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X-ray Synthesis Based on Triangular Mesh Models Using GPU-Accelerated Ray Tracing for Multi-modal Breast Image Registration

Maul, J.; Said, S. ORCID iD icon; Ruiter, N.; Hopp, T. ORCID iD icon


For image registration of breast MRI and X-ray mammography we apply detailed biomechanical models. Synthesizing X-ray mammograms from these models is an important processing step for optimizing registration parameters and deriving images for multi-modal diagnosis. A fast computation time for creating synthetic images is essential to enable a clinically relevant application. In this paper we present a method to create synthetic X-ray attenuation images with an hardware-optimized ray tracing algorithm on recent graphics processing units’ (GPU) ray tracing (RT) cores. The ray tracing algorithm is able to calculate the attenuation of the X-rays by tracing through a triangular polygon-mesh. We use the Vulkan API, which enables access to RT cores. One frame for a triangle mesh with over 5 million triangles in the mesh and a detector resolution of 1080×1080 can be calculated and transferred to and from the GPU in about 0.76 s on NVidia RTX 2070 Super GPU. Calculation duration of an interactive application without the transfer overhead allows real time application with more than 30 frames per second (fps) even for very large polygon models. The presented method is able to calculate synthetic X-ray images in a short time and has the potential for real-time applications. ... mehr

Postprint §
DOI: 10.5445/IR/1000138873
Veröffentlicht am 01.01.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2021
Sprache Englisch
Identifikator ISBN: 978-3-030-87592-3
ISSN: 0302-9743, 1611-3349
KITopen-ID: 1000138873
HGF-Programm 54.12.03 (POF IV, LK 01) Science Systems
Erschienen in Simulation and Synthesis in Medical Imaging: 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Ed.: D. Svoboda
Veranstaltung 6th International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI 2021), Online, 27.09.2021
Verlag Springer Verlag
Seiten 87-96
Serie Lecture Notes in Computer Science (LNCS) ; 12965
Nachgewiesen in Dimensions
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