Program

9:00 UTC	Introduction
9:10 UTC	From Spins to Pictures to Digital Organs and Back Keynote speaker: Sebastian Kozerke, Professor of Biomedical Imaging, ETH Zurich Among the diagnostic imaging modalities, Magnetic Resonance (MR) imaging stands out as it offers a wealth of contrast mechanisms. Using bipolar magnetic field gradients, motion of spins can be encoded. Depending on the scale or range of motion, modulations of image magnitude or phase can be detected. Coherent motion, as for example found with blood flow in larger vessels, is readily quantifiable as a phase change in the images while incoherent or stochastic motion, as with diffusing water in tissue, is detectable as image voxel-based magnitude attenuation. While both types of motion are encoded with essentially the same MR experiment, they offer very distinct insights into in-vivo anatomy and function. Beyond motion-sensitive imaging, metabolic MR imaging offers yet another angle of capturing the complex interplay of mechanisms in-vivo. While MR has profited from the abundance of water in the human body, probing non-proton substrates has turned out very challenging given the low polarization of non-proton nuclei, the low concentration of non-proton-based substrates such as organic molecules and the limited sensitivity of detecting non-proton compounds. With break-through advances in dissolution Dynamic Nuclear Polarization (DNP) technology a new era has started allowing for real-time MR imaging of key metabolic substrates in the in-vivo heart and other organs. In this presentation, we will discuss the importance of understanding the interplay of substrate supply, substrate metabolism and function of the heart. It will be demonstrated that changes in metabolic turnover present early hallmarks of deranging function as seen for example in heart failure. In the presentation the basic ideas of encoding flow, diffusion and metabolic information will be conveyed and critically discussed. The importance of discriminating between an analog encoding realm versus digital inference will be stressed and set in contrast to common beliefs in voxel-based information as it is currently witnessed with machine learning based image classifications. We will show the role of MR image-guided digital organs for inferring sub-voxel information from in-vivo measurements and will paint a future scenario of patient-specific in-silico diagnostics and prediction including approaches to optimal experimental design of imaging.
10:00 UTC	Regular papers (each: 2 min presentation, 8 min Q&A)
	A bi-atrial statistical shape model as a basis to classify left atrial enlargement from simulated and clinical 12-lead ECGs Claudia Nagel, Matthias Schaufelberger, Olaf Doessel and Axel Loewe
	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair Young, Inês Machado, Kerstin Hammernik, Andrew King, Julia Schnabel
	Characterizing myocardial ischemia and reperfusion patterns with hierarchical manifold learning Benoît Freiche, Patrick Clarysse, Magalie Viallon, Pierre Croiselle, Nicolas Duchateau
	Unsupervised Multi-Modality Registration Network based on Spatially Encoded Gradient Information Wangbin Ding, Lei Li, Liqin Huang, Xiahai Zhuang
	In-silico analysis of device-related thrombosis for different left atrial appendage occluder settings Eric Planas, Jordi Mill, Andy Olivares, Xabier Morales, Maria Isabel Pons, Xavier Iriart, Hubert Cochet, Oscar Camara
11:00 UTC	Break
11:15 UTC	Poster session 1
	Multi-atlas segmentation of the aorta from 4D PC-MRI: comparison of several fusion strategies Diana Marin, Arnaud Boucher, Siyu Lin, Chloe Bernard, Marie-Catherine Morgant, Alexandre Cochet, Alain Lalande, Olivier Bouchot, Benoit Presles
	Quality-aware cine cardiac MRI reconstruction and analysis from undersampled k-space data Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair Young, Claudia Prietro, Julia Schnabel, Andrew King
	Coronary artery centerline refinement using GCN trained with synthetic data Zhanqiang Guo, Yifan Zhang, Jianjiang Feng, Eddy Yang, Lan Qin, Jie Zhou
	Novel imaging biomarkers to evaluate heart dysfunction post-chemotherapy: a preclinical MR feasibility study Peter Lin, Terenz Escartin, Matthew Ng, Melissa Larsen, Jen Barry, Idan Roifman, Mihaela Pop
	Vessel extraction and analysis of aortic dissection Hui Fang, Zhanqiang Guo, Guozhu Shao, Zimeng Tan, Jinyang Yu, Jia Liu, Yukun Cao, Jie Zhou, Heshui Shi, Jianjiang Feng
	Generating subpopulation-specific biventricular anatomy models using conditional point cloud variational autoencoders Marcel Beetz, Abhirup Banerjee, Vicente Grau
	Hierarchical multi-modality prediction model to assess obesity-related remodelling Gabriel Bernardino, Patrick Clarysse, Alvaro Sepúlveda-Martínez, Merida Rodríguez-López, Susanna Prat-Gonzalez, Marta Sitges, Eduard Gratacós, Fatima Crispi, Nicolas Duchateau
12:00 UTC	Lunch break
13:00 UTC	M2Ms-2 (Multi-Disease, Multi-View & Multi-Center Right) Right Ventricular Challenge results
15:00 UTC	Break
15:15 UTC	Poster session 2
	Simultaneous segmentation and motion estimation of left ventricular myocardium in 3D echocardiography using multi-task learning Kevin Ta, Shawn Ahn, John Stendahl, Jonathan Langdon, Albert Sinusas, James Duncan
	SPHARM-based statistical shape analysis of the tricuspid valve in hypoplastic left heart syndrome Jared Vicory, Christian Herz, David Allemang, Hannah Nam, Alana Cianciulli, Chad Vigil, Ye Han, Matthew Jolley, Beatriz Paniagua
	Multi-modality cardiac segmentation via mixing domains for unsupervised adaptation Fuping Wu, Lei Li, Xiahai Zhuang
	Uncertainty-aware training for cardiac resynchronisation therapy response prediction Tareen Dawood
	Cross-domain artefact correction of cardiac MRI Caner Ozer, Ilkay Oksuz
	Detection and classification of coronary artery plaques in coronary computed tomography angiography using 3D CNN Jun-Ting Chen, Yu-Cheng Huang, Holger Roth, Dong Yang, Chih-Kuo Lee, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou, Weichung Wang
	Inﬂuence of morphometric and mechanical factors in the conﬁguration of thoracic aorta ﬁnite element modeling Ruifen Zhang, Monica Sigovan, Patrick Clarysse
16:00 UTC	Regular papers (each: 2 min presentation, 8 min Q&A)
	Improved AI-based Segmentation of Apical and Basal Slices from Clinical Cine CMR Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew King, Bram Ruijsink, Esther Puyol-Antón
	Valve flattening with functional biomarkers for the assessment of mitral valve repair Paula Casademunt, Oscar Camara, Bart Bijnens, Hernán G. Morales
	Predicting 3D Cardiac Deformations With Point Cloud Autoencoders Marcel Beetz, Julius Ossenberg-Engels, Abhirup Banerjee, Vicente Grau
	Neural Plaque Angular Characterizer: Automated Quantification of Polar Distribution for Plaque Composition Hyungjoo Cho, Hyun-Seok Min, Soo-Jin Kang, Dongmin Choi, Hwiyoung Kim
	Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer Wolterink
	An Unsupervised 3D Recurrent Neural Networkfor Slice Misalignment Correction in CardiacMR Imaging Qi Chang, Zhennan Yan, Meng Ye, Kanski Mikael, Subhi Al’Aref, Leon Axel, Dimitris Metaxas
17:12 UTC	Prizes and closing

Key dates