Optical Imaging for Diagnosis of Rheumatoid Arthritis - Automatic Versus Human Evaluation

Pouyan Mohajerani, Reinhard Meier, Ernst Rummeny, Vasilis Ntziachristos

Abstract

Successful detection of rheumatoid arthritis (RA) at the early stages of development can significantly enhance the chances of effective therapy. The early onset of RA is often marked with inflammation of the synovial lining of the joint, a condition known as synovitis. Effective imaging of synovitis is therefore of critical importance. While dynamic, contrast-enhanced magnetic resonance imaging (MRI) is capable of effective imaging of synovitis, it is a costly modality. As an alternative, inexpensive approach, optical imaging post injection of the near-infrared fluorescent dye indocynine green (ICG) has been recently proposed for imaging RA. Evaluation of the obtained optical images is performed via examination by trained human readers. However, optical imaging has yet to achieve the diagnostic accuracy of MRI. In this paper we present a method for automatic evaluation of the fluorescence images and compare its performance with the human-based evaluation. Our method relies on our previous work on spatiotemporal analysis of image sequence with principal component analysis (PCA) to seek synovitis signal components with the help of a segmentation method. The results for a group of 600 joints, obtained from 20 patients, suggest improved diagnostic performance using the automatic approach in comparison to human-based evaluation.

