TY - GEN
T1 - Ultrasound tomosynthesis
T2 - 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
AU - Aalamifar, Fereshteh
AU - Seifabadi, Reza
AU - Bernardo, Marcelino
AU - Negussie, Ayele H.
AU - Turkbey, Baris
AU - Merino, Maria
AU - Pinto, Peter
AU - Rahmim, Arman
AU - Wood, Bradford J.
AU - Boctor, Emad M.
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - Biopsy under B-mode transrectal ultrasound (TRUS) is the gold standard for prostate cancer diagnosis. However,B-mode US shows only the boundary of the prostate,therefore biopsy is performed in a blind fashion,resulting in many false negatives. Although MRI or TRUS-MRI fusion is more sensitive and specific,it may not be readily available across a broad population,and may be cost prohibitive. In this paper,a limited-angle transmission US methodology is proposed,here called US tomosynthesis (USTS),for prostate imaging. This enables quantitative imaging of the prostate,such as generation of a speed of sound (SOS) map,which theoretically may improve detection,localization,or characterization of cancerous prostate tissue. Prostate USTS can be enabled by adding an abdominal probe aligned with the transrectal probe by utilizing a robotic arm. In this paper,we elaborate proposed methodology; then develop a setup and a technique to enable ex vivo USTS imaging of human prostate immediately after prostatectomy. Custom hardware and software were developed and implemented. Mock ex vivo prostate and lesions were made by filling a mold cavity with water,and adding a plastisol lesion. The time of flights were picked using a proposed center of mass method and corrected manually. The SOS map with a difference expectation-maximization reconstruction performed most accurately,with 2.69 %,0.23 %,0.06 % bias in estimating the SOS of plastisol,water,and mold respectively. Although USTS methodology requires further ex vivo validation,USTS has the potential to open up a new window in quantitative low-cost US imaging of the prostate which may meet a public health need.
AB - Biopsy under B-mode transrectal ultrasound (TRUS) is the gold standard for prostate cancer diagnosis. However,B-mode US shows only the boundary of the prostate,therefore biopsy is performed in a blind fashion,resulting in many false negatives. Although MRI or TRUS-MRI fusion is more sensitive and specific,it may not be readily available across a broad population,and may be cost prohibitive. In this paper,a limited-angle transmission US methodology is proposed,here called US tomosynthesis (USTS),for prostate imaging. This enables quantitative imaging of the prostate,such as generation of a speed of sound (SOS) map,which theoretically may improve detection,localization,or characterization of cancerous prostate tissue. Prostate USTS can be enabled by adding an abdominal probe aligned with the transrectal probe by utilizing a robotic arm. In this paper,we elaborate proposed methodology; then develop a setup and a technique to enable ex vivo USTS imaging of human prostate immediately after prostatectomy. Custom hardware and software were developed and implemented. Mock ex vivo prostate and lesions were made by filling a mold cavity with water,and adding a plastisol lesion. The time of flights were picked using a proposed center of mass method and corrected manually. The SOS map with a difference expectation-maximization reconstruction performed most accurately,with 2.69 %,0.23 %,0.06 % bias in estimating the SOS of plastisol,water,and mold respectively. Although USTS methodology requires further ex vivo validation,USTS has the potential to open up a new window in quantitative low-cost US imaging of the prostate which may meet a public health need.
KW - Ex vivo
KW - Prostate
KW - Robotic ultrasound
KW - Transmission ultrasound
KW - Ultrasound tomography
KW - Ultrasound tomosynthesis
UR - http://www.scopus.com/inward/record.url?scp=84996590431&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84996590431&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46720-7_67
DO - 10.1007/978-3-319-46720-7_67
M3 - Conference contribution
AN - SCOPUS:84996590431
SN - 9783319467191
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 577
EP - 584
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
A2 - Ourselin, Sebastian
A2 - Joskowicz, Leo
A2 - Sabuncu, Mert R.
A2 - Wells, William
A2 - Unal, Gozde
PB - Springer Verlag
Y2 - 21 October 2016 through 21 October 2016
ER -