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3D Multiscale Physiological Human pp 277–296Cite as

Computer Aided Diagnosis: State-of-the-Art and Application to Musculoskeletal Diseases

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Abstract

Recently, computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. Many different types of CAD systems are being developed for detection and/or characterization of various lesions in medical imaging, including conventional projection radiography, computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound (US).

The goal of a CAD is to improve the quality and productivity of physicians’ job by improving the accuracy and consistency of radiological diagnosis. CAD takes into account equally the roles of physicians and computers, whereas automated computer diagnosis is based on computer algorithms only. With CAD, the performance by computers does not have to be comparable to or better than that by physicians, but needs to be complementary to that by physicians. In fact, CAD systems are currently used to help in early diagnostic process and follow-up. This task is especially useful for musculoskeletal diseases, chronic pathologies which need early diagnosis, adequate follow-up, and timely monitoring of disease indicators.

This chapter describes the state of the art of CAD systems and discusses related issues and trends for musculoskeletal diseases, using as case study the Rheumatoid Arthritis (RA) and the software tool RheumaSCORE.

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Notes

  1. 1.

    DIMI—Dipartimento di Medicina Interna, Clinica Reumatologica, Università degli Studi di Genova.

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Acknowledgments

This work is supported by the FP7 Marie Curie Initial Training Network “MultiScaleHuman”: Multi-scale Biological Modalities for Physiological Human Articulation (2011–2015), contract MRTN-CT-2011-289897. Softeco wishes to thank Esaote Spa and DIMI (Dipartimento di Medicina Interna, Clinica Reumatologica, Università degli Studi di Genova) for their collaboration. The RheumaSCORE software has been developed within the P.O.R. Liguria FESR (2007–2013)—Asse 1 “Innovazione e competitività”—Bando Azione 1.2.2—Progetto SIDARMA.

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Authors and Affiliations

  1. Softeco Sismat S.r.l, Via De Marini 1, Genova, Italy

    Patrizia Parascandolo, Lorenzo Cesario, Loris Vosilla & Gianni Viano

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  1. Patrizia Parascandolo
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  2. Lorenzo Cesario
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Correspondence to Patrizia Parascandolo .

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  1. Centre Universitaire Informatique, MIRALab - University of Geneva, Carouge, Geneve, Switzerland

    Nadia Magnenat-Thalmann

  2. Nuclear Medicine Division, University Hospital of Geneva, Geneva, Switzerland

    Osman Ratib

  3. Centre Universitaire Informatique, MIRALab - University of Geneva, Carouge, Geneve, Switzerland

    Hon Fai Choi

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Parascandolo, P., Cesario, L., Vosilla, L., Viano, G. (2014). Computer Aided Diagnosis: State-of-the-Art and Application to Musculoskeletal Diseases. In: Magnenat-Thalmann, N., Ratib, O., Choi, H. (eds) 3D Multiscale Physiological Human. Springer, London. https://doi.org/10.1007/978-1-4471-6275-9_12

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