In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2021 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Maschinelles Lernen, Bildsegmentierung und Bildanalyse, Visualisierung und Animation, Zeitreihenanalyse, Computerunterstützte Diagnose, Biomechanische Modellierung, Validierung und Qualitätssicherung, Bildverarbeitung in der Telemedizin u.v.m. 

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 17 full papers presented were carefully reviewed and selected from 21 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography, and deep learning for general image reconstruction.

This monograph on the Central European Magdalenian aims to provide a comprehensive overview of the archaeological record of this period. It sheds new light on five regional groups between the Rhône valley to the west and the Vistula-valley to the east, which existed roughly between 20,000 and 14,000 years ago. Readers will discover that these groups are characterized with regard to their environmental setting (including faunal and vegetational aspects), lithic raw material and mollusk shell procurement, typology, technology and artesian craftworks. The work also explores an alternative interpretation of bidirectional recolonization from both Franco-Cantabria and Eastern Central Europe after the Last Glacial Maximum. This book will appeal to researchers and scholars in archaeology and cognate fields.

Ausgehend von einer Entwicklung thermisch aktivierter Gebäudehüllelemente aus nahezu sortenreinen, zementgebundenen Werkstoffen, die jedoch aus einer tragenden Innenschale mit aufgebrachter Dämmung aus ultraleichtem, mineralisiertem Schaum sowie einer Vorhangfassade aus sehr dünnen, mikrobewehrten UHPC-Platten bestehen, wird die Frage diskutiert, inwiefern sich derartige Bauteile auch als tragende Sandwichelemente umsetzen lassen. Hierzu wird in einem ersten Schritt der mögliche Kerndämmstoff aus ultraleichtem, zementgebundenem Schaum mechanisch untersucht und die für eine Sandwichanwendung relevanten Werkstoffkenngrößen ermittelt.  Für eine mögliche Berechnung von Sandwichelementen aus mineralisiertem, zementösem Schaum werden aus der Literatur bekannte Sandwichtheorien aufbereitet und im Hinblick auf ihre Anwendbarkeit bei einem derart schubweichen Kernmaterial sowie in Bezug auf den Rechenaufwand und die daraus generierte Genauigkeit der Ergebnisse miteinander verglichen und bewertet. Im Hinblick auf die Klimaschutzziele sollte bei allen neuartigen Konstruktionen immer auch die Frage des ökologischen Fußabdrucks gestellt werden. Dies erfolgt im Rahmen einer Produktökobilanzierung des mineralisierten Schaumes, durch die Ermittlung der herstellungsbedingten CO2 – äquivalenten Emissionen sowie des Primärenergiebedarfs und eines Vergleichs mit anderen Kerndämmstoffen. Die sortenreine Trennung des Schaumes von den Deckschichten kann für die Kombination mit Stahlbeton nachgewiesen werden. Die Umsetzung als Sandwichelement erfolgt abschließend mit funktionalisierten Deckschichten aus Wabenplatten, die über eine Trägerschicht aus Gipsputz mit dem Schaum verbunden werden, wobei die hohe Schwindneigung des Schaumes sich aktuell als Hindernis für eine dauerhafte, robuste Umsetzung zeigt.

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore.The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.

This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.

This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book. ++++ The below data was compiled from various identification fields in the bibliographic record of this title. This data is provided as an additional tool in helping to ensure edition identification: ++++ Le Majeriane, Ovvero, Lettere Sul Bello Ideale, In Risposta Al Libro Della Imitazione Pittorica Del Cav. A. Majer 3 Giuseppe Carpani, Andrea Maier

This is a reproduction of a book published before 1923. This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.