62449 2025 eng 1 27 article Springer Science and Business Media LLC 1 -- -- -- A critical challenge in Additive Manufacturing is to ensure the safety and dimensional accuracy of produced parts. Since quality control is made by means of different online and offline imaging techniques (e.g. Thermography, X-ray and Optical Computer Tomography), image registration plays an important role in addressing these challenges. This paper introduces the main motivation, challenges, and research gaps of image registration in Additive Manufacturing. Furthermore, it introduces the main transformations, registration methods, similarity matrices and accuracy measurement. The main aim of the paper is to present a comprehensive review on the available methods for image registration in Additive Manufacturing based on the measurement techniques. Various registration methods, including landmark-based, point cloud-based, image intensity-based, and shape-based techniques, are examined in their applications for quality control, defect detection, and distortion quantification. Progress in Additive Manufacturing 10.1007/s40964-024-00932-2 urn:nbn:de:kobv:b43-624495 2363-9520 true ok journal-article publish 03.02.2025 Creative Commons - CC BY - Namensnennung 4.0 International Keerthana Chand Tobias Fritsch Simon Oster Alexander Ulbricht Giovanni Bruno eng uncontrolled Image processing eng uncontrolled Image fusion eng uncontrolled Computed tomography eng uncontrolled Computer-aided design eng uncontrolled Additive manufacturing Ingenieurwissenschaften und zugeordnete Tätigkeiten 8 Zerstörungsfreie Prüfung 8.5 Röntgenbildgebung Material Verlagsliteratur Datei für die Öffentlichkeit verfügbar ("Open Access") Wissenschaftliche Artikel der BAM Additive Fertigung Bundesanstalt für Materialforschung und -prüfung (BAM) https://opus4.kobv.de/opus4-bam/files/62449/s40964-024-00932-2.pdf