In Swedish
| Title | Evaluation of Automatic Quantification Programs for Myocardial Perfusion SPECT using Monte Carlo Simulations |
| Author/s | Henrik Hussein El Ali |
| Department/s |
Radiation Physics, Lund
|
| Full-text | Full text is not available in this archive |
| Defence date | 2005-10-07 |
| Defence time | 13:00 |
| Defence place | Onkologiska klinikens föreläsningssal, Universitetssjukhuset i Lund |
| Opponent | Docent Dianna Bone |
| Publishing year | 2005 |
| Pages | 44 |
| Document type | Dissertation |
| Language | English |
| Publisher | Department of Medical Radiation Physics, Clinical Sciences, Lund, Lund University |
| Abstract English | Coronary artery disease (CAD) is a condition in which the blood supply to the myocardium is partially or completely blocked due to plaque build-up in the artery wall. Myocardial SPECT imaging is a commonly used technique to assess the blood flow to the myocardium and the function of the heart. The interpretation of the images can be difficult and subjective. Several automatic myocardial SPECT quantification programs have been developed to standardize the interpretation and analysis of myocardial images. These programs are based on different mathematical models for determination of the heart shape and different normal databases for detection of abnormality, which may lead to disparity in the results given by these different programs. The aims of the work were to validate two automatic quantification programs, i.e. AutoQUANT and 4D-MSPECT, concerning important parameters in the detection of CAD, such as extent, severity and semi-quantitative segment scores and to show that a combination of a patient-like digital phantom and the Monte Carlo technique is useful in simulating clinical patient images. Results: The development of a radioactive ink-based stack phantom was performed for accurate generation of SPECT images. The comparison between the images generated by the stack phantom and the corresponding Monte Carlo simulated images showed good agreement. Differences between the one-day and two-day protocols, as well as between the two quantification programs, were found. Interdependence between the measures of extent and severity were observed. The interdependence was identified as being due to the algorithm used by the quantification program in the assessment of extent and severity. A model was developed to account for this interdependence. The ability of myocardial SPECT to discriminate between transmural and subendocardial lesions was observed for the simulated cases, while in the clinical situations this difference is difficult to observe due to the interdependence of the extent and severity. Conclusions: The disparity between the two programs in assessing the same patient images was found. The combination of the NCAT digital phantom and the SIMIND program was found to be useful in simulating clinical myocardial SPECT study. This technique could be a promising tool since realistic patient studies can be performed in a controlled way and used as input in different automatic quantification programs for accurate comparative evaluations. |
| Subject |
Medicine and Health Sciences Physics and Astronomy |
| Keywords | medicinsk instrumentering, tomografi, Nuclear physics, Kärnfysik, radiologi, Klinisk fysiologi, medical instrumentation, Severity, Monte Carlo, Clinical physics, radiology, tomography, Myocardial perfusion, Extent |
| ISBN/ISSN/Other |
ISSN: 1652-8220 ISBN: 91-85439-81-9 |
| Supervisor | Michael Ljungberg |
| Additional info |
H. H. El-Ali, M. Ljungberg, S. E. Strand, J. Palmer, L. Malmgren and J. Nilsson. 2003. Calibration of a Radioactive Ink-Based Stack Phantom and its Applications in Nuclear Medicine. Cancer Biother Radiopharm, vol 18 pp 201-207.
H. H. El-Ali, J. Palmer, L. Carlsson, L. Edenbrandt and M. Ljungberg. 2005. Comparison of One- and Two-Day Protocols for Myocardial SPECT: A Monte Carlo Study. Clin Physiol Funct Imaging, vol 25 pp 189-195.
H. H. El-Ali, J. Palmer, M. Carlsson, L. Edenbrandt and M. Ljungberg. . Interdependence between Measures of Extent and Severity of Myocardial Perfusion Defects Provided by Automatic Quantification Programs. Nucl Med Commun, (accepted)
H. H. El-Ali, J. Palmer, L. Edenbrandt and M. Ljungberg. . A Model that Accounts for the Interdependence of Extent and Severity in Automatic Evaluation of Myocardial Defects. Nucl Med Commun, (submitted)
J. Bartosik, H. H. El-Ali, U. Nilsson, J. Dahlström, L. Edenbrandt and M. Ljungberg. . Subendocardial Versus Transmural Ischemia in Myocardial Perfusion SPECT – a Monte Carlo Study. (manuscript)
|
Last modified 19 Apr 2013
Lund University, Box 117, SE-221 00 Lund, Sweden. Tel: +46 (0)46 222 00 00