Assessing the skeletal age from a hand radiograph: automating the Tanner-Whitehouse method

Meindert Niemeijer; Bram van Ginneken; Casper A. Maas; Frederik J. A. Beek; Max A. Viergever

doi:10.1117/12.480163

15 May 2003 Assessing the skeletal age from a hand radiograph: automating the Tanner-Whitehouse method

Meindert Niemeijer, Bram van Ginneken, Casper A. Maas, Frederik J. A. Beek, Max A. Viergever

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.480163
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

The skeletal maturity of children is usually assessed from a standard radiograph of the left hand and wrist. An established clinical method to determine the skeletal maturity is the Tanner-Whitehouse (TW2) method. This method divides the skeletal development into several stages (labelled A, B, ...,I). We are developing an automated system based on this method. In this work we focus on assigning a stage to one region of interest (ROI), the middle phalanx of the third finger. We classify each ROI as follows. A number of ROIs which have been assigned a certain stage by a radiologist are used to construct a mean image for that stage. For a new input ROI, landmarks are detected by using an Active Shape Model. These are used to align the mean images with the input image. Subsequently the correlation between each transformed mean stage image and the input is calculated. The input ROI can be assigned to the stage with the highest correlation directly, or the values can be used as features in a classifier. The method was tested on 71 cases ranging from stage E to I. The ROI was staged correctly in 73.2% of all cases and in 97.2% of all incorrectly staged cases the error was not more than one stage.

Citation Download Citation

Meindert Niemeijer, Bram van Ginneken, Casper A. Maas, Frederik J. A. Beek, and Max A. Viergever "Assessing the skeletal age from a hand radiograph: automating the Tanner-Whitehouse method", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480163

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