Computer Vision News - July 2020

2 Summary RSIP Vision Projects 10 Coronary computed tomography angiography (CCTA) is an efficient and non-invasive imaging modality with widespread clinical implementation in the identification of coronary artery disease (CAD). With rapid 3D visualization of coronary arteries and heart, including visualization of blood flow in arteries and capillaries, CCTA enables accurate monitoring of the coronary tree for blockages and other pathologies, yet, somemajor challenges remain to bemet tomaximize its clinical value. RSIP Vision shares with you the main lines of our work. Complexity of CCTA Analysis: Diagnostic accuracy of coronary computed tomography angiography - The diagnostic value of CCTA relies on manual assessment of a 3Dmodel of the coronary tree consisting of numerous image slices. However, the complexity of these images makes this task time- consuming and difficult. Image artifacts, from motion, arrhythmia, calcified plaque, patient size, and other factors, further complicate the task. Deep learning is automating segmentation and facilitating the identification of blockages and other anomalies while increasing accuracy and time savings. Methods – One DL method is segmenting the LV in CCTA using a multiscale patch-based CNN. This is a two-stage method. In the first stage, three CNNs are dispatched to detect a bounding box around the LV. In the second stage, CNNs are used to perform voxel classification. Another method involves using a LSTM RNN to automatically label segments in the coronary artery tree, trained using hundreds of CCTA images. The RNN, is proven tosuccessfully learn the topology and spatial location of blood vessels and capture the coronary tree structure characteristics while presenting robust results. Results – Deep Learning based approaches, such as CNN and RNN, successfully segment the coronary tree structure and characteristics, reducing complexity and time burden of CCTA interpretation and achieving a higher accuracy rate than classical approaches. AI in Cardiac CT Angiography