63736 2025 eng 1 8 14 article Elsevier B.V. 1 -- -- -- We present a 3D image registration technique for non-linear deformation estimation in Additive Manufacturing processes. The methodology involves comparing X-ray Computed Tomography (XCT) data with Computer Aided Design (CAD) models for Triply Periodic Minimal Surface (TPMS) lattices and employs the Chamfer distance to refine mesh non-linear deformations. Additive Manufacturing Letters 2772-3690 10.1016/j.addlet.2025.100299 urn:nbn:de:kobv:b43-637367 true {"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T00:40:09Z","timestamp":1752626409853,"version":"3.41.2"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Additive Manufacturing Letters"],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1016\/j.addlet.2025.100299","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T22:57:44Z","timestamp":1752620264000},"page":"100299","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Chamfer distance for non-linear registration of Triply Periodic Minimal Surface lattices"],"prefix":"10.1016","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5293-9499","authenticated-orcid":false,"given":"Michela","family":"Lapenna","sequence":"first","affiliation":[]},{"given":"Francesco","family":"Faglioni","sequence":"additional","affiliation":[]},{"given":"Keerthana","family":"Chand","sequence":"additional","affiliation":[]},{"given":"Bardia","family":"Hejazi","sequence":"additional","affiliation":[]},{"given":"Rita","family":"Fioresi","sequence":"additional","affiliation":[]},{"given":"Giovanni","family":"Bruno","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.addlet.2025.100299_b1","first-page":"1","article-title":"Review on image registration methods for the quality control in additive manufacturing","author":"Chand","year":"2025","journal-title":"Prog. Addit. Manuf."},{"issue":"6","key":"10.1016\/j.addlet.2025.100299_b2","doi-asserted-by":"crossref","DOI":"10.1115\/1.4054202","article-title":"Additive manufacturing in situ and ex situ geometric data registration","volume":"22","author":"Feng","year":"2022","journal-title":"J. Comput. Inf. Sci. Eng."},{"year":"2021","series-title":"Image registration and matching error in 2d and 3d for laser powder bed fusion","author":"Lang","key":"10.1016\/j.addlet.2025.100299_b3"},{"issue":"4","key":"10.1016\/j.addlet.2025.100299_b4","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1080\/00224065.2021.1926377","article-title":"Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring","volume":"54","author":"Colosimo","year":"2022","journal-title":"J. Qual. Technol."},{"key":"10.1016\/j.addlet.2025.100299_b5","article-title":"A learning framework for deformable medical image registration","author":"VoxelMorph","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"year":"2021","series-title":"Attention for image registration (air): an unsupervised transformer approach","author":"Wang","key":"10.1016\/j.addlet.2025.100299_b6"},{"key":"10.1016\/j.addlet.2025.100299_b7","first-page":"88","article-title":"Non-iterative coarse-to-fine registration based on single-pass deep cumulative learning","volume":"2022","author":"Meng","year":"2022","journal-title":"Med. Image Comput. Comput. Assist. Interv. \u2013 MICCAI"},{"year":"2024","series-title":"Deep implicit optimization enables robust learnable features for deformable image registration","author":"Jena","key":"10.1016\/j.addlet.2025.100299_b8"},{"key":"10.1016\/j.addlet.2025.100299_b9","series-title":"International Joint Conference on Artificial Intelligence","article-title":"Parametric correspondence and chamfer matching: Two new techniques for image matching","author":"Barrow","year":"1977"},{"year":"2025","series-title":"Occlusion-aware non-rigid point cloud registration via unsupervised neural deformation correntropy","author":"Zhao","key":"10.1016\/j.addlet.2025.100299_b10"},{"key":"10.1016\/j.addlet.2025.100299_b11","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2463","article-title":"A point set generation network for 3d object reconstruction from a single image","author":"Fan","year":"2017"},{"key":"10.1016\/j.addlet.2025.100299_b12","series-title":"Proceedings of the 35th International Conference on Neural Information Processing Systems","article-title":"Neural scene flow prior","author":"Li","year":"2021"},{"key":"10.1016\/j.addlet.2025.100299_b13","series-title":"Proceedings of the 36th International Conference on Neural Information Processing Systems","article-title":"Non-rigid point cloud registration with neural deformation pyramid","author":"Li","year":"2022"},{"key":"10.1016\/j.addlet.2025.100299_b14","doi-asserted-by":"crossref","unstructured":"S. Prokudin, Q. Ma, M. Raafat, J. Valentin, S. Tang, Dynamic point fields, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, ICCV, 2023, pp. 