Compression evaluation of surgery video recordings retaining diagnostic credibility (compression evaluation of surgery video)
Purchase on Springer.com
$39.95 / €34.95 / £29.95*
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.
Wider dissemination of medical digital video libraries is affected by two correlated factors, resource effective content compression that directly influences its diagnostic credibility. It has been proved that it is possible to meet these contradictory requirements halfway for long-lasting and low motion surgery recordings at compression ratios close to 100 (bronchoscopic procedures were a case study investigated). As the main supporting assumption, it has been accepted that the content can be compressed as far as clinicians are not able to sense a loss of video diagnostic fidelity (a visually lossless compression).
Different market codecs were inspected by means of the combined subjective and objective tests toward their usability in medical video libraries. Subjective tests involved a panel of clinicians who had to classify compressed bronchoscopic video content according to its quality under the bubble sort algorithm. For objective tests, two metrics (hybrid vector measure and hosaka Plots) were calculated frame by frame and averaged over a whole sequence.
- S.T.C. Wong, and D. Tjandra, “A digital library for biomedical imaging on the Internet”, IEEE Commun. Mag. 37, 84–91 (1999). CrossRef
- R. Tadeusiewicz and M.R. Ogiela, Medical image understanding technology. Artificial intelligence and soft-computing for image understanding, Springer-Verlag, Berlin, 2004.
- H. Miron, and E.Z. Blumenthal, “Bridging analog and digital video in the surgical setting”, J. Cataract. Refr. Surg. 29, 1874–1877 (2003). CrossRef
- N.M. Hamilton, I. Frade, P. Duguid, J. Furnace, and A.D. Kindley, “Digital video for networked CAL delivery”, J. Audiov. Media. Med. 18, 59–63 (1995).
- S.A. Kumar, and H. Pal, “Digital video recording of cardiac surgical procedures”, Ann. Thorac. Surg. 77, 1063–1065 (2004). CrossRef
- P.A. Reynolds, and R. Mason, “On-line video media for continuing professional development in dentistry”, Comput. Educ. 39, 65–98 (2002). CrossRef
- S.M. Green, D. Voegeli, M. Harrison, J. Phillips, J. Knowles, M. Weaver, and K. Shephard, “Evaluating the use of streaming video to support student learning in a first-year life sciences course for student nurses”, Nurs. Educ. Today 23, 255–261 (2003). CrossRef
- C.D. Wright, Digital Library Technology Trends, Sun Microsystems Inc., 2002.
- P.S. Greene, “Streaming video for the annals Internet readers”, Ann. Thorac. Surg. 77, 1063–1065 (2004). CrossRef
- J. Strom, “Overcoming barriers for teaching and learning”, in Proc. Int. Symp. Educational Conferencing, Banff, 2002.
- R.M. Lavitan, T.S. Goldman, D.A. Bryan, F. Shofer, and A. Harlich, “Training with video imaging improves the initial intubation success rates of paramedic trainees in an operating room setting”, Ann. Emerg. Med. 37, 46–50 (2001). CrossRef
- J. Leung, G. D’Onofrio, B. Duncan, R. Trepp, N. Vasques, and J. Schriver, “Apply streaming audio and video technology to enhance emergency physician education”, Acad. Emerg. Med. 9, 1059 (2002). CrossRef
- J.M. Wiecha, R. Gramling, P. Joachim, and H. Vanderschmidt, “Collaborative e-learning using streaming video and asynchronous discussion boards to teach the cognitive foundation of medical interviewing: A case study”, J. Med. Internet Res. 5, 13 (2003). CrossRef
- A. Gandsas, K. McIntire, G. Palli, and A. Park, “Live streaming video for medical education: a laboratory model”, J. Laparoendosc. Adv. A12, 377–382 (2002). CrossRef
- M. Leszczuk, “Accessing digital video libraries from mobile terminals in 3G networks”, in Proc. Advanced Technologies, Applications and Market Strategies for 3G ATAMS’2001, pp. 164–171, Kraków, 2001.
- A. Przelaskowski, Wavelet-based Image Data Compression (Falkowe metody kompresji danych obrazowych), Publishing House of the Warsaw University of Technology (Oficyna Wydawnicza PW), pp. 149–190, Warsaw, 2002.
- C. Dafonte, A. Gomez, A. Castro, and B. Arcay, “Scientific papers: a proposal for improving ICU assistance through intelligent monitoring and supervision”, Technol. Health. Care 10, 464–466, 2002.
- Rubis Project, Healthcare Telematics Projects, Rubis Project Final Report, pp. 17–19, Rubis Project, 2001.
- B. Malassagne, D. Mutter, J. Leroy, M. Smith, L. Soler, and J. Marescaux, “Teleeducation in surgery: European Institute for Telesurgery Experience”, World J. Surg. 25, 1490–1494 (2001).
