An algorithm for the automatic identification of the key points in head soft tissues

Mitja Lojk (2014) An algorithm for the automatic identification of the key points in head soft tissues. EngD thesis.

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Abstract

The scope of this BSc thesis is to describe the algorithm that traces the soft tissue silhouette of a face on STRGV image (skull lateral X-ray) and then locates key points of soft tissue like tip of the nose, chin and soft tissue nasion. In order to make an informed decision on orthodontic treatment or orthognatic surgery, dentists- orthodontist and dental surgeons use various tools. This tools provide relevant information for diagnosis and help establish an appropriate treatment plan. Goals of the treatment are functional and aestethic improvements. Cephalometric analyses are one of these tools. The goal of this thesis is to find the most appropriate methodology for automatic recognition of key reference points on soft tissue of the head in order to simplify and speed up the process of creating cephalometric analyses in AxCeph software [1].

Item Type:

Thesis (EngD thesis)

Keywords:

X-ray, silhouette, automatic recognition, soft tissue

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
izr. prof. dr. Patricio Bulić	255	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1536090819 )

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

2802

Date Deposited:

26 Sep 2014 18:16

Last Modified:

03 Dec 2014 14:31

URI:

http://eprints.fri.uni-lj.si/id/eprint/2802

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