Weighted FDK Algorithm from Spiral Cone-Beam Computed Tomography with Displaced Detector

2015 ◽  
Vol 5 (2) ◽  
pp. 290-295 ◽  
Author(s):  
Xiaobing Zou ◽  
Li Zeng
2019 ◽  
Vol 1 (1) ◽  
pp. 16-18 ◽  
Author(s):  
Norafida Bahari ◽  
Nik Azuan Nik Ismail ◽  
Jegan Thanabalan ◽  
Ahmad Sobri Muda

In this article, we evaluate the effectiveness of Cone Beam Computed Tomography, through a case study, in assessing the complication of intracranial bleeding during an endovascular treatment of brain arteriovenous malformation when compared to Multislice-Detector Computed Tomography performed immediately after the procedure. The image quality of Cone Beam Computed Tomography has enough diagnostic value in differentiating between haemorrhage, embolic materials and the arteriovenous malformation nidus to facilitate physicians to decide for further management of the patient.


Author(s):  
Norafida Bahari ◽  
NikAzuan Nik Ismail ◽  
Jegan Thanabalan ◽  
Ahmad Sobri Muda

In this article, we evaluate the effectiveness of Cone Beam Computed Tomography, through a case study, in assessing the complication of intracranial bleeding during an endovascular treatment of brain arteriovenous malformation when compared to Multislice-Detector Computed Tomography performed immediately after the procedure. The image quality of Cone Beam Computed Tomography has enough diagnostic value in differentiating between haemorrhage, embolic materials and the arteriovenous malformation nidus to facilitate physicians to decide for further management of the patient.


2020 ◽  
Vol 69 (1) ◽  
Author(s):  
Andrea Pilloni ◽  
Lorenza Montanaro ◽  
Fabiola Dell'olmo ◽  
Alberto Fonzar ◽  
Francesco Cairo ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document