# name
Anàlisi de sensor de profunditat pel seu ús durant l’adquisició de mamografies

# metadata.dc.description[].value
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Oliver Díaz

# metadata.dc.description.abstract[].value
[en] Cancer, together with cardiovascular diseases, are the leading causes of death worldwide.
In 2020, breast cancer became the most commonly diagnosed cancer in the world. This disease is mainly diagnosed by imaging techniques such as mammography, but one of the main limitations of this technique is that the compression of the breast, which is necessary to carry it out, often causes discomfort to patients. In addition, there is misinformation about how breast volume and other measures related to this feature can be directly related
to breast cancer suffering. This is because the machines used to take breast measurements are generally very expensive and, in practice, these measurements are taken with inaccurate tools such as tape or calipers. But less than ten years ago, with the advent of Microsoft’s Kinect device, studies have emerged that have explored the feasibility of measuring breast volume with this cheaper, simpler and potentially more accurate technology. Using a Pico Flexx camera with characteristics very similar to those of the Kinect, I captured an object in three dimensions with a depth image that I processed to obtain a reconstruction of its surface. I then compared the resulting measurements with the original object to assess the accuracy of the device and demonstrate whether it can be used to take measurements of the breast in a clinical setting.

# metadata.dc.rights[].value
memòria: cc-nc-nd (c) Àngela Serrano Sánchez, 2023

# metadata.dc.rights[].value
codi: GPL (c) Àngela Serrano Sánchez, 2023

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

# metadata.dc.title[].value
Anàlisi de sensor de profunditat pel seu ús durant l’adquisició de mamografies