SwePub
Sök i LIBRIS databas

  Extended search

id:"swepub:oai:gup.ub.gu.se/67015"
 

Search: id:"swepub:oai:gup.ub.gu.se/67015" > Evaluation of recon...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Evaluation of reconstruction techniques for lung single photon emission tomography: a Monte Carlo study.

Norberg, Pernilla, 1970- (author)
Östergötlands Läns Landsting,Linköpings universitet,Medicinsk radiofysik,Radiofysikavdelningen,Hälsouniversitetet
Bake, Björn, 1939 (author)
Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för invärtesmedicin,Institute of Medicine, Department of Internal Medicine,Sahlgrenska universitetssjukhuset, Göteborg
Jacobsson, Lars, 1947 (author)
Göteborgs universitet, Göteborg
show more...
Alm Carlsson, Gudrun, 1939- (author)
Östergötlands Läns Landsting,Linköpings universitet,Medicinsk radiofysik,Hälsouniversitetet,Radiofysikavdelningen
Gustafsson, Agnetha (author)
Östergötlands Läns Landsting,Linköpings universitet,Medicinsk radiofysik,Radiofysikavdelningen,Hälsouniversitetet
show less...
 (creator_code:org_t)
United States : Lippincott Williams & Wilkins, 2007
2007
English.
In: Nuclear medicine communications. - United States : Lippincott Williams & Wilkins. - 0143-3636 .- 1473-5628. ; 28:12, s. 929-36
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • BACKGROUND: In studies of the distribution of lung function, the image quality of lung single photon emission computed tomography (SPECT) is important and one factor influencing it is the reconstruction algorithm. AIM: To systematically evaluate ordered subsets expectation maximization (OSEM) and compare it with filtered back-projection (FBP) for lung SPECT with Tc. METHODS: The evaluation of the number of iterations used in OSEM was based on the image quality parameter contrast. The comparison between OSEM and FBP was based on trade-off plots between statistical noise and spatial resolution for different filter parameters, collimators and count-levels. A Monte Carlo technique was used to simulate SPECT studies of a digital thorax phantom containing two sets of activity: one with a homogeneous activity distribution within the lungs and the other with superposed high- and low-activity objects. Statistical noise in the reconstructed images was calculated as the coefficient of variation (CV) and spatial resolution as full width at half-maximum (FWHM). RESULTS: For the configuration studied, the OSEM reconstruction in combination with post-filtering should be used in lung SPECT studies with at least 60 MLEM equivalent iterations. Compared to FBP the spatial resolution was improved by about 1 mm. For a constant level of CV, a four-fold increase in count level resulted in an increased resolution of about 2 mm. Spatial resolution and cut-off frequency depends on what value of noise in the image is acceptable also increased by using a low-energy, high-resolution collimator for CV values above 3%. The choice of noise-reducing filter and cut-off frequency depends on what value of noise in the image is acceptable.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Lungmedicin och allergi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Respiratory Medicine and Allergy (hsv//eng)

Keyword

Algorithms
Computer Simulation
Humans
Image Enhancement
methods
Image Interpretation
Computer-Assisted
methods
Lung
radionuclide imaging
Models
Biological
Models
Statistical
Monte Carlo Method
Reproducibility of Results
Sensitivity and Specificity
Tomography
Emission-Computed
Single-Photon
methods
SPECT
MEDICINE

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view