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Computer Aided Analysis of Clock Drawing Test Samples via PACS Plugin

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Information Technology in Biomedicine (ITIB 2022)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1429))

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Abstract

Clock Drawing Test (CDT) is a screening tool employed as a standalone cognitive test or as a part of cognitive assessment battery. This popular cognitive test has multiple procedures and scoring systems. Most often the patient is asked to draw or fill in the clock face.

Automatic analysis and scoring of the Clock Drawing Test is not straightforward task. There are many different scales, the input images are of variable quality, and handwriting is occasionally hard to decipher. However, psychologists can still employ computer tools to make the assessment easier or faster.

In this paper, the computer-aided analysis of CDT using the Manos and Wu scale was proposed. The template that divides the clock face into eight parts is fitted to the image, then clustering and counting of objects in individual segments are performed.

The proof-of-concept system designed for integration with the Picture Archiving and Communications System (PACS) and RIS (Radiological Information System) infrastructure is introduced.

The method is tested on static images registered on a tablet device. The system performance is tested, yielding 70% accuracy at segment-wise assessment. In qualitative assessment, neutral and positive scores prevail.

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Acknowledgement

This research has been co-financed within the statutory grant of Silesian University of Technology no. 07/010/BK_22/1011.

Author information

Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, ul. Roosevelta 40, 41-800, Zabrze, Poland

    Jacek Kawa & Maria Bieńkowska

  2. John Paul II Geriatric Hospital, ul. Morawa 31, 40-353, Katowice, Poland

    Adam Bednorz

  3. RadPoint ltd, ul. Ceglana 35, 40-514, Katowice, Poland

    Michał Smoliński

  4. Division of Neurological and Psychiatric Nursing, Faculty of Health Sciences, Medical University of Gdansk, 80-211, Gdansk, Poland

    Emilia J. Sitek

  5. Department of Neurology, St. Adalbert Hospital, Copernicus PL Ltd., 80-462, Gdansk, Poland

    Emilia J. Sitek

Authors
  1. Jacek Kawa
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  5. Emilia J. Sitek
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Corresponding author

Correspondence to Jacek Kawa .

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Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Pietka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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Kawa, J., Bieńkowska, M., Bednorz, A., Smoliński, M., Sitek, E.J. (2022). Computer Aided Analysis of Clock Drawing Test Samples via PACS Plugin. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2022. Advances in Intelligent Systems and Computing, vol 1429. Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_17

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