Automated Detection of 3D Landmarks for the Elimination of Non-Biological Variation in Geometric Morphometric Analyses

D Aneja, SR Vora, E D Camci, LG Shapiro, TC Cox

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

14 Citations (Scopus)


Landmark-based morphometric analyses are used by anthropologists, developmental and evolutionary biologists to understand shape and size differences (eg. in the cranioskeleton) between groups of specimens. The standard, labor intensive approach is for researchers to manually place landmarks on 3D image datasets. As landmark recognition is subject to inaccuracies of human perception, digitization of landmark coordinates is typically repeated (often by more than one person) and the mean coordinates are used. In an attempt to improve efficiency and reproducibility between researchers, we have developed an algorithm to locate landmarks on CT mouse hemi-mandible data. The method is evaluated on 3D meshes of 28-day old mice, and results compared to landmarks manually identified by experts. Quantitative shape comparison between two inbred mouse strains demonstrate that data obtained using our algorithm also has enhanced statistical power when compared to data obtained by manual landmarking.
Original languageEnglish
Title of host publicationIEEE 28th International Symposium on Computer-Based Medical Systems (CBMS 2015)
EditorsC Traina Jr, P P Rodrigues, B Kane, P M de Azevedo Marques, A J M Traina
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)9781467367752
Publication statusPublished - 2015
EventIEEE International Symposium on Computer Based Medical Systems (CBMS) 2015 - University of São Paulo, São Paulo, Brazil
Duration: 22 Jun 201525 Jun 2016
Conference number: 28th (Proceedings)


ConferenceIEEE International Symposium on Computer Based Medical Systems (CBMS) 2015
Abbreviated titleCBMS 2015
CitySão Paulo
Internet address

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