Institute of Information Theory and Automation

Publication details

Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry

Journal Article

Caon M., Sedlář Jiří, Bajger M., Lee G.


serial: AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE vol.37, 2 (2014), p. 393-403

keywords: Voxel model, Image segmentation, Statistical region merging, CT dosimetry

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abstract (eng):

The segmentation of CT images to produce a computational model of anatomy is a time-consuming and laborious process. Here we report a time saving semiautomatic approach. The image-processing technique known as ‘‘statistical region merging’’ (SRM) was used to pre-segment the 54 original CT images of the ADELAIDE data set into regions of related pixels. These regions were amalgamated into organs and tissues by a program operated through a graphical user interface. This combination of SRM and GUI was used to build a voxel computational model of anatomy. The ‘‘new’’ version of ADELAIDE was compared to the ‘‘old’’ version by simulating an abdominal CT procedure on both models and comparing the Monte Carlo calculated organ doses. Seventeen of the 21 SRM– GUI segmented tissues received doses that were within 18 % of the doses received by the manually segmented tissues.

RIV: JD

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Last modification: 21.12.2012
Institute of Information Theory and Automation