Acquisition and automated 3-D segmentation of respiratory/cardiac-gated PET transmission images

Conference · Tue Dec 31 04:00:00 EST 1996

OSTI ID:513210

Reutter, B W; Klein, G J; Brennan, K M; Huesman, R H ^[1]

---

1. Lawrence Berkeley National Lab., CA (United States)

To evaluate the impact of respiratory motion on attenuation correction of cardiac PET data, we acquired and automatically segmented gated transmission data for a dog breathing on its own under gas anesthesia. Data were acquired for 20 min on a CTI/Siemens ECAT EXACT HR (47-slice) scanner configured for 12 gates in a static study, Two respiratory gates were obtained using data from a pneumatic bellows placed around the dog`s chest, in conjunction with 6 cardiac gates from standard EKG gating. Both signals were directed to a LabVIEW-controlled Macintosh, which translated them into one of 12 gate addresses. The respiratory gating threshold was placed near end-expiration to acquire 6 cardiac-gated datasets at end-expiration and 6 cardiac-gated datasets during breaths. Breaths occurred about once every 10 sec and lasted about 1-1.5 sec. For each respiratory gate, data were summed over cardiac gates and torso and lung surfaces were segmented automatically using a differential 3-D edge detection algorithm. Three-dimensional visualizations showed that lung surfaces adjacent to the heart translated 9 mm inferiorly during breaths. Our results suggest that respiration-compensated attenuation correction is feasible with a modest amount of gated transmission data and is necessary for accurate quantitation of high-resolution gated cardiac PET data.

• DOE Contract Number: AC03-76SF00098
• OSTI ID: 513210
• Report Number(s): CONF-961123--
• Country of Publication: United States
• Language: English

Related Subjects

44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
55 BIOLOGY AND MEDICINE
BASIC STUDIES
ATTENUATION
CORRECTIONS
DOGS
HEART
IMAGE PROCESSING
POSITRON COMPUTED TOMOGRAPHY
RESPIRATORY SYSTEM
SPATIAL RESOLUTION
THREE-DIMENSIONAL CALCULATIONS