Automatic segmentation of arterial tree from 3D computed tomographic pulmonary angiography (CTPA) scans
Pulmonary embolism (PE) and other pulmonary vascular diseases, have been found associated with the changes in arterial morphology. To detect arterial changes, we propose a novel, fully automatic method that can extract pulmonary arterial tree in computed tomographic pulmonary angiography (CTPA) imag...
Main Authors: | Chi Zhang, Mingxia Sun, Yinan Wei, Haoyuan Zhang, Sheng Xie, Tongxi Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-10-01
|
Series: | Computer Assisted Surgery |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/24699322.2019.1649077 |
Similar Items
-
A decision tree built with parameters obtained by computed tomographic pulmonary angiography is useful for predicting adverse outcomes in non-high-risk acute pulmonary embolism patients
by: Dong Jia, et al.
Published: (2019-08-01) -
Mandatory adherence to diagnostic protocol increases the yield of CTPA for pulmonary embolism
by: Stefan Walen, et al.
Published: (2016-07-01) -
Pulmonary embolism during pregnancy: How to avoid computed tomographic pulmonary angiography?
by: Marcelina Makuch, et al.
Published: (2020-09-01) -
A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images
by: Xin Yang, et al.
Published: (2019-01-01) -
Computed tomographic pulmonary angiography and pulmonary embolism: predictive value of a d-dimer assay
by: Deonarine Patricia, et al.
Published: (2012-02-01)