PubMed Health⌕ Search

Biomedical subjects

Magnus Eriksson

Publications and source records attributed to Magnus Eriksson.

5 recordsLinked to original sources

A haptic VR milling surgery simulator--using high-resolution CT-data.

A haptic virtual reality milling simulator using high resolution volumetric data is presented in this paper. We discuss the graphical rendering performed from an iso-surface generated using marching cubes with a hierarchical storage method to optimize for fast dynamic changes to the data during the milling process. We also present a stable proxy-based haptic algorithm used to maintain a tip position on the surface avoiding haptic fall-through.

Algorithms↗

Practical synthesis of unsymmetrical ureas from isopropenyl carbamates.

A very convenient method for the synthesis of unsymmetrical ureas is described, based on isopropenyl carbamates. The synthetic efficiency of traditional methods for urea formation, such as use of phosgene or alkyl and aryl carbamates, is limited by the formation of symmetrical urea side products or reaction reversibility. Isopropenyl carbamates react with amines cleanly and irreversibly and give unsymmetrical ureas in high yield and purity. This method is ideal for the rapid synthesis of compound libraries.

Carbamates↗

Haptic simulation of the milling process in temporal bone operations.

A VR-simulation system for educating surgeons of the temporal bone milling processes is presented in this paper. E.g. the milling process that occurs during the removal of certain cancer tumors in the brain. The research project is recently started up and this paper is an introduction to the bone milling simulation topic. We present how the graphical rendering of the temporal bone is done. Acquired data are managed using the Marching cubes algorithm to perform a visual representation. A re-production of iso-surfaces will represent the material removal occurred during the milling process. Force models are discussed and will be implemented in the H3D API, which is used to control the virtual simulation and collision detection. Equipment, implementation and future work are also presented in the paper.

Brain Neoplasms↗

Iodotrimethylsilane-Promoted 1,4-Addition of Copper Acetylides to alpha,beta-Unsaturated Ketones and Aldehydes.

In the presence of iodotrimethylsilane (TMSI) and lithium iodide in tetrahydrofuran, the otherwise unreactive copper acetylides add to enones present as s-trans conformers to provide good yields of the silyl enol ethers of beta-acetylido carbonyl compounds. Typically good substrates are 2-cyclopentenone, 2-cyclohexenone, alpha,beta-unsaturated aldehydes, and beta-alkoxy-alpha-enones. Copper acetylide reagents prepared from CuI and an alkynyllithium give considerably higher yields than those prepared from CuBr or CuCN. Iodotrimethylsilane is by far the most efficient silane, although trimethylsilyl triflate is useful in some cases.

Journal Article↗