Ahmad Ahmadi

Personal Information

Dipl. Ing. Univ. Seyed-Ahmad Ahmadi email phone +49 89 289 19405 fax +49 89 289 17059 address Institut für Informatik I-16 Technische Universität München Boltzmannstr. 3 85748 Garching b. München Germany room MI 03.13.056 skype

Publications

	C. Bichlmeier, B. Ockert, S.M. Heining, A. Ahmadi, N. Navab Stepping into the Operating Theater: ARAV - Augmented Reality Aided Vertebroplasty The 7th IEEE and ACM International Symposium on Mixed and Augmented Reality, Cambridge, UK, Sept. 15 - 18, 2008. (bib)
	A. Ahmadi, N. Padoy, S.M. Heining, H. Feußner, M. Daumer, N. Navab Introducing Wearable Accelerometers in the Surgery Room for Activity Detection 7. Jahrestagung der Deutschen Gesellschaft f{\"u}r Computer-und Roboter-Assistierte Chirurgie (CURAC 2008) (bib)
	J. Traub, A. Ahmadi, N. Padoy, L. Wang, S.M. Heining, E. Euler, P. Jannin, N. Navab Workflow Based Assessment of the Camera Augmented Mobile C-arm System International Workshop on Augmented Reality environments for Medical Imaging and Computer-aided Surgery (AMI-ARCS 2008), New York, NY, USA, September 2008 (bib)
	A. Ahmadi, T. Sielhorst, R. Stauder, M. Horn, H. Feußner, N. Navab Recovery of surgical workflow without explicit models Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI 2006), Copenhagen, Denmark, October 2006, pp. 420-428 (bib)

Open theses and projects

Current Projects

Discovery and Detection of Surgical Activity in Percutaneous Vertebroplasties In this project, we aim at discovering automatically the workflow of percutaneous vertebroplasty. The medical framework is quite different from a parallel project , where we analyze laparoscopic surgeries. Contrary to cholecystectomies where much information is provided by the surgical tools and by the endoscopic video, in vertebroplasties and kyphoplasties, we believe that the body and hand movement of the surgeon give a key insight into the surgical activity. Surgical movements like hammering of the trocar into the vertebra or the stirring of cement compounds are indicative of the current workflow phase. The objectives of this project are to acquire the workflow related signals using accelerometers, processing the raw signals and detecting recurrent patterns in order to objectively identify the low-level and high-level workflow of the procedure.

Surgical Workflow Analysis in Laparoscopy for Monitoring and Documentation Surgical workflow recovery is a crucial step towards the development of intelligent support systems in surgical environments. The objective of the project is to create a system which is able to recognize automatically the current steps of a surgical laparoscopic procedure using a set of signals recorded from the OR. The project adresses several issues such as the simultaneous recordings of various signals within the OR, the design of methods and algorithms for processing and interpreting the information, and finally the development of a convenient user interface to display context sensitive information inside the OR. The current clinical focus is on laparoscopic cholecystectomies but the concepts developed in the project also apply to laparoscopic surgeries of other kinds.

Analysis and Modeling of Actions for Advanced Medical Training Systems Providing feedback to trainees is one of the most important issues to support learning. This project researches how to give quantitative and visual feedback on the performance of a student when training on simulators or phantoms. Statistical analysis and probabilistic models are used to compare the performance of students and experts. Augmented Reality and video is used to give visual feedback like a synchronized replay of the student’s and the expert’s performance.