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BOGAZICI UNIVERSITY Lung Nodule Detection MIPAV beyond viewer Altay Brusan, Albert Güveniş 1/1/2014 The objectives are to first calibrate monitor and then detect nodules with MIPAV tools.

Lung nodule detection

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Page 1: Lung nodule detection

Bogazici University

Lung Nodule Detection

MIPAV beyond viewer

Altay Brusan, Albert Güveniş

1/1/2014

The objectives are to first calibrate monitor and then detect nodules with MIPAV tools.

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Monitor Calibration

Monitor calibration is done in two manners: first via windows 7 built in calibration tool (calibrate display color) and monitors front panel adjustment tools. This section shows the whole process step by step.

Figure 1 windows 7 built in adjustment tool

This tool provides many options for calibration, among them we just concentrate on gamma adjusting. Fig2

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Figure 2 Gamma adjustment

Software phantom that we have used is TG18-QC-1MH which is available for download from http://www.jira-net.or.jp/e/information/jira_image.html. Fig3

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Figure 3 Calibrating monitor

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After monitoring we have noticed that our monitor’s performance in bright white spectrum does not meet the medical applications.

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Filtering and Nodule detection

We have tested low pass filer with arbitrary filter length. The aim is to see how this type of filters affects the image. After then in another attempt we used color thresholds adjustment tool for making the differences more clear and detect nodules.

Figure 4 Filters menu

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Figure 5 Low pass filter adjustment

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Figure 6 Image before adjustment (Left side) and after passing through LPF (Right side)

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Figure 7 Detected nodules

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