Yearb Med Inform 2010; 19(01): 43-46
DOI: 10.1055/s-0038-1638687
Original Article
Georg Thieme Verlag KG Stuttgart

Sensors, Medical Images and Signal Processing:

Comprehensive Multi-modal Diagnosis Aid Frameworks
A. Depeursinge
1   Medical Informatics Service, University Hospitals and University of Geneva, Switzerland
,
H. Müller
1   Medical Informatics Service, University Hospitals and University of Geneva, Switzerland
2   University of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland
,
Section Editors for the IMIA Yearbook Section on Sensor, Signal, and Imaging Informatics › Author Affiliations
Further Information

Correspondence to

Prof. Dr. Henning Müller
HES-SO Valais TechnoArk 3
3960 Sierre
Switzerland

Publication History

Publication Date:
07 March 2018 (online)

 

Summary

Objectives To summarize current excellent research in the field of medical sensor, signal and imaging informatics.

Method: Synopsis of the articles selected for the IMIA (International Medical Informatics Association) Yearbook 2010.

Results: Current research in the field of sensor, signal, and imaging informatics is characterized by theoretically sound techniques and evaluations with focus in imaging informatics.

Conclusions: The best paper selection of articles on sensors, signal, and imaging informatics shows examples of excellent research on methods concerning theoretically sound original development in this field. Research published in 2009 was characterized by the emergence of mature computerized diagnosis aid frameworks with assessment of input and output quality. The purpose of these systems is clearly to bring new image and signal interpretation tools to clinicians.


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  • References

  • 1 Clifford GD, Long WJ, Moody GB, Szolovits P. Robust parameter extraction for decision support using multimodal intensive care data. Philos Transact A Math Phys Eng Sci 2009; 367 (1887): 411-29.
  • 2 Niemeijer M, Abramoff MD, van Ginneken B. Information fusion for diabetic retinopathy CAD in digital color fundus photographs. IEEE Trans Med Imaging 2009; 28 (05) 775-85.
  • 3 Grossman AD, Cohen MJ, Manley GT, Butte AJ. Infection in the intensive care unit alters physiological networks. BMC Bioinformatics 2009; 10 (Suppl. 09) S4.
  • 4 Pärkkä J, Merilahti J, Mattila EM, Malm E, Antila K, Tuomisto MT. et al. Relationship of psychological and physiological variables in long-term self-monitored data during work ability rehabilitation program. IEEE Trans Inf Technol Biomed 2009; 13 (02) 141-51.
  • 5 Drukker K, Sennett CA, Giger ML. Automated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans Med Imaging 2009; 28 (01) 122-8.
  • 6 Depeursinge A, Müller H. Sensors, medical images and signal processing: exploring multi-dimensional medical imaging data. Yearb Med Inform 2009; 81-3.
  • 7 Szczypiñski PM, Sriram RD, Sriram PV, Reddy DN. A model of deformable rings for interpretation of wireless capsule endoscopic video. Med Image Anal 2009; 13 (02) 312-24.
  • 8 Deguchi D, Mori K, Feuerstein M, Kitasaka T, Maurer Jr CR, Suenaga Y. et al. Selective image similarity measure for bronchoscope tracking based on image registration. Med Image Anal 2009; 13 (04) 621-33.
  • 9 Zhao F, Zhang H, Wahle A, Thomas MT, Stolpen AH, Scholz TD. et al. Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis. Med Image Anal 2009; 13 (03) 483-93.
  • 10 Burgos A, Goñi A, Illarramendi A, Bermúdez J. Real-Time Detection of Apneas on a PDA. IEEE Trans Inf Technol Biomed. 2009
  • 11 Vogel S, Hülsbusch M, Hennig T, Blazek V, Leonhardt S. In-ear vital signs monitoring using a novel microoptic reflective sensor. IEEE Trans Inf Technol Biomed 2009; 13 (06) 882-9.
  • 12 Schoevers J, Scheffer C, Dippenaar R. Low-oxygensaturation quantification in human arterial and venous circulation. IEEE Trans Biomed Eng 2009; 56 (03) 846-54.
  • 13 Usher D, Dumsky M, Himaga M, Williamson T, Nussey S, Boyce J. Automated detection of diabetic retinopathy in digital retinal images: A tool for diabetic retinopathy screening. Diabet Med 2004; 21: 84-90.
  • 14 Webster JG. Design of Pulse Oximeters. NewYork: Taylor & Francis; 1997. ch. 10, 159.

Correspondence to

Prof. Dr. Henning Müller
HES-SO Valais TechnoArk 3
3960 Sierre
Switzerland

  • References

  • 1 Clifford GD, Long WJ, Moody GB, Szolovits P. Robust parameter extraction for decision support using multimodal intensive care data. Philos Transact A Math Phys Eng Sci 2009; 367 (1887): 411-29.
  • 2 Niemeijer M, Abramoff MD, van Ginneken B. Information fusion for diabetic retinopathy CAD in digital color fundus photographs. IEEE Trans Med Imaging 2009; 28 (05) 775-85.
  • 3 Grossman AD, Cohen MJ, Manley GT, Butte AJ. Infection in the intensive care unit alters physiological networks. BMC Bioinformatics 2009; 10 (Suppl. 09) S4.
  • 4 Pärkkä J, Merilahti J, Mattila EM, Malm E, Antila K, Tuomisto MT. et al. Relationship of psychological and physiological variables in long-term self-monitored data during work ability rehabilitation program. IEEE Trans Inf Technol Biomed 2009; 13 (02) 141-51.
  • 5 Drukker K, Sennett CA, Giger ML. Automated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans Med Imaging 2009; 28 (01) 122-8.
  • 6 Depeursinge A, Müller H. Sensors, medical images and signal processing: exploring multi-dimensional medical imaging data. Yearb Med Inform 2009; 81-3.
  • 7 Szczypiñski PM, Sriram RD, Sriram PV, Reddy DN. A model of deformable rings for interpretation of wireless capsule endoscopic video. Med Image Anal 2009; 13 (02) 312-24.
  • 8 Deguchi D, Mori K, Feuerstein M, Kitasaka T, Maurer Jr CR, Suenaga Y. et al. Selective image similarity measure for bronchoscope tracking based on image registration. Med Image Anal 2009; 13 (04) 621-33.
  • 9 Zhao F, Zhang H, Wahle A, Thomas MT, Stolpen AH, Scholz TD. et al. Congenital aortic disease: 4D magnetic resonance segmentation and quantitative analysis. Med Image Anal 2009; 13 (03) 483-93.
  • 10 Burgos A, Goñi A, Illarramendi A, Bermúdez J. Real-Time Detection of Apneas on a PDA. IEEE Trans Inf Technol Biomed. 2009
  • 11 Vogel S, Hülsbusch M, Hennig T, Blazek V, Leonhardt S. In-ear vital signs monitoring using a novel microoptic reflective sensor. IEEE Trans Inf Technol Biomed 2009; 13 (06) 882-9.
  • 12 Schoevers J, Scheffer C, Dippenaar R. Low-oxygensaturation quantification in human arterial and venous circulation. IEEE Trans Biomed Eng 2009; 56 (03) 846-54.
  • 13 Usher D, Dumsky M, Himaga M, Williamson T, Nussey S, Boyce J. Automated detection of diabetic retinopathy in digital retinal images: A tool for diabetic retinopathy screening. Diabet Med 2004; 21: 84-90.
  • 14 Webster JG. Design of Pulse Oximeters. NewYork: Taylor & Francis; 1997. ch. 10, 159.