title: Coregistered three-dimensional ultrasound and photoacoustic imaging system for ovarian tissue characterization.
abstract: Ovarian cancer has the highest mortality of all gynecologic cancers, with a five-year survival rate of only 30% or less. Current imaging techniques are limited in sensitivity and specificity in detecting early stage ovarian cancer prior to its widespread metastasis. New imaging techniques that can provide functional and molecular contrasts are needed to reduce the high mortality of this disease. One such promising technique is photoacoustic imaging. We develop a 1280-element coregistered 3-D ultrasound and photoacoustic imaging system based on a 1.75-D acoustic array. Volumetric images over a scan range of 80 deg in azimuth and 20 deg in elevation can be achieved in minutes. The system has been used to image normal porcine ovarian tissue. This is an important step toward better understanding of ovarian cancer optical properties obtained with photoacoustic techniques. To the best of our knowledge, such data are not available in the literature. We present characterization measurements of the system and compare coregistered ultrasound and photoacoustic images of ovarian tissue to histological images. The results show excellent coregistration of ultrasound and photoacoustic images. Strong optical absorption from vasculature, especially highly vascularized corpora lutea and low absorption from follicles, is demonstrated.
authors.affiliation: University of Connecticut, Department of Electrical and Computer Engineering, 371 Fairfield Way, Storrs, Connecticut 06269, USA.
authors.forename: Andres
authors.initials: A
authors.lastname: Aguirre
authors.forename: Puyun
authors.initials: P
authors.lastname: Guo
authors.forename: John
authors.initials: J
authors.lastname: Gamelin
authors.forename: Shikui
authors.initials: S
authors.lastname: Yan
authors.forename: Mary M
authors.initials: MM
authors.lastname: Sanders
authors.forename: Molly
authors.initials: M
authors.lastname: Brewer
authors.forename: Quing
authors.initials: Q
authors.lastname: Zhu
mesh_terms: D000465:Algorithms; D000818:Animals; D054459:Elasticity Imaging Techniques / Q000295:instrumentation / Q000379:methods*; D005260:Female; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010051:Ovarian Neoplasms / Q000000981:diagnostic imaging*; D010053:Ovary / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D013552:Swine