UNLABELLED: Sequential testing by coronary CT angiography (CTA) and myocardial perfusion SPECT (MPS) obtained on stand-alone scanners may be needed to diagnose coronary artery disease in equivocal cases. We have developed an automated technique for MPS-CTA registration and demonstrate its utility for improved MPS quantification by guiding the coregistered physiologic (MPS) with anatomic CTA information. METHODS: Automated registration of MPS left ventricular (LV) surfaces with CTA coronary trees was accomplished by iterative minimization of voxel differences between presegmented CTA volumes and motion-frozen MPS data. Studies of 35 sequential patients (26 men; mean age, 67 +/- 12 y) with 64-slice coronary CTA, MPS, and available results of the invasive coronary angiography performed within 3 mo were retrospectively analyzed. Three-dimensional coronary vessels and CTA slices were extracted and fused with quantitative MPS results mapped on LV surfaces and MPS coronary regions. Automatically coregistered CTA images and extracted trees were used to correct the MPS contours and to adjust the standard vascular region definitions for MPS quantification. RESULTS: Automated coregistration of MPS and coronary CTA had the success rate of 96% as assessed visually; the average errors were 4.3 +/- 3.3 mm in translation and 1.5 +/- 2.6 degrees in rotation on stress and 4.2 +/- 3.1 mm in translation and 1.7 +/- 3.2 degrees in rotation on rest. MPS vascular region definition was adjusted in 17 studies, and LV contours were adjusted in 11 studies using coregistered CTA images as a guide. CTA-guided myocardial perfusion analysis, compared with standard MPS analysis, resulted in improved area under the receiver-operating-characteristic (ROC) curves for the detection of right coronary artery (RCA) and left circumflex artery (LCX) lesions (0.84 +/- 0.08 vs. 0.70 +/- 0.11 for LCX, P = 0.03, and 0.92 +/- 0.05 vs. 0.75 +/- 0.09 for RCA, P = 0.02). CONCLUSION: Software image coregistration of stand-alone coronary CTA and MPS obtained on separate scanners can be performed rapidly and automatically, allowing CTA-guided contour and vascular territory adjustment on MPS for improved quantitative MPS analysis.
UNLABELLED: Sequential testing by coronary CT angiography (CTA) and myocardial perfusion SPECT (MPS) obtained on stand-alone scanners may be needed to diagnose coronary artery disease in equivocal cases. We have developed an automated technique for MPS-CTA registration and demonstrate its utility for improved MPS quantification by guiding the coregistered physiologic (MPS) with anatomic CTA information. METHODS: Automated registration of MPS left ventricular (LV) surfaces with CTA coronary trees was accomplished by iterative minimization of voxel differences between presegmented CTA volumes and motion-frozen MPS data. Studies of 35 sequential patients (26 men; mean age, 67 +/- 12 y) with 64-slice coronary CTA, MPS, and available results of the invasive coronary angiography performed within 3 mo were retrospectively analyzed. Three-dimensional coronary vessels and CTA slices were extracted and fused with quantitative MPS results mapped on LV surfaces and MPS coronary regions. Automatically coregistered CTA images and extracted trees were used to correct the MPS contours and to adjust the standard vascular region definitions for MPS quantification. RESULTS: Automated coregistration of MPS and coronary CTA had the success rate of 96% as assessed visually; the average errors were 4.3 +/- 3.3 mm in translation and 1.5 +/- 2.6 degrees in rotation on stress and 4.2 +/- 3.1 mm in translation and 1.7 +/- 3.2 degrees in rotation on rest. MPS vascular region definition was adjusted in 17 studies, and LV contours were adjusted in 11 studies using coregistered CTA images as a guide. CTA-guided myocardial perfusion analysis, compared with standard MPS analysis, resulted in improved area under the receiver-operating-characteristic (ROC) curves for the detection of right coronary artery (RCA) and left circumflex artery (LCX) lesions (0.84 +/- 0.08 vs. 0.70 +/- 0.11 for LCX, P = 0.03, and 0.92 +/- 0.05 vs. 0.75 +/- 0.09 for RCA, P = 0.02). CONCLUSION: Software image coregistration of stand-alone coronary CTA and MPS obtained on separate scanners can be performed rapidly and automatically, allowing CTA-guided contour and vascular territory adjustment on MPS for improved quantitative MPS analysis.
Authors: Piotr J Slomka; Hidetaka Nishina; Daniel S Berman; Xingping Kang; Cigdem Akincioglu; John D Friedman; Sean W Hayes; Usaf E Aladl; Guido Germano Journal: J Nucl Med Date: 2004-07 Impact factor: 10.057
Authors: G Germano; H Kiat; P B Kavanagh; M Moriel; M Mazzanti; H T Su; K F Van Train; D S Berman Journal: J Nucl Med Date: 1995-11 Impact factor: 10.057
Authors: Daniel S Berman; Nathan D Wong; Heidi Gransar; Romalisa Miranda-Peats; John Dahlbeck; Sean W Hayes; John D Friedman; Xingping Kang; Donna Polk; Rory Hachamovitch; Leslee Shaw; Alan Rozanski Journal: J Am Coll Cardiol Date: 2004-08-18 Impact factor: 24.094
Authors: D S Berman; H Kiat; J D Friedman; F P Wang; K van Train; L Matzer; J Maddahi; G Germano Journal: J Am Coll Cardiol Date: 1993-11-01 Impact factor: 24.094
Authors: Marina Piccinelli; Cesar Santana; Gopi Kiran R Sirineni; Russell D Folks; C David Cooke; Chesnal D Arepalli; Santiago Aguade-Bruix; Zohar Keidar; Alex Frenkel; Ora Israel; Jaume Candell-Riera; Ernest V Garcia Journal: J Nucl Cardiol Date: 2017-02-13 Impact factor: 5.952
Authors: Balaji K Tamarappoo; Ariel Gutstein; Victor Y Cheng; Ryo Nakazato; Heidi Gransar; Damini Dey; Louise E J Thomson; Sean W Hayes; John D Friedman; Guido Germano; Piotr J Slomka; Daniel S Berman Journal: J Nucl Cardiol Date: 2010-04-28 Impact factor: 5.952