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  <title>OAR@UM Collection:</title>
  <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/36843" />
  <subtitle />
  <id>https://www.um.edu.mt/library/oar/handle/123456789/36843</id>
  <updated>2026-04-24T01:53:29Z</updated>
  <dc:date>2026-04-24T01:53:29Z</dc:date>
  <entry>
    <title>Thermographic analysis of the abdominal region of pregnant women</title>
    <link rel="alternate" href="https://www.um.edu.mt/library/oar/handle/123456789/37429" />
    <author>
      <name />
    </author>
    <id>https://www.um.edu.mt/library/oar/handle/123456789/37429</id>
    <updated>2021-06-09T06:48:49Z</updated>
    <published>2018-01-01T00:00:00Z</published>
    <summary type="text">Title: Thermographic analysis of the abdominal region of pregnant women
Abstract: The use of thermography in the biomedical field is becoming increasingly popular and is&#xD;
providing promising results in numerous medical fields such as complications from diabetes&#xD;
[1, 2, 3] and breast cancer [4, 5, 6]. This dissertation is one of the earliest investigations which&#xD;
study whether thermography could also be applied to obstetrics. The contributions of this study&#xD;
include:&#xD;
1. Dynamic thermal imaging, which was for the first time used to investigate both temporal&#xD;
and spatial temperature patterns for the abdominal region of pregnant and non-pregnant&#xD;
women. The few studies on obstetric thermography only acquire static images so the&#xD;
temperature results are subjective to the participants’ conditions at that instant.&#xD;
2. The development of a video registration technique, which can be applied to the&#xD;
homogenous texture of human skin, without the use of any markers thus making the system&#xD;
completely non-invasive. In order to obtain reliable temperatures, the images in the&#xD;
thermal video had to be geometrically aligned. Two image alignment techniques were&#xD;
considered: a sequential image registration via triangulation, and optical flow. Principal&#xD;
component analysis (PCA) image reconstruction of the registered images was also&#xD;
implemented to remove any residual movement still present in the registered images.&#xD;
3. The investigation of the validity of the standard acclimatisation period of 20 minutes,&#xD;
which is used by all thermographic studies in the literature. Most of the thermal patterns&#xD;
for non-pregnant women still exhibited temperature variations at 60 minutes, whereas most&#xD;
thermal patterns for pregnant women achieved a steady state value after one hour.&#xD;
4. The use of PCA for temperature data analysis, which had never been considered for&#xD;
medical thermographic analysis. Both pregnant and non-pregnant participants experienced&#xD;
a gradual temperature decay, or rise in some cases, which is generally present across the&#xD;
whole abdomen. The first three principal components were found to be consistent in all&#xD;
participants and thus could be associated with normal processes of the human body.&#xD;
This investigation has shown that the use of dynamic thermal imaging combined with suitable&#xD;
registration and data analysis techniques can yield valuable information on passive and active&#xD;
physiological processes for obstetrical applications.
Description: M.SC.BIOMED.CYB.</summary>
    <dc:date>2018-01-01T00:00:00Z</dc:date>
  </entry>
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