title: Validation of attenuation correction using transmission truncation compensation with a small field of view dedicated cardiac SPECT camera system.
abstract: BACKGROUND
  Although attenuation correction (AC) has been successfully applied to large field of view (LFOV) cameras, applicability to small field of view (SFOV) cameras is a concern due to truncation. This study compared perfusion images between a LFOV and SFOV camera with truncation compensation, using the same AC solution.
  
  
  RESULTS
  Seventy-eight clinically referred patients underwent rest-stress single-photon emission computed tomography (SPECT) using both a SFOV and LFOV camera in a randomized sequence. Blinded images were interpreted by a consensus of three experienced readers. The percentage of normal images for SFOV and LFOV was significantly higher with than without AC (72% vs 44% and 72% vs 49%, both P < .001). Interpretive agreement between cameras was better with than without AC (kappa = 0.736 to 0.847 vs 0.545 to 0.774). Correlation for the summed stress score was higher with than without AC (r (2) = 0.892 vs 0.851, both P < 0.001) while Bland Altman analysis demonstrated narrower limits with than without AC (4.0 to -4.3 vs 5.9 to -5.6).
  
  
  CONCLUSIONS
  Attenuation correction using truncation compensation with a SFOV camera yields similar results to a LFOV camera. The higher interpretive agreement between cameras after attenuation correction suggests that such images are preferable to non-attenuation-corrected images.
authors.affiliation: Division of Cardiology, Bend Memorial Clinic, Bend, OR, USA.
authors.forename: Gavin L
authors.initials: GL
authors.lastname: Noble
authors.forename: Alan W
authors.initials: AW
authors.lastname: Ahlberg
authors.forename: Aravind Rao
authors.initials: AR
authors.lastname: Kokkirala
authors.forename: S James
authors.initials: SJ
authors.lastname: Cullom
authors.forename: Timothy M
authors.initials: TM
authors.lastname: Bateman
authors.forename: Giselle M
authors.initials: GM
authors.lastname: Cyr
authors.forename: Deborah M
authors.initials: DM
authors.lastname: Katten
authors.forename: Glenn D
authors.initials: GD
authors.lastname: Tadeo
authors.forename: James A
authors.initials: JA
authors.lastname: Case
authors.forename: David M
authors.initials: DM
authors.lastname: O'Sullivan
authors.forename: Gary V
authors.initials: GV
authors.lastname: Heller
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016477:Artifacts; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000000981:diagnostic imaging*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D015899:Tomography, Emission-Computed, Single-Photon / Q000295:instrumentation*