Could both intrinsic and extrinsic iodine be successfully suppressed on virtual non-contrast CT images for detecting thyroid calcification?

2021 ◽  
Author(s):  
Arim Park ◽  
Young Hen Lee ◽  
Hyung Suk Seo
Keyword(s):  
Ct Images ◽  
Contrast Ct

scholarly journals Morphometrical Study of the Lumbar Segment of the Internal Vertebral Venous Plexus in Dogs: A Contrast CT-Based Study

Animals ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1502
Author(s):  
Valeria Ariete ◽  
Natalia Barnert ◽  
Marcelo Gómez ◽  
Marcelo Mieres ◽  
Bárbara Pérez ◽  
...  
Keyword(s):  
Epidural Space ◽  
Ct Images ◽  
Venous Plexus ◽  
Morphological Pattern ◽  
Vertebral Canal ◽  
Dural Sac ◽  
Internal Vertebral Venous Plexus ◽  
Adjacent Structures ◽  
Contrast Ct ◽  
Enhanced Computed Tomography

The internal vertebral venous plexus (IVVP) is a thin-walled, valveless venous network that is located inside the vertebral canal, communicating with the cerebral venous sinuses. The objective of this study was to perform a morphometric analysis of the IVVP, dural sac, epidural space and vertebral canal between the L1 and L7 vertebrae with contrast-enhanced computed tomography (CT). Six clinically healthy adult dogs weighing between 12 kg to 28 kg were used in the study. The CT venographic protocol consisted of a manual injection of 880 mgI/kg of contrast agent (587 mgI/kg in a bolus and 293 mgI/mL by continuous infusion). In all CT images, the dimensions of the IVVP, dural sac, and vertebral canal were collected. Dorsal reconstruction CT images showed a continuous rhomboidal morphological pattern for the IVVP. The dural sac was observed as a rounded isodense structure throughout the vertebral canal. The average area of the IVVP ranged from 0.61 to 0.74 mm2 between L1 and L7 vertebrae (6.3–8.9% of the vertebral canal), and the area of the dural sac was between 1.22 and 7.42 mm2 (13.8–72.2% of the vertebral canal). The area of the epidural space between L1 and L7 ranged from 2.85 to 7.78 mm2 (27.8–86.2% of the vertebral canal). This CT venography protocol is a safe method that allows adequate visualization and morphometric evaluation of the IVVP and adjacent structures.

Quantitative analysis of brain herniation from non-contrast CT images using deep learning

2021 ◽  
Vol 349 ◽  
pp. 109033
Author(s):  
Manas Kumar Nag ◽  
Akshat Gupta ◽  
A.S. Hariharasudhan ◽  
Anup Kumar Sadhu ◽  
Abir Das ◽  
...  
Keyword(s):  
Deep Learning ◽  
Quantitative Analysis ◽  
Ct Images ◽  
Brain Herniation ◽  
Contrast Ct

Comparison of phase contrast CT images for different tumor tissues

2013 ◽  
Author(s):  
Chenglin Liu ◽  
Hua Xu ◽  
Xiaohua Wang ◽  
Dongming Zhang ◽  
Xinyi Zhang ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Ct Images ◽  
Tumor Tissues ◽  
Contrast Ct

scholarly journals Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images

2017 ◽  
Author(s):  
P. Nardelli ◽  
D. Jimenez-Carretero ◽  
D. Bermejo-Pelaez ◽  
M.J. Ledesma-Carbayo ◽  
Farbod N. Rahaghi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Pulmonary Artery ◽  
Learning Strategy ◽  
Ct Images ◽  
Contrast Ct

scholarly journals Differentiation of Urinary Stone and Vascular Calcifications on Non-contrast CT Images: An Initial Experience using Computer Aided Diagnosis

2009 ◽  
Vol 23 (3) ◽  
pp. 268-276 ◽  
Author(s):  
Hak Jong Lee ◽  
Kwang Gi Kim ◽  
Sung Il Hwang ◽  
Seung Hyup Kim ◽  
Seok-Soo Byun ◽  
...  
Keyword(s):  
Urinary Stone ◽  
Ct Images ◽  
Computer Aided Diagnosis ◽  
Initial Experience ◽  
Vascular Calcifications ◽  
Computer Aided ◽  
Contrast Ct ◽  
Aided Diagnosis
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