Visual computing for medical diagnosis and treatment

Jan Klein, O. Friman, M. Hadwiger, B. Preim, F. Ritter, A. Vilanova, G. Zachmann, D. Bartz

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)
4 Downloads (Pure)

Abstract

Diagnostic algorithms and efficient visualization techniques are of major importance for preoperative decisions,intra-operative imaging and image-guided surgery.Complex diagnostic decisions arecharacterized by a high information flow and fast decisions, requiring efficient and intuitive presentation ofcomplex medical data and precision in the visualization. For intra-operative medical treatment, the pre-operative visualization results of the diagnostic systems have to be transferred to thepatient on the operation room table.Via augmented reality,additional information of the hiddenregions can be displayed virtually.This state-of-the-art report summarizes visual computing algorithmsfor medical diagnosis and treatment.After starting with direct volume rendering and tagged volumerendering as general techniques for visualizing anatomica lstructures,we go into more detai lbyfocusing on the visualization of tissue and vessel structures.Afterwards,algorithms and techniques thatare used for medical treatment in the context of image-guided surgery,intra-operative imaging andaugmented reality are discussed and reviewed.
Original languageEnglish
Pages (from-to)554-565
JournalComputers and Graphics
Volume33
Issue number4
DOIs
Publication statusPublished - 2009

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