Improved image interpretation with registered thoracic CT and positron emission tomography data sets.
OBJECTIVE
The purpose of this study was to determine if nonlinear registration of clinically acquired thoracic CT and FDG positron emission tomography (PET) data sets supports more detailed interpretation of metastatic thoracic disease when compared with interpretations from nonregistered PET studies.


CONCLUSIONS
In 11 of 16 data sets of patients imaged for detection of metastatic disease, interpretations from PET studies were correctly altered with registration information. All changes were either improvements in tumor localization or correct interpretation of less metastatic involvement.
Aquino
Suzanne L
SL
Department of Radiology, FND 202, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA.
Asmuth
Jane C
JC
Moore
Richard H
RH
Weise
Steven B
SB
Fischman
Alan J
AJ
D000328:Adult; D000368:Aged; D005260:Female; D019788:Fluorodeoxyglucose F18; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008175:Lung Neoplasms / Q000473:pathology; D008198:Lymph Nodes / Q000000981:diagnostic imaging; D008207:Lymphatic Metastasis; D008297:Male; D008482:Mediastinum / Q000000981:diagnostic imaging; D008875:Middle Aged; D009364:Neoplasm Recurrence, Local; D013902:Radiography, Thoracic; D019275:Radiopharmaceuticals; D013899:Thoracic Neoplasms / Q000473:pathology; D013909:Thorax / Q000000981:diagnostic imaging*; D014055:Tomography, Emission-Computed; D014057:Tomography, X-Ray Computed
D019275:Radiopharmaceuticals; D019788:Fluorodeoxyglucose F18