7964\u20137976.","DOI":"10.1109\/ICCV51070.2023.00732"},{"issue":"6","key":"10.1016\/j.addlet.2025.100299_b15","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1109\/34.24792","article-title":"Principal warps: Thin-plate splines and the decomposition of deformations","volume":"11","author":"Bookstein","year":"1992","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"10.1016\/j.addlet.2025.100299_b16","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/42.796284","article-title":"Nonrigid registration using free-form deformations: Application to breast mr images","volume":"18","author":"Rueckert","year":"2003","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.addlet.2025.100299_b17","doi-asserted-by":"crossref","DOI":"10.1088\/2631-7990\/ac5be6","article-title":"Triply periodic minimal surface (tpms) porous structures: from multi-scale design, precise additive manufacturing to multidisciplinary applications","volume":"4","author":"Feng","year":"2022","journal-title":"Int. J. Extrem. Manuf."},{"key":"10.1016\/j.addlet.2025.100299_b18","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.msea.2016.06.013","article-title":"A mechanical property evaluation of graded density al-si10-mg lattice structures manufactured by selective laser melting","volume":"670","author":"Maskery","year":"2016","journal-title":"Mater. Sci. Eng.: A"},{"key":"10.1016\/j.addlet.2025.100299_b19","first-page":"53","article-title":"Compressive properties of ti-6al-4v auxiliary mesh structures for energy absorption applications","volume":"27","author":"Yang","year":"2019","journal-title":"Addit. Manuf."},{"key":"10.1016\/j.addlet.2025.100299_b20","article-title":"Topology-mechanical property relationship of 3d printed strut, skeletal, and sheet-based periodic metallic cellular materials","volume":"36","author":"Al-Ketan","year":"2020","journal-title":"Addit. Manuf."},{"key":"10.1016\/j.addlet.2025.100299_b21","doi-asserted-by":"crossref","DOI":"10.1016\/j.tws.2024.112312","article-title":"Enhanced mechanical properties of sandwich panels via integrated 3D printing of continuous fiber face sheet and TPMS core","volume":"204","author":"Li","year":"2024","journal-title":"Thin-Walled Struct."},{"issue":"9","key":"10.1016\/j.addlet.2025.100299_b22","doi-asserted-by":"crossref","DOI":"10.1002\/adem.201800029","article-title":"Microarchitected stretching-dominated mechanical metamaterials with minimal surface topologies","volume":"20","author":"Al-Ketan","year":"2018","journal-title":"Adv. Eng. Mater."},{"year":"2022","series-title":"Design of Functionally Graded Parts for Additive Manufacturing: Methods and Tools for Variable Density Triply Periodic Minimal Surfaces","author":"Salazar","key":"10.1016\/j.addlet.2025.100299_b23"},{"key":"10.1016\/j.addlet.2025.100299_b24","article-title":"X-ray flat-panel detector geometry correction to improve dimensional computed tomography measurements","volume":"31","author":"Luethi","year":"2019","journal-title":"Meas. Sci. Technol."},{"issue":"1","key":"10.1016\/j.addlet.2025.100299_b25","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1007\/s10921-025-01174-0","article-title":"A comparative study of rigid three-dimensional image registration methods for powder bed fusion with laser beam of metals using a gold standard approach","volume":"44","author":"Chand","year":"2025","journal-title":"J. Nondestruct. Eval."},{"key":"10.1016\/j.addlet.2025.100299_b26","doi-asserted-by":"crossref","first-page":"2445","DOI":"10.1007\/s12206-014-0601-9","article-title":"Mesh generation of porous metals from x-ray computed tomography volume data","volume":"28","author":"Niu","year":"2013","journal-title":"J. Mech. Sci. Technol."},{"key":"10.1016\/j.addlet.2025.100299_b27","doi-asserted-by":"crossref","unstructured":"C. Koc, O. Pinarer, S. Turhan, 3d mesh model generation from ct and mri data, in: 2021 IEEE International Conference on Big Data (Big Data), 2022, pp. 4725\u20134730.","DOI":"10.1109\/BigData52589.2021.9671951"},{"key":"10.1016\/j.addlet.2025.100299_b28","unstructured":"X. Zheng, G. Xu, 3d finite element meshing from imaging data, in: Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, 2009, pp. 1\u20136."},{"year":"2016","series-title":"An overview of gradient descent optimization algorithms","author":"Ruder","key":"10.1016\/j.addlet.2025.100299_b29"},{"year":"2020","series-title":"Deform a source mesh to form a target mesh using 3d loss functions","author":"Facebook AI Research","key":"10.1016\/j.addlet.2025.100299_b30"},{"key":"10.1016\/j.addlet.2025.100299_b31","doi-asserted-by":"crossref","DOI":"10.1007\/s00170-024-13514-x","article-title":"New multi-function building plate for improving metal laser powder bed fusion by enhancing the alignment accuracy of in-process monitoring data, computed tomography measurements, and building volume geometry","volume":"132","author":"Zanini","year":"2024","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"10.1016\/j.addlet.2025.100299_b32","article-title":"New experimental approach for local measurements of effective layer thickness, powder bed density and volumetric energy density to enhance metal laser powder bed fusion","volume":"93","author":"Zanini","year":"2025","journal-title":"Addit. Manuf."