MO-G-BRA-04: Fast and Robust Automated Segmentation of the Cervix-Uterus Structure in CT-Images Driven by Patient-Specific Motion-Models

2012 ◽  
Vol 39 (6Part22) ◽  
pp. 3881-3882
Author(s):  
L Bondar ◽  
B Heijmen ◽  
M Hoogeman
Keyword(s):  
Cervix Uterus ◽  
Ct Images ◽  
Patient Specific ◽  
Automated Segmentation ◽  
Motion Models

Automated segmentation of murine lung tumors in x-ray micro-CT images

2014 ◽  
Author(s):  
Joshua K. Y. Swee ◽  
Clare Sheridan ◽  
Elza de Bruin ◽  
Julian Downward ◽  
Francois Lassailly ◽  
...  
Keyword(s):  
Lung Tumors ◽  
Ct Images ◽  
Automated Segmentation ◽  
Micro Ct ◽  
Murine Lung ◽  
X Ray

scholarly journals Automated segmentation of hepatic vessel trees in non-contrast x-ray CT images

2007 ◽  
Author(s):  
Suguru Kawajiri ◽  
Xiangrong Zhou ◽  
Xuejin Zhang ◽  
Takeshi Hara ◽  
Hiroshi Fujita ◽  
...  
Keyword(s):  
Ct Images ◽  
Automated Segmentation ◽  
X Ray

Investigation of three-dimensional printing materials for printing aorta model replicating Type B aortic dissection

2021 ◽  
Vol 17 ◽  
Author(s):  
Chia-An Wu ◽  
Andrew Squelch ◽  
Zhonghua Sun
Keyword(s):  
3D Printing ◽  
Aortic Dissection ◽  
Three Dimensional ◽  
Ct Images ◽  
Patient Specific ◽  
Type B ◽  
Type B Aortic Dissection ◽  
Ct Attenuation ◽  
Significant Difference ◽  
3D Printed

Aim: To determine a printing material that has both elastic property and radiology equivalence close to real aorta for simulation of endovascular stent graft repair of aortic dissection. Background: With the rapid development of three-dimensional (3D) printing technology, a patient-specific 3D printed model is able to help surgeons to make better treatment plan for Type B aortic dissection patients. However, the radiological properties of most 3D printing materials have not been well characterized. This study aims to investigate the appropriate materials for printing human aorta with mechanical and radiological properties similar to the real aortic computed tomography (CT) attenuation. Objective: Quantitative assessment of CT attenuation of different materials used in 3D printed models of aortic dissection for developing patient-specific 3D printed aorta models to simulate type B aortic dissection. Method: A 25-mm length of aorta model was segmented from a patient’s image dataset with diagnosis of type B aortic dissection. Four different elastic commercial 3D printing materials, namely Agilus A40 and A50, Visijet CE-NT A30 and A70 were selected and printed with different hardness. Totally four models were printed out and conducted CT scanned twice on a 192-slice CT scanner using the standard aortic CT angiography protocol, with and without contrast inside the lumen.Five reference points with region of interest (ROI) of 1.77 mm2 were selected at the aortic wall and intimal flap and their Hounsfield units (HU) were measured and compared with the CT attenuation of original CT images. The comparison between the patient’s aorta and models was performed through a paired-sample t-test to determine if there is any significant difference. Result: The mean CT attenuation of aortic wall of the original CT images was 80.7 HU. Analysis of images without using contrast medium showed that the material of Agilus A50 produced the mean CT attenuation of 82.6 HU, which is similar to that of original CT images. The CT attenuation measured at images acquired with other three materials was significantly lower than that of original images (p<0.05). After adding contrast medium, Visijet CE-NT A30 had an average CT attenuation of 90.6 HU, which is close to that of the original images with statistically significant difference (p>0.05). In contrast, the CT attenuation measured at images acquired with other three materials (Agilus A40, A50 and Visiject CE-NT A70) was 129 HU, 135 HU and 129.6 HU, respectively, which is significantly higher than that of original CT images (p<0.05). Conclusion: Both Visijet CE-NT and Agilus have tensile strength and elongation close to real patient’s tissue properties producing similar CT attenuation. Visijet CE-NT A30 is considered the appropriate material for printing aorta to simulate contrast-enhanced CT imaging of type B aortic dissection. Due to lack of body phantom in the experiments, further research with simulation of realistic anatomical body environment should be conducted.

Automated segmentation of pelvis and femur from 3-D CT images

2002 ◽  
pp. 413-418 ◽  
Author(s):  
Reza A. Zoroofi ◽  
Yoshinobu Sato ◽  
Bahram Borgheai ◽  
Toshihiko Sasama ◽  
Takashi Nishii ◽  
...  
Keyword(s):  
Ct Images ◽  
Automated Segmentation

Artifact-free CT images for electron beam therapy using a patient-specific non metallic shield

2020 ◽  
Vol 75 ◽  
pp. 92-99
Author(s):  
Jong In Park ◽  
Sangmin Lee ◽  
Il Han Kim ◽  
Sung-Joon Ye
Keyword(s):  
Electron Beam ◽  
Ct Images ◽  
Patient Specific ◽  
Electron Beam Therapy
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