Region-of-interest video coding for enabling surgical telementoring in low-bandwidth scenarios

Surgical telementoring can prove very effective in a military surgical paradigm where less experienced surgeons deployed at forward sites can be mentored by more experienced specialists from a rearward remote site, thus enhancing in-theater surgical options by bringing scarce expertise into play. However, lack of sufficient bandwidth in active military theaters limit the ability to implement real-time video communication capability, and hence render such clinically beneficial programs undeliverable. Region-of-interest (ROI) video-coding presents a possible solution to this problem. By allocating more bits to the ROI as compared to the rest of the frame (also known as background (BG)), ROI encoding of surgical videos can increase the bandwidth perceived by the telementoring application. In this paper, we introduce a flexible and interactive ROI in a low-complexity, H.264-compliant and diagnostically lossless (DL) fashion to enable remote mentoring of surgical procedures in very low-bandwidth scenarios. Further, subjective evaluations by surgeons indicate that ROI-encoded videos are preferred over the uniformly-encoded videos for the purpose of surgical evaluation and telementoring.

[1]  M. Talamini,et al.  Long distance telementoring. A novel tool for laparoscopy aboard the USS Abraham Lincoln. , 1999, Surgical endoscopy.

[2]  J. Rosser,et al.  Telementoring: an application whose time has come , 2007, Surgical Endoscopy.

[3]  Zhiping Lin,et al.  Applications and improvement of H.264 in medical video compression , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[4]  Max E. Stachura,et al.  Delivering Diagnostic Quality Video over Mobile Wireless Networks for Telemedicine , 2009, International journal of telemedicine and applications.

[5]  King Ngi Ngan,et al.  Foreground/background bit allocation for region-of-interest coding , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[6]  Loren Merritt,et al.  X264: A HIGH PERFORMANCE H.264/AVC ENCODER , 2006 .

[7]  Yu-Kwong Kwok,et al.  On a region-of-interest based approach to robust wireless video transmission , 2004, 7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings..

[8]  Alexander Q Ereso,et al.  Live transference of surgical subspecialty skills using telerobotic proctoring to remote general surgeons. , 2009, Journal of the American College of Surgeons.

[9]  Ronald K. Poropatich,et al.  Operational Use of U.S. Army Telemedicine Information Systems in Iraq and Afghanistan - Considerations for NATO Operations , 2010 .

[10]  Jean-Marie Moureaux,et al.  Subjective MPEG2 compressed video quality assessment: Application to Tele-surgery , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[11]  P G Schulam,et al.  Telesurgical mentoring. Initial clinical experience. , 1998, Surgical endoscopy.

[12]  Peter Lambert,et al.  Flexible macroblock ordering as a content adaptation tool in H.264/AVC , 2005, SPIE Optics East.

[13]  Peter Schelkens,et al.  An Implementation of multiple Region-Of-Interest Models in H.264/AVC , 2008 .

[14]  Cedric Nishan Canagarajah,et al.  Multiple Priority Region of Interest Coding with H.264 , 2006, 2006 International Conference on Image Processing.

[15]  N. Tsapatsoulis,et al.  Region of Interest Video Coding for Low bit-rate Transmission of Carotid Ultrasound Videos over 3G Wireless Networks , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.