J Nucl Med. 2008; 49 (Supplement 1):393P
Instrumentation & Data Analysis: Image GenerationImage Generation Posters |
A fully automatic motion correction technique for cardiac SPECT
Chuanyong Bai1,
Richard Conwell1,
Joel Kindem1 and
Jamshid Maddahi2
1 Digirad Corporation, Poway, California;
2 UCLA - David Geffen School of Medicine, Los Angeles, California
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Objectives: Patient motion is a key factor that affects the accuracy of cardiac SPECT. Cedars-Sinai MoCo is a software widely used by industry for motion correction but it requires user interaction and its effectiveness is inadequate. In this work, we developed a new and fully automatic technique (STASYS) to improve motion correction.
Methods: STASYS works as follows: A volume image is reconstructed from the raw (projection) data. The volume is then reprojected to generate reprojected data. The raw data are compared to the reprojected data to detect motion and are finally motion corrected. The process is fully automatic with no user interaction. For evaluation, both STASYS and MoCo were applied to 203 studies. Readers first judged the degree of motion in the raw data (no, small, medium, and large motion), then graded the effectiveness of motion correction in terms of perfect correction (PC), significant correction (SC), partial, slight, and no correction.
Results: Out of the 203 studies, 62 showed small and 69 showed medium to large axial motion (AM), 19 showed small and 22 showed medium to large transaxial motion (TM). The table below showed motion correction effectiveness for both STASYS and MoCo. For studies with medium/large motion, STASYS perfectly or significantly corrected 87% of the studies with AM and 80% with TM, but MoCo only corrected 72% and 60%, respectively.
Conclusions: We developed a fully automatic, highly effective motion correction technique for cardiac SPECT with significantly improved performance over MoCo.
