TY - GEN
T1 - Real-time fusion of ultrasound and gamma probe for navigated localization of liver metastases
AU - Wendler, Thomas
AU - Feuerstein, Marco
AU - Traub, Joerg
AU - Lasser, Tobias
AU - Vogel, Jakob
AU - Daghighian, Farhad
AU - Ziegler, Sibylle I.
AU - Navab, Nassir
PY - 2007
Y1 - 2007
N2 - Liver metastases are an advanced stage of several types of cancer, usually treated with surgery. Intra-operative localization of these lesions is currently facilitated by intra-operative ultrasound (IOUS) and palpation, yielding a high rate of false positives due to benign abnormal regions. In this paper we present the integration of functional nuclear information from a gamma probe with IOUS, to provide a synchronized, real-time visualization that facilitates the detection of active metastases intra-operatively. We evaluate the system in an ex-vivo setup employing a group of physicians and medical technicians and show that the addition of functional imaging improves the accuracy of localizing and identifying malignant and benign lesions significantly. Furthermore we are able to demonstrate that the inclusion of an advanced, augmented visualization provides more reliability and confidence on classifying these lesions in the presented evaluation setup.
AB - Liver metastases are an advanced stage of several types of cancer, usually treated with surgery. Intra-operative localization of these lesions is currently facilitated by intra-operative ultrasound (IOUS) and palpation, yielding a high rate of false positives due to benign abnormal regions. In this paper we present the integration of functional nuclear information from a gamma probe with IOUS, to provide a synchronized, real-time visualization that facilitates the detection of active metastases intra-operatively. We evaluate the system in an ex-vivo setup employing a group of physicians and medical technicians and show that the addition of functional imaging improves the accuracy of localizing and identifying malignant and benign lesions significantly. Furthermore we are able to demonstrate that the inclusion of an advanced, augmented visualization provides more reliability and confidence on classifying these lesions in the presented evaluation setup.
UR - http://www.scopus.com/inward/record.url?scp=79551681085&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-75759-7_31
DO - 10.1007/978-3-540-75759-7_31
M3 - Conference contribution
C2 - 18044576
AN - SCOPUS:79551681085
SN - 9783540757580
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 252
EP - 260
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings
PB - Springer Verlag
T2 - 10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
Y2 - 29 October 2007 through 2 November 2007
ER -
