izpis_h1_title_alt

Automatic segmentation of whole-body bone scintigrams as a preprocessing step for computer assisted diagnostics
Šajn, Luka (Author), Kukar, Matjaž (Author), Kononenko, Igor (Author), Milčinski, Metka (Author)

URLURL - Presentation file, Visit http://eprints.fri.uni-lj.si/1030/ This link opens in a new window

Abstract
Bone scintigraphy or whole-body bone scan is one of the most common diagnostic procedures in nuclear medicine used in the last 25 years. Pathological conditions, technically poor quality images and artifacts necessitate that algorithms use su±cient background knowledge of anatomy and spatial relations of bones in order to work satisfactorily. We present a robust knowledge based methodology for detecting reference points of the main skeletal regions that simultaneously processes anterior and posterior whole-body bone scintigrams. Expert knowledge is represented as a set of parameterized rules which are used to support standard image processing algorithms. Our study includes 467 consecutive, non-selected scintigrams, which is to our knowledge the largest number of images ever used in such studies. Automatic analysis of whole-body bone scans using our knowledge based segmentation algorithm gives more accurate and reliable results than previous studies. Obtained reference points are used for automatic segmentation of the skeleton, which is used for automatic (machine learning) or manual (expert physicians) diagnostics. Preliminary experiments show that an expert system based on machine learning closely mimics the results of expert physicians.

Language:Unknown
Keywords:segmentation, image processing, scintigraphy
Work type:Not categorized (r6)
Organization:FRI - Faculty of computer and information science
Publisher:Springer
Number of pages:361-372
Views:513
Downloads:140
Metadata:XML RDF-CHPDL DC-XML DC-RDF
 
Average score:(0 votes)
Your score:Voting is allowed only to logged in users.
:
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Comments

Leave comment

You have to log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back