Pulmonary Angiography

Pulmonary angiography (PA), primarily using computed tomography pulmonary angiography (CTPA), is a crucial diagnostic tool for detecting pulmonary embolism (PE) and assessing pulmonary vascular anatomy. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs), transformer-based architectures (like Swin Transformers), and generative adversarial networks (GANs) to improve PE detection accuracy, automate segmentation of pulmonary vessels, and even generate synthetic CTPA scans from less expensive X-rays. These advancements aim to enhance diagnostic efficiency, reduce reliance on contrast agents, and improve risk stratification for PE patients, ultimately leading to better patient outcomes and more efficient healthcare resource allocation.

Papers

October 29, 2024

MIMIC-IV-Ext-PE: Using a large language model to predict pulmonary embolism phenotype in the MIMIC-IV dataset
B. D. Lam, S. Ma, I. Kovalenko, P. Wang, O. Jafari, A. Li, S. Horng
Large Language Model Medical Information Mart for Intensive Pulmonary Angiography Pulmonary Embolism Patient Phenotype

July 16, 2024

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans
Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu
Mutual Learning Non Contrast Pulmonary Angiography Pulmonary Embolism Diagnosis

June 23, 2024

X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning
Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan
Contrast Enhanced Pulmonary Angiography 2 Dimensional X Ray Computed Tomography Pulmonary

June 3, 2024

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data
Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun H. Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay
Multimodal Learning Clinical Data Pulmonary Angiography Pulmonary Embolism Computed Tomography Pulmonary

April 11, 2024

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy
Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao
Pulmonary Angiography Pulmonary Artery Vein Segmentation Artery Vein Artery Vein Segmentation

February 27, 2024

PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction
Zhaoxin Guo, Zhipeng Wang, Ruiquan Ge, Jianxun Yu, Feiwei Qin, Yuan Tian, Yuqing Peng, Yonghong Li, Changmiao Wang
Multi View Electronic Health Record Multimodal Fusion Model Pulmonary Angiography Pulmonary Embolism Cross Modal Fusion Network

December 22, 2023

SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation
Yifei Chen, Binfeng Zou, Zhaoxin Guo, Yiyu Huang, Yifan Huang, Feiwei Qin, Qinhai Li, Changmiao Wang
Hybrid Neural Network Skip Connection Pulmonary Angiography Pulmonary Embolism Swin Unet

December 3, 2023

Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey
Seyed Hesamoddin Hosseini, Amir Hossein Taherinia, Mahdi Saadatmand
Deep Learning Timely Survey Computer Aided Design Pulmonary Angiography Pulmonary Embolism Pulmonary Embolism Diagnosis

November 9, 2023

Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection
Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, Saidul Kabir, Menatalla Said, Sohaib Bassam Zoghoul, Adam Mushtak, Israa Al-Hashimi, Abdulrahman Alqahtani, Anwarul Hasan
Deep Learning CNN Network Dual Approach Pulmonary Angiography Convolutional Attention Pulmonary Embolism Pulmonary Embolism Diagnosis

March 30, 2023

Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms
Florin Condrea, Saikiran Rapaka, Lucian Itu, Puneet Sharma, Jonathan Sperl, A Mohamed Ali, Marius Leordeanu
Deep Learning LeArning Abstract Pulmonary Angiography Pulmonary Embolism

March 20, 2023

Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation
Michael J. Sharkey, Krit Dwivedi, Samer Alabed, Andrew J. Swift
Pulmonary Angiography Lung Disease Pulmonary Hypertension Lung Texture Lung Region

June 3, 2022

Detecting Pulmonary Embolism from Computed Tomography Using Convolutional Neural Network
Chia-Hung Yang, Yun-Chien Cheng, Chin Kuo
Convolutional Neural Network Computed Tomography Pulmonary Angiography Pulmonary Embolism Computed Tomography Pulmonary

May 17, 2022

Computerized Tomography Pulmonary Angiography Image Simulation using Cycle Generative Adversarial Network from Chest CT imaging in Pulmonary Embolism Patients
Chia-Hung Yang, Yun-Chien Cheng, Chin Kuo
Generative Adversarial Network CT Image Chest CT Pulmonary Angiography Pulmonary Embolism Diagnosis Computed Tomography Pulmonary

April 7, 2022

Convolutional Neural Network for Early Pulmonary Embolism Detection via Computed Tomography Pulmonary Angiography
Ching-Yuan Yu, Ming-Che Chang, Yun-Chien Cheng, Chin Kuo
Convolutional Neural Network Pulmonary Angiography Pulmonary Embolism Pulmonary Embolism Diagnosis

November 10, 2021

Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network
Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang
Vessel Detection Pulmonary Angiography Pulmonary Embolism Computed Tomography Pulmonary

Pulmonary Angiography

Papers

MIMIC-IV-Ext-PE: Using a large language model to predict pulmonary embolism phenotype in the MIMIC-IV dataset

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans

X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy

PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction

SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation

Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey

Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection

Anatomically aware dual-hop learning for pulmonary embolism detection in CT pulmonary angiograms

Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation

Detecting Pulmonary Embolism from Computed Tomography Using Convolutional Neural Network

Computerized Tomography Pulmonary Angiography Image Simulation using Cycle Generative Adversarial Network from Chest CT imaging in Pulmonary Embolism Patients

Convolutional Neural Network for Early Pulmonary Embolism Detection via Computed Tomography Pulmonary Angiography

Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network