AIMC Topic: Coronary Vessels

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Fast Computation of Hemodynamic Sensitivity to Lumen Segmentation Uncertainty.

IEEE transactions on medical imaging
Patient-specific blood flow modeling combining imaging data and computational fluid dynamics can aid in the assessment of coronary artery disease. Accurate coronary segmentation and realistic physiologic modeling of boundary conditions are important ...

[A coronary artery plaque segmentation method based on focal weighted accuracy loss function].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Medical images of coronary artery plaque are always accompanied by the situation of extreme class imbalance. The traditional two-step methods locate the region of interest (ROI) in the sample firstly, and then segment the sample within the ROI. On th...

Automated coronary artery segmentation / tissue characterization and detection of lipid-rich plaque: An integrated backscatter intravascular ultrasound study.

International journal of cardiology
BACKGROUND: Intravascular ultrasound (IVUS)-based tissue characterization has been used to detect vulnerable plaque or lipid-rich plaque (LRP). Recently, advancements in artificial intelligence (AI) technology have enabled automated coronary arterial...

[The value of coronary angiography-derived fractional flow reserve and coronary angiography-derived index of microcirculatory resistance in coronary artery hemodynamic evaluation].

Zhonghua xin xue guan bing za zhi
To evaluate the diagnostic value of coronary angiography-derived fractional flow reserve (FFR) and index of microcirculatory resistance (IMR) for identifying coronary functional abnormalities. This diagnostic study enrolled patients with clinically...

Impact of Deep Learning-Based Image Conversion on Fully Automated Coronary Artery Calcium Scoring Using Thin-Slice, Sharp-Kernel, Non-Gated, Low-Dose Chest CT Scans: A Multi-Center Study.

Korean journal of radiology
OBJECTIVE: To evaluate the impact of deep learning-based image conversion on the accuracy of automated coronary artery calcium quantification using thin-slice, sharp-kernel, non-gated, low-dose chest computed tomography (LDCT) images collected from m...

Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024).

Computer methods and programs in biomedicine
BACKGROUND: Coronary artery disease (CAD) is the most common cardiovascular disease, exacting high morbidity and mortality worldwide. CAD is detected on coronary artery imaging; coronary artery segmentation (CAS) of the images is essential for corona...

Computed Tomography Advancements in Plaque Analysis: From Histology to Comprehensive Plaque Burden Assessment.

Echocardiography (Mount Kisco, N.Y.)
Advancements in coronary computed tomography angiography (CCTA) facilitated the transition from traditional histological approaches to comprehensive plaque burden assessment. Recent updates in the European Society of Cardiology (ESC) guidelines empha...

Bi-VesTreeFormer: A bidirectional topology-aware transformer framework for coronary vFFR estimation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Fractional Flow Reserve (FFR) serves as the gold standard for evaluating the functional significance of coronary artery stenosis. However, traditional FFR involves the injection of vasodilator drugs and the utilization of additional guidewires, which...