack …

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Keywords

Radiology

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Cite (BibTeX)
@article{hariharan2019preliminary,
 author = {Hariharan, Sai Gokul and Kaethner, Christian and Strobel, Norbert and Kowarschik, Markus and DiNitto, Julie and Albarqouni, Shadi and Fahrig, Rebecca and Navab, Nassir},
 journal = {International journal of computer assisted radiology and surgery},
 number = {7},
 pages = {1117--1126},
 publisher = {Springer International Publishing},
 title = {Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system},
 volume = {14},
 year = {2019}
}

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