},{"issue":"7","key":"10.1016\/j.addlet.2025.100299_b33","doi-asserted-by":"crossref","DOI":"10.3390\/mi14071480","article-title":"A review of the residual stress generation in metal additive manufacturing: Analysis of cause, measurement, effects, and prevention","volume":"14","author":"Bastola","year":"2023","journal-title":"Micromachines"},{"issue":"C","key":"10.1016\/j.addlet.2025.100299_b34","article-title":"A new procedure for implementing the modified inherent strain method with improved accuracy in predicting both residual stress and deformation for laser powder bed fusion","volume":"47","author":"Dong","year":"2021","journal-title":"Addit. Manuf."},{"key":"10.1016\/j.addlet.2025.100299_b35","doi-asserted-by":"crossref","first-page":"4575","DOI":"10.1007\/s00170-024-13255-x","article-title":"A new variant of the inherent strain method for the prediction of distortion in powder bed fusion additive manufacturing processes","volume":"131","author":"Pourabdollah","year":"2024","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"10.1016\/j.addlet.2025.100299_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmecsci.2024.108983","article-title":"Multi-scale numerical analysis of damage modes in 3D stitched composites","volume":"266","author":"Li","year":"2024","journal-title":"Int. J. Mech. Sci."},{"key":"10.1016\/j.addlet.2025.100299_b37","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-019-56008-7","article-title":"Semantic segmentation of synchrotron tomography of multiphase al-si alloys using a convolutional neural network with a pixel-wise weighted loss function","author":"Strohmann","year":"2019","journal-title":"Sci. Rep."},{"issue":"2","key":"10.1016\/j.addlet.2025.100299_b38","doi-asserted-by":"crossref","DOI":"10.3390\/jimaging9020022","article-title":"Synthetic data generation for automatic segmentation of x-ray computed tomography reconstructions of complex microstructures","volume":"9","author":"Tsamos","year":"2023","journal-title":"J. Imaging"},{"key":"10.1016\/j.addlet.2025.100299_b39","doi-asserted-by":"crossref","DOI":"10.1007\/s42452-024-05985-0","article-title":"Geometric deep learning for enhanced quantitative analysis of microstructures in x-ray computed tomography data","volume":"6","author":"Lapenna","year":"2024","journal-title":"Discov. Appl. Sci."},{"issue":"16","key":"10.1016\/j.addlet.2025.100299_b40","doi-asserted-by":"crossref","first-page":"6907","DOI":"10.1007\/s10853-025-10834-5","article-title":"Vision GNN (ViG) architecture for a fine-tuned segmentation of a complex al\u2013si metal matrix composite XCT volume","volume":"60","author":"Lapenna","year":"2025","journal-title":"J. Mater. Sci."}],"container-title":["Additive Manufacturing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2772369025000337?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2772369025000337?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T00:13:26Z","timestamp":1752624806000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2772369025000337"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":40,"alternative-id":["S2772369025000337"],"URL":"https:\/\/doi.org\/10.1016\/j.addlet.2025.100299","relation":{},"ISSN":["2772-3690"],"issn-type":[{"type":"print","value":"2772-3690"}],"subject":[],"published":{"date-parts":[[2025,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Chamfer distance for non-linear registration of Triply Periodic Minimal Surface lattices","name":"articletitle","label":"Article Title"},{"value":"Additive Manufacturing Letters","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.addlet.2025.100299","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"100299"}} journal-article https://www.elsevier.com/tdm/userlicense/1.0/ crossref PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorIdentifierOrcid_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorFirstName_4,PersonAuthorLastName_4,PersonAuthorFirstName_5,PersonAuthorLastName_5,PersonAuthorFirstName_6,PersonAuthorLastName_6,PublisherName,TitleMain_1,Language,TitleParent_1,ArticleNumber,Volume,PublishedYear,IdentifierIssn,Enrichmentlocal_crossrefLicence doi-import 04.08.2025 Creative Commons - CC BY - Namensnennung 4.0 International Michela Lapenna Francesco Faglioni Keerthana Chand Bardia Hejazi Rita Fioresi Giovanni Bruno eng uncontrolled X-ray Computed tomography eng uncontrolled Defects eng uncontrolled Machine Learning eng uncontrolled Digital Twin eng uncontrolled Registration 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/63736/1-s2.0-S2772369025000337-main.pdf