Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Needle Localization in Ultrasound Images: FULL NEEDLE AXIS AND TIP LOCALIZATION IN ULTRASOUND IMAGES USING GPS DATA AND IMAGE PROCESSING
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Many medical interventions involve ultrasound based imaging systems to safely localize and navigate instruments into the patient body. To facilitate visual tracking of the instruments, we investigate the techniques and methodologies best suited for solving the problem of needle localization in ultrasound images.

We propose a robust procedure that automatically determines the position of a needle in 2D ultrasound images. Such a task is decomposed into the localization of the needle axis and its tip. A first estimation of the axis position is computed with the help of multiple position sensors, including one embedded in the transducer and another in the needle. Based on this, the needle axis is computed using a RANSAC algorithm. The tip is detected by analyzing the intensity along the axis and a Kalman filter is added to compensate for measurement uncertainties.

The algorithms were experimentally verified on real ultrasound images acquired by a 2D scanner scanning a portion of a cryogel phantom that contained a thin metallic needle. The experiments shows that the algorithms are capable of detecting a needle at millimeter accuracy.The computational time of the order of milliseconds permits real time needle localization.

Place, publisher, year, edition, pages
2015.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-180454OAI: oai:DiVA.org:kth-180454DiVA: diva2:894040
Educational program
Master of Science - Systems, Control and Robotics
Supervisors
Examiners
Available from: 2016-01-21 Created: 2016-01-14 Last updated: 2016-01-21Bibliographically approved

Open Access in DiVA

fulltext(2477 kB)159 downloads
File information
File name FULLTEXT01.pdfFile size 2477 kBChecksum SHA-512
4fc367ad6beb0770c404f03811cfdc19babe28de314d2ec80a55cda3c8dba2ee6f1ad3992ea1ce6f7a4b16fe241628269fd54d25ebd531cf2378930e88667db4
Type fulltextMimetype application/pdf

By organisation
School of Computer Science and Communication (CSC)
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 159 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 200 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf