Synchronized, Interactive Teleconferencing with Digital Cardiac Images

St James's Hospital is a tertiary referral center for percutaneous intervention and cardiothoracic surgery for a number of referring hospitals. This article reports on the development and implementation of a synchronized, interactive teleconferencing system for cardiac images that links St. James's Hospital with a remote site (Sligo General Hospital) and overcomes the problems of transmission of large image files. Teleconferencing was achieved by setting up lossless auto transmission of patient files overnight and conferencing the next morning with linked control signals and databases. As a suitable product was not available, a commercially new software was developed. The system links the imaging databases, monitors and synchronizes progress through imaging sequences, and links a range of image processing and control functions. All parties to the conference are ensured that they are looking at the same images as they are played or at specific aspects of an image that the other party is highlighting. The system allows patient management decisions to be made at a weekly joint teleconference with cardiothoracic surgeons and interventional cardiologists from both sites. Rapid decision making was facilitated with 70% of decisions obtained within 24 h, and 88% within 1 week of their procedure. In urgent cases, data can be transmitted within 20 min of the diagnostic procedure. The system allows increased access to angiography for patients living in rural areas, and provides a more focused referral for revascularization. Participation of the referring cardiologist has improved the quality of decision making.

[1]  Ping-Sing Tsai,et al.  JPEG: Still Image Compression Standard , 2005 .

[2]  S E Nissen,et al.  American College of Cardiology/European Society of Cardiology International Study of Angiographic Data Compression Phase I: The effect of lossy data compression on recognition of diagnostic features in digital coronary angiography. , 2000, Journal of the American College of Cardiology.

[3]  J N Stahl,et al.  A new approach to teleconferencing with intravascular US and cardiac angiography in a low-bandwidth environment. , 2000, Radiographics : a review publication of the Radiological Society of North America, Inc.

[4]  P. Robinson,et al.  Radiology's Achilles' heel: error and variation in the interpretation of the Röntgen image. , 1997, The British journal of radiology.

[5]  C J Martin,et al.  Measurement of image quality in diagnostic radiology. , 1999, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[6]  Yongmin Kim,et al.  Multimedia systems for telemedicine and their communications requirements , 1996 .

[7]  Gregory K. Wallace,et al.  The JPEG Still Image Compression Standard , 1991 .

[8]  J. Malone,et al.  Methods and materials for the measurement of subjective and objective measurements of image quality. , 2001, Radiation protection dosimetry.

[9]  A. Chatterjee,et al.  Microsoft DirectShow : A new media architecture , 1997 .

[10]  Anita Dowling,et al.  Clinical evaluation of a multimodality cardiac case conferencing system , 1999, Medical Imaging.

[11]  S E Nissen,et al.  Introduction and background: the International Angiographic Compression study. , 2000, Journal of the American College of Cardiology.

[12]  J. Malone,et al.  Specification and initial evaluation of a multiple application teleradiology system. , 1996, The British journal of radiology.

[13]  U Bürgel,et al.  American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase III. Measurement Of image quality differences at varying levels of data compression. , 2000, European Heart Journal.

[14]  Joan L. Mitchell,et al.  JPEG: Still Image Data Compression Standard , 1992 .

[15]  U Bürgel,et al.  American College of Cardiology/European Society of Cardiology International Study of Angiographic Data Compression Phase III: measurement of image quality differences at varying levels of data compression. , 2000, Journal of the American College of Cardiology.

[16]  Frank N. Ranallo Recommended Standards for the Routine Performance Testing of Diagnostic X‐Ray Imaging Systems, IPEM Report No. 77 , 1998 .

[17]  C. J. Kotre,et al.  Analysis of variations in contrast-detail measurements performed on image intensifier-television systems , 1992 .

[18]  S E Nissen,et al.  American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase I. The effects of lossy data compression on recognition of diagnostic features in digital coronary angiography. , 2000, European heart journal.