Improving the depiction of small intracranial vessels in head computed tomography angiography: a comparative analysis of deep learning reconstruction and hybrid iterative reconstruction-Reference-Cited by-同舟云学术

Improving the depiction of small intracranial vessels in head computed tomography angiography: a comparative analysis of deep learning reconstruction and hybrid iterative reconstruction

Published:2023-10-28 Issue: Volume: Page:
ISSN:1865-0333
Container-title:Radiological Physics and Technology
language:en
Short-container-title:Radiol Phys Technol

Author:

Ozaki Makoto^ORCID,Ichikawa Shota,Fukunaga Masaaki,Yamamoto Hiroyuki

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine,Radiation

Link

https://link.springer.com/content/pdf/10.1007/s12194-023-00749-8.pdf

Reference21 articles.

1. Lian K, Bharatha A, Aviv RI, Symons SP. Interpretation errors in CT angiography of the head and neck and the benefit of double reading. Am J Neuroradiol. 2011;32(11):2132–5. https://doi.org/10.3174/ajnr.A2678.

2. McKinney AM, Palmer CS, Truwit CL, Karagulle A, Teksam M. Detection of aneurysms by 64-section multidetector CT angiography in patients acutely suspected of having an intracranial aneurysm and comparison with digital subtraction and 3D rotational angiography. Am J Neuroradiol. 2008;29(3):594–602. https://doi.org/10.3174/ajnr.A0848.

3. Rovira A, Frive E, Rovira A, Sabin JA. Distribution territories and causative mechanisms of ischemic stroke. Eur Radiol. 2005;15:416–26. https://doi.org/10.1007/s00330-004-2633-5.

4. Hamamura T, Hayashida Y, Takeshita Y, Sugimoto K, Ueda I, Futatsuya K, et al. The usefulness of full-iterative reconstruction algorithm for the visualization of cystic artery on CT angiography. Jpn J Radiol. 2019;37(7):526–33. https://doi.org/10.1007/s11604-019-00839-x.

5. Willemink MJ, Noel PB. The evaluation of image reconstruction for CT—from filtered back projection to artificial intelligence. Eur Radiol. 2019;29:2185–95. https://doi.org/10.1007/s00330-018-5810-7.