This thesis presents a novel anatomy mapping tool named Computer Assisted Surgical Anatomy Mapping (CASAM). It allows researchers to map complex anatomy of multiple specimens and compare their location and course. Renditions such as safe zones or danger zones can be visualized, summarizing complex anatomy into comprehensive images, making anatomy research more Accessible.
The web-based version of CASAM is used for Personalized Teaching, giving individual feedback on incision lines drawn during surgical courses. It also provides a platform for future International Collaboration between anatomical wetlabs, standardizing anatomy research.
The current algorithms used in CASAM are verified and also ready to map complex 3D Anatomy. Future iterations of CASAM will extend its use to everyday surgical practice and tailor-made surgery.

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G.J. Kleinrensink (Gert Jan) , E.T. Walbeehm (Erik) , D. den Hartog (Dennis)
Erasmus University Rotterdam
Department of Neuroscience

Kerver, A. (2017, September 12). Computer assisted surgical anatomy mapping : applications in surgical anatomy research, tailor-made surgery and presonalized teaching. Retrieved from

Additional Files
stellingen.pdf , 61kb
chapter_1.pdf Final Version , 17mb
chapter_2_1.pdf Final Version , 4mb
chapter_2_2.pdf Final Version , 6mb
chapter_2_3.pdf Final Version , 8mb
chapter_2_4.pdf Final Version , 7mb
chapter_2_5.pdf Final Version , 5mb
chapter_2_6.pdf Final Version , 8mb
chapter_2_7.pdf Final Version , 7mb
chapter_2_8.pdf Final Version , 11mb
chapter_3_1.pdf Final Version , 6mb
chapter_3_2.pdf Final Version , 6mb
chapter_3_3.pdf Final Version , 4mb
chapter_3_4.pdf Final Version , 9mb
general_introduction.pdf Final Version , 3mb
historical_overview.pdf Final Version , 12mb
samenvatting.pdf Final Version , 3mb
summary.pdf Final Version , 3mb

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