@article{BirkenmaierDorniaLehleetal., author = {Birkenmaier, Clemens and Dornia, Christian and Lehle, Karla and M{\"u}ller, Thomas and Gruber, Michael and Philipp, Alois and Krenkel, Lars}, title = {Analysis of Thrombotic Deposits in Extracorporeal Membrane Oxygenators by High-resolution Microcomputed Tomography: A Feasibility Study}, series = {ASAIO Journal / American Society for Artificial Internal Organs}, volume = {66}, journal = {ASAIO Journal / American Society for Artificial Internal Organs}, number = {8}, publisher = {Lippincott Williams \& Wilkins}, issn = {1538-943X}, doi = {10.1097/MAT.0000000000001089}, pages = {922 -- 928}, abstract = {Coagulative disorders, especially clotting during extracorporeal membrane oxygenation, are frequent complications. Direct visualization and analysis of deposits in membrane oxygenators using computed tomography (CT) may provide an insight into the underlying mechanisms causing thrombotic events. However, the already established multidetector CT1 (MDCT) method shows major limitations. Here, we demonstrate the feasibility of applying industrial micro-CT (μCT) to circumvent these restrictions. Three clinically used membrane oxygenators were investigated applying both MDCT and μCT. The scans were analyzed in terms of clot volume and local clot distribution. As validation, the clot volume was also determined from the fluid volume, which could be filled into the respective used oxygenator compared to a new device. In addition, cross-sectional CT images were compared with crosscut oxygenators. Based on the μCT findings, a morphological measure (sphericity) for assessing clot structures in membrane oxygenators is introduced. Furthermore, by comparing MDCT and μCT results, an augmentation of the MDCT method is proposed, which allows for improved clot volume determination in a clinical setting.}, language = {en} } @inproceedings{CantalloubeGomezGonzalezAbsiletal., author = {Cantalloube, Faustine and Gomez-Gonzalez, Carlos and Absil, Olivier and Cantero, Carles and Bacher, Regis and Bonse, Markus and Bottom, Michael and Dahlqvist, Carl-Henrik and Desgrange, C{\´e}lia and Flasseur, Olivier and Fuhrmann, Thomas and Henning, Thomas H. and Jensen-Clem, Rebecca and Kenworthy, Matthew and Mawet, Dimitri and Mesa, Dino and Meshkat, Tiffany and Mouillet, David and M{\"u}ller, Andr{\´e} and Nasedkin, Evert and Pairet, Benoit and Pi{\´e}rard, S{\´e}bastien and Ruffio, Jean-Baptiste and Samland, Matthias and Stone, Jordan and van Droogenbroeck, Marc}, title = {Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection}, series = {Adaptive Optics Systems VII : 14-22 December 2020, online only, United States}, booktitle = {Adaptive Optics Systems VII : 14-22 December 2020, online only, United States}, editor = {Schmidt, Dirk and Schreiber, Laura and Vernet, Elise}, publisher = {SPIE}, isbn = {9781510636835}, doi = {10.1117/12.2574803}, pages = {321}, abstract = {The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated repository (Zenodo), data from several high-contrast ground-based instruments worldwide in which we injected synthetic planetary signals. The data challenge is hosted on the CodaLab competition platform, where participants can upload their results. The specifications of the data challenge are published on our website https://exoplanet-imaging-challenge.github.io/. The first phase, launched on the 1st of September 2019 and closed on the 1st of October 2020, consisted in detecting point sources in two types of common data-set in the field of high-contrast imaging: data taken in pupil-tracking mode at one wavelength (subchallenge 1, also referred to as ADI) and multispectral data taken in pupil-tracking mode (subchallenge 2, also referred to as ADI+mSDI). In this paper, we describe the approach, organisational lessons-learnt and current limitations of the data challenge, as well as preliminary results of the participants' submissions for this first phase. In the future, we plan to provide permanent access to the standard library of data sets and metrics, in order to guide the validation and support the publications of innovative image processing algorithms dedicated to high-contrast imaging of planetary systems.}, language = {en} }