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Echocardiography is crucial for cardiovascular disease detection but relies heavily on experienced sonographers. Echocardiography probe guidance systems, which provide real-time movement instructions for acquiring standard plane images,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Yang Yue , Yulin Wang , Haojun Jiang , Pan Liu , Shiji Song , Gao Huang

Quantitative evaluation of echocardiography is essential for precise assessment of cardiac condition, monitoring disease progression, and guiding treatment decisions. The diverse nature of echo images, including variations in probe types,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Abdoul Aziz Amadou , Yue Zhang , Sebastien Piat , Paul Klein , Ingo Schmuecking , Tiziano Passerini , Puneet Sharma

Echocardiography is an essential medical technique for diagnosing cardiovascular diseases, but its high operational complexity has led to a shortage of trained professionals. To address this issue, we introduce a novel probe movement…

Computer Vision and Pattern Recognition · Computer Science 2025-10-13 Haojun Jiang , Teng Wang , Zhenguo Sun , Yulin Wang , Yang Yue , Yu Sun , Ning Jia , Meng Li , Shaqi Luo , Shiji Song , Gao Huang

The complex structure of the heart leads to significant challenges in echocardiography, especially in acquisition cardiac ultrasound images. Successful echocardiography requires a thorough understanding of the structures on the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-22 Haojun Jiang , Meng Li , Zhenguo Sun , Ning Jia , Yu Sun , Shaqi Luo , Shiji Song , Gao Huang

Multimodal deep learning foundation models can learn the relationship between images and text. In the context of medical imaging, mapping images to language concepts reflects the clinical task of diagnostic image interpretation, however…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Matthew Christensen , Milos Vukadinovic , Neal Yuan , David Ouyang

Echocardiography is the most widely used cardiac imaging modality, capturing ultrasound video data to assess cardiac structure and function. Artificial intelligence (AI) in echocardiography has the potential to streamline manual tasks and…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Milos Vukadinovic , Xiu Tang , Neal Yuan , Paul Cheng , Debiao Li , Susan Cheng , Bryan He , David Ouyang

Echocardiography segmentation for cardiac analysis is time-consuming and resource-intensive due to the variability in image quality and the necessity to process scans from various standard views. While current automated segmentation methods…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Sekeun Kim , Hui Ren , Peng Guo , Abder-Rahman Ali , Patrick Zhang , Kyungsang Kim , Xiang Li , Quanzheng Li

Ultrasound imaging of the heart (echocardiography) is widely used to diagnose cardiac diseases. However, obtaining an echocardiogram requires an expert sonographer and a high-quality ultrasound imaging device, which are generally only…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Andy Dimnaku , Dominic Yurk , Zhiyuan Gao , Arun Padmanabhan , Mandar Aras , Yaser Abu-Mostafa

Video transformers have recently demonstrated strong potential for echocardiogram (echo) analysis, leveraging self-supervised pre-training and flexible adaptation across diverse tasks. However, like other models operating on videos, they…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Alexander Thorley , Agis Chartsias , Jordan Strom , Jeremy Slivnick , Dipak Kotecha , Alberto Gomez , Jinming Duan

Echocardiography is the only technique capable of real-time imaging of the heart and is vital for diagnosing the majority of cardiac diseases. However, there is a severe shortage of experienced cardiac sonographers, due to the heart's…

Image and Video Processing · Electrical Eng. & Systems 2024-10-22 Haojun Jiang , Zhenguo Sun , Ning Jia , Meng Li , Yu Sun , Shaqi Luo , Shiji Song , Gao Huang

Tissue tracking in echocardiography is challenging due to the complex cardiac motion and the inherent nature of ultrasound acquisitions. Although optical flow methods are considered state-of-the-art (SOTA), they struggle with long-range…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Md Abulkalam Azad , Artem Chernyshov , John Nyberg , Ingrid Tveten , Lasse Lovstakken , Håvard Dalen , Bjørnar Grenne , Andreas Østvik

Foundation models have recently gained significant attention because of their generalizability and adaptability across multiple tasks and data distributions. Although medical foundation models have emerged, solutions for cardiac imaging,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-30 Sekeun Kim , Pengfei Jin , Sifan Song , Cheng Chen , Yiwei Li , Hui Ren , Xiang Li , Tianming Liu , Quanzheng Li

Although the heart has complex three-dimensional (3D) anatomy, conventional medical imaging with cardiac ultrasound relies on a series of 2D videos showing individual cardiac structures. 3D echocardiography is a developing modality that now…

Computer Vision and Pattern Recognition · Computer Science 2025-11-24 Milos Vukadinovic , Hirotaka Ieki , Yuki Sahashi , David Ouyang , Bryan He

Cardiac motion estimation is critical to the assessment of cardiac function. Myocardium feature tracking (FT) can directly estimate cardiac motion from cine MRI, which requires no special scanning procedure. However, current deep…

Image and Video Processing · Electrical Eng. & Systems 2020-08-19 Pingjun Chen , Xiao Chen , Eric Z. Chen , Hanchao Yu , Terrence Chen , Shanhui Sun

Echocardiography is essential to modern cardiology. However, human interpretation limits high throughput analysis, limiting echocardiography from reaching its full clinical and research potential for precision medicine. Deep learning is a…

Computer Vision and Pattern Recognition · Computer Science 2017-06-28 Ali Madani , Ramy Arnaout , Mohammad Mofrad , Rima Arnaout

Purpose: Echocardiographic interpretation requires video-level reasoning and guideline-based measurement analysis, which current deep learning models for cardiac ultrasound do not support. We present EchoAgent, a framework that enables…

Echocardiography is critical for diagnosing cardiovascular diseases, yet the shortage of skilled sonographers hinders timely patient care, due to high operational difficulties. Consequently, research on automated probe navigation has…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Teng Wang , Haojun Jiang , Chenxi Li , Diwen Wang , Yihang Tang , Zhenguo Sun , Yujiao Deng , Shiji Song , Gao Huang

Focused transmits are the most commonly used transmit strategy for echocardiograms, but suffer from relatively low frame rates, and in 3D, even lower volume rates. Fast imaging based on unfocused transmits has disadvantages such as motion…

Signal Processing · Electrical Eng. & Systems 2026-05-14 Wessel L. van Nierop , Oisín Nolan , Tristan S. W. Stevens , Ruud J. G. van Sloun

To facilitate diagnosis on cardiac ultrasound (US), clinical practice has established several standard views of the heart, which serve as reference points for diagnostic measurements and define viewports from which images are acquired.…

Image and Video Processing · Electrical Eng. & Systems 2024-03-04 Sarina Thomas , Cristiana Tiago , Børge Solli Andreassen , Svein Arne Aase , Jurica Šprem , Erik Steen , Anne Solberg , Guy Ben-Yosef

Accurate geometric quantification of the human heart is a key step in the diagnosis of numerous cardiac diseases, and in the management of cardiac patients. Ultrasound imaging is the primary modality for cardiac imaging, however acquisition…

Image and Video Processing · Electrical Eng. & Systems 2022-07-28 David Stojanovski , Uxio Hermida , Marica Muffoletto , Pablo Lamata , Arian Beqiri , Alberto Gomez
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