- J. Rosser, B. Herman, and C. Ehrenwerth, “An overview of video streaming on the Internet and its application to surgical education”, Surg. Endosc. 15, 624–629 (2001). CrossRef
- S.A. Zollo, M.G. Kienzle, Z. Henshaw, L.G. Crist, and D.S. Wakefield, “Tele-education in a telemedicine environment: Implications for rural health care and academic medical centres”, J. Med. Syst. 23, 107–122 (1999). CrossRef
- M.A. Gisondi, S.V. Mahadevan, S.S. Sovndal, and G.H. Gilbert, “19 Emergency department orientation utilizing Web-based streaming video”, Acad. Emerg. Med. 10, 920 (2003). CrossRef
- National Electrical Manufacturers Association, “National Electrical Manufacturers Association. Digital Imaging and Communications in Medicine (DICOM)”, in Digital Imaging and Communications in Medicine (DICOM), National Electrical Manufacturers Association, http://medical.nema.org, 2004.
- International Organization for Standardization, ISO/IEC 2022:1994: Information technology — Character code structure and extension techniques, pp. 47, International Organization for Standardization, Geneva, 1994.
- H.J. Lowe, “The new telemedicine paradigm: Using Internet-based multimedia electronic medical record systems to support wide-area clinical care delivery”, in Telemedicine and Telecommunications: Options for the New Century, Bethesda, 2001.
- M. Cuggia, F. Mougin, and P. Le Beux, “Indexing method of digital audiovisual medical resources with semantic Web integration”, Int. J. Med. Inform. 74, 169–177 (2005). CrossRef
- International Organization for Standardization, ISO/IEC 15444-3:2003: Information technology — JPEG 2000 image coding system — Part 3: Motion JPEG 2000, International Organization for Standardization, Geneva, 2003.
- ISO/IEC, “MPEG-1 Coding of moving pictures and associated audio for digital storage media at up to about 1.5 Mbit/s”, ISO/IEC 11172 (1993).
- ISO/IEC, “Information technology — Generic coding of moving pictures and associated audio information: Video”, ISO/IEC 13818-2 (2002).
- Ii Recommendation Itu-T, Recommendation ITU-T H.262 (1995 E) i, 1995.
- ITU-R, “Video coding for low bit rate communication”, Recommendation ITU-R H.263, 01 (2005).
- W.K.H. Ho, W.K. Cheuk, and D.P.K. Lun, “Content-based scalable H.263 video coding for road traffic monitoring”, IEEE T. Multimedia 7, 615–623, 2005. CrossRef
- ISO/IEC, “Information technology — coding of audio-visual objects — Part 2: Visual”, ISO/IEC 14496-2, 6 (2004).
- International Organization for Standardization, ISO/IEC 14496-10:2004: Information technology — Coding of audio-visual objects — Part 10: Advanced Video Coding, International Organization for Standardization, Geneva, 2004.
- ITU-R, “Advanced video coding for generic audiovisual services”, Recommendation ITU-R H.264, 03 (2005).
- A. Przelaskowski, “Vector quality measure of lossy compressed medical images”, Comput. Biol. Med. 34, 193–207 (2004). CrossRef
- Multimedia — Compression Algorithms and Standards, edited by W. Skarbek, Akademicka Oficyna Wydawnicza PLJ, 1998. (in Polish)
- T. Frankewitsch, S. Soehnlein, M. Mueller, and H.U. Prokosch, “Computed quality assessment of MPEG4-compressed DICOM video data”, in Connecting Medical Informatics and Bio-Informatics, Section 7: Imaging Informatics, pp. 447–452, edited by R. Engelbrecht, ENMI, 2005.
- D.E. Knuth, The Art of Computer Programming Volumes 1–3 Boxed Set, Addison-Wesley Longman Publishing Co., Inc., Boston, 1998.
- T.H. Cormen, C. Stein, R.L. Rivest, and Ch.E. Leiserson, Introduction to Algorithms, McGraw-Hill Higher Education, 2001.
- K. Hosaka, “A new picture quality evaluation method”, in Proc. Int. Picture Coding Symp., pp. 17–18, Tokyo, 1986.
- M. Miyahara, K. Kotani, and V.R. Algazi, “Objective picture quality scale (PQS) for image coding”, IEEE T. Commun. 46, 1215–1226 (1998). CrossRef
- Compression evaluation of surgery video recordings retaining diagnostic credibility (compression evaluation of surgery video)
Volume 16, Issue 4 , pp 428-438
- Cover Date
- Print ISSN
- Online ISSN
- SP Versita
- Additional Links
- video compression
- quality evaluation
- Industry Sectors
- Author Affiliations
- 1. Collegium Medicum, Jagiellonian University, 12 Św. Anny Str., 31-008, Cracow, Poland
- 2. Department of Telecommunications, AGH University of Science and Technology, 30 Mickiewicza Ave., 30-668, Cracow, Poland
- 3. Institute of Radioelectronics, Military University of Technology, 2 Kaliskiego Str., 00-08, Warsaw, Poland