References

  1. Backhaus, M., Kamradt, T., Sandrock, D., Loreck, D., Fritz, J., Wolf, K. J., Raber, H., Hamm, B., Burmester, G. R. & Bollow, M. 1999. Arthritis Of The Finger Joints: A Comprehensive Approach Comparing Conventional Radiography, Scintigraphy, Ultrasound, And Contrast-Enhanced Magnetic Resonance Imaging. Arthritis Rheum, 42, 1232-45.
  2. Chen, W. T., Mahmood, U., Weissleder, R. & Tung, C. H. 2005. Arthritis Imaging Using A Near-Infrared Fluorescence Folate-Targeted Probe. Arthritis Research & Therapy, 7, R310-R317.
  3. Delle Sedie, A., Riente, L. & Bombardieri, S. 2008. Limits And Perspectives Of Ultrasound In The Diagnosis And Management Of Rheumatic Diseases. Modern Rheumatology, 18, 125-131.
  4. Emery, P. & Quinn, M. A. 2003. Window Of Opportunity In Early Rheumatoid Arthritis: Possibility Of Altering The Disease Process With Early Intervention. Clinical And Experimental Rheumatology, 21, S154-S157.
  5. Emery, P., Wakefield, R. J., O'connor, P. J., Conaghan, P. G., Mcgonagle, D., Hensor, E. M. A., Gibbon, W. W. & Brown, C. 2007. Finger Tendon Disease In Untreated Early Rheumatoid Arthritis: A Comparison Of Ultrasound And Magnetic Resonance Imaging. Arthritis & Rheumatism-Arthritis Care & Research, 57, 1158-1164.
  6. Fawcett, T. 2006. An Introduction To Roc Analysis. Pattern Recognition Letters, 27, 861-874.
  7. Fischer, T., Ebert, B., Voigt, J., Macdonald, R., Schneider, U., Thomas, A., Hamm, B. & Hermann, K. G. 2010. Detection Of Rheumatoid Arthritis Using NonSpecific Contrast Enhanced Fluorescence Imaging. Acad Radiol, 17, 375-81.
  8. Gompels, L. L., Lim, N. H., Vincent, T. & Paleolog, E. M. 2010. In Vivo Optical Imaging In Arthritis--An Enlightening Future? Rheumatology (Oxford), 49, 1436-46.
  9. Hielscher, A. H., Kim, H. K., Montejo, L. D., Blaschke, S., Netz, U. J., Zwaka, P. A., Illing, G., Muller, G. A. & Beuthan, J. 2011. Frequency-Domain Optical Tomographic Imaging Of Arthritic Finger Joints. Ieee Trans Med Imaging, 30, 1725-36.
  10. Hielscher, A. H., Klose, A. D., Scheel, A. K., MoaAnderson, B., Backhaus, M., Netz, U. & Beuthan, J. 2004. Sagittal Laser Optical Tomography For Imaging Of Rheumatoid Finger Joints. Physics In Medicine And Biology, 49, 1147-1163.
  11. Huttenlocher, D. P., Klanderman, G. A. & Rucklidge, W. J. 1993. Comparing Images Using The Hausdorff Distance. Ieee Transactions On Pattern Analysis And Machine Intelligence, 15, 850-863.
  12. Jolliffe, I. T. 2002. Principal Component Analysis, Springer.
  13. Klose, A. D., Hielscher, A. H., Hanson, K. M. & Beuthan, J. 1999. Two- And Three-Dimensional Optical Tomography Of Finger Joints For Diagnostics Of Rheumatoid Arthritis. Proceedings Of Spie, 3566, 151-160.
  14. Meier, R., Thuermel, K., Moog, P., Noel, P., Ahari, C., Sievert, M., Dorn, F., Waldt, S., Schaeffeler, C., Werner, S., Golovko, D., Haller, B., Ganter, C., Weckbach, S., Woertler, K. & Rummeny, E. J. 2012. Detection Of Arthritis In The Hands Of Patients With Rheumatological Disorders: Diagnostic Performance Of Optical Imaging In Comparison To Magnetic Resonance Imaging. Arthritis & Rheumatism, 64, 2489-98.
  15. Meier, R., Thuermel, K., Noël, P. B., Moog, P., Sievert, M., Ahari, C., Nasirudin, R. A., Golovko, D., Haller, B., Ganter, C., Wildgruber, M., Schaeffeler, C., Waldt, S. & Rummeny, E. J. 2014. Synovitis In Patients With Early Inflammatory Arthritis Monitored With Quantitative Analysis Of Dynamic Contrast-Enhanced Optical Imaging And Mr Imaging. Radiology, 270, 176-185.
  16. Michael Levandowsky & Winter, D. 1971. Distances Between Sets. Nature, 234, 34-35.
  17. Mohajerani, P., Koch, M., Thürmel, K., Haller, B., Rummeny, E. J., Ntziachristos, V. & Meier, R. 2014. Fluorescence-Aided Tomographic Imaging Of Synovitis In The Human Finger. Radiology.
  18. Mohajerani, P., Meier, R., Noël, P. B., Rummeny, E. J. & Ntziachristos, V. 2013. Spatiotemporal Analysis For Indocyanine Green-Aided Imaging Of Rheumatoid Arthritis In Hand Joints. Journal Of Biomedical Optics, 18, 097004-097004.
  19. Ostergaard, M., Ejbjerg, B. & Szkudlarek, M. 2005. Imaging In Early Rheumatoid Arthritis: Roles Of Magnetic Resonance Imaging, Ultrasonography, Conventional Radiography And Computed Tomography. Best Practice & Research In Clinical Rheumatology, 19, 91-116.
  20. Ostergaard, M., Peterfy, C., Conaghan, P., Mcqueen, F., Bird, P., Ejbjerg, B., Shnier, R., O'connor, P., Klarlund, M., Emery, P., Genant, H., Lassere, M. & Edmonds, J. 2003. Omeract Rheumatoid Arthritis Magnetic Resonance Imaging Studies. Core Set Of Mri Acquisitions, Joint Pathology Definitions, And The Omeract Ra-Mri Scoring System. Journal Of Rheumatology, 30, 1385-1386.
  21. Zou, K. H., O'malley, A. J. & Mauri, L. 2007. ReceiverOperating Characteristic Analysis For Evaluating Diagnostic Tests And Predictive Models. Circulation, 115, 654-7.
Download


Paper Citation


in Harvard Style

Mohajerani P., Meier R., Rummeny E. and Ntziachristos V. (2015). Optical Imaging for Diagnosis of Rheumatoid Arthritis - Automatic Versus Human Evaluation . In Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015) ISBN 978-989-758-072-7, pages 36-43. DOI: 10.5220/0005217200360043


in Bibtex Style

@conference{bioimaging15,
author={Pouyan Mohajerani and Reinhard Meier and Ernst Rummeny and Vasilis Ntziachristos},
title={Optical Imaging for Diagnosis of Rheumatoid Arthritis - Automatic Versus Human Evaluation},
booktitle={Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)},
year={2015},
pages={36-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005217200360043},
isbn={978-989-758-072-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bioimaging - Volume 1: BIOIMAGING, (BIOSTEC 2015)
TI - Optical Imaging for Diagnosis of Rheumatoid Arthritis - Automatic Versus Human Evaluation
SN - 978-989-758-072-7
AU - Mohajerani P.
AU - Meier R.
AU - Rummeny E.
AU - Ntziachristos V.
PY - 2015
SP - 36
EP - 43
DO - 10.5220/0005217200360043