DocumentCode
2000030
Title
Correlation between SWEI and ARFI image findings in ex vivo human prostates
Author
Zhai, Liang ; Madden, John ; Mouraviev, Vladimir ; Polascik, Thomas ; Nightingale, Kathryn
Author_Institution
Duke Univ., Durham, NC, USA
fYear
2009
fDate
20-23 Sept. 2009
Firstpage
523
Lastpage
526
Abstract
Acoustic Radiation Force Impulse (ARFI) imaging has previously been used to visualize normal anatomic structures and pathologies in both ex vivo and in vivo human prostates. Based on the relative displacement amplitudes in ARFI images and comparison with histological slides and McNeal´s zonal anatomy, it seems that the central zone (CZ) is stiffer than other anatomic zones, and prostate cancer (PCa) is stiffer than normal tissue in the peripheral zone and benign prostatic hyperplasia (BPH). Since displacement amplitudes in ARFI images are determined by both the underlying tissue stiffness and the amplitude of acoustic radiation force, one question that arises is: how are the relative displacements in ARFI images related to the underlying tissue stiffness? In this study, co-registered three-dimensional (3D) ARFI datasets and shear wave elasticity imaging (SWEI) datasets were acquired to investigate the relationship between displacement amplitudes in ARFI images and the underlying tissue stiffness. Six freshly excised human prostates were collected and imaged. The lateral time-to-peak (TTP) algorithm was used to reconstruct the tissue stiffness. Linear regression was performed between ARFI displacement amplitudes and the inverse of the corresponding reconstructed shear moduli. Five types of prostatic tissues were identified in ARFI images, and their stiffnesses were quantified.
Keywords
biological tissues; biomechanics; biomedical ultrasonics; cancer; data acquisition; elastic waves; elasticity; image reconstruction; medical image processing; shear modulus; McNeal zonal anatomy; acoustic radiation force; acoustic radiation force impulse imaging; anatomic zones; benign prostatic hyperplasia; central zone; data acquisition; image reconstruction; linear regression; prostate cancer; shear moduli; shear wave elasticity imaging; tissue stiffness; Acoustic imaging; Anatomy; Elasticity; Humans; Image reconstruction; In vivo; Pathology; Principal component analysis; Prostate cancer; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultrasonics Symposium (IUS), 2009 IEEE International
Conference_Location
Rome
ISSN
1948-5719
Print_ISBN
978-1-4244-4389-5
Electronic_ISBN
1948-5719
Type
conf
DOI
10.1109/ULTSYM.2009.5441796
Filename
5441796
Link To Document