TY - GEN
T1 - fhSPECT-US guided needle biopsy of sentinel lymph nodes in the axilla
T2 - 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014
AU - Okur, Asli
AU - Hennersperger, Christoph
AU - Runyan, Brent
AU - Gardiazabal, José
AU - Keicher, Matthias
AU - Paepke, Stefan
AU - Wendler, Thomas
AU - Navab, Nassir
PY - 2014
Y1 - 2014
N2 - Until now, core needle biopsy of the axillary sentinel lymph nodes in early stage breast cancer patients is not possible, due to the lack of a proper combination of functional and anatomical information. In this work we present the first fully 3D freehand SPECT - ultrasound fusion, combining the advantages of both modalities. By using spatial positioning either with optical or with electromagnetic tracking for the ultrasound probe, and a mini gamma camera as radiation detector for freehand SPECT reconstructions, we investigate the capability of the introduced multi-model imaging system, where we compare both 3D freehand SPECT and 3D ultrasound to ground truth for a realistic breast mimicking phantom and further analyze the effect of tissue deformation by ultrasound. Finally, we also show its application in a real clinical setting.
AB - Until now, core needle biopsy of the axillary sentinel lymph nodes in early stage breast cancer patients is not possible, due to the lack of a proper combination of functional and anatomical information. In this work we present the first fully 3D freehand SPECT - ultrasound fusion, combining the advantages of both modalities. By using spatial positioning either with optical or with electromagnetic tracking for the ultrasound probe, and a mini gamma camera as radiation detector for freehand SPECT reconstructions, we investigate the capability of the introduced multi-model imaging system, where we compare both 3D freehand SPECT and 3D ultrasound to ground truth for a realistic breast mimicking phantom and further analyze the effect of tissue deformation by ultrasound. Finally, we also show its application in a real clinical setting.
UR - http://www.scopus.com/inward/record.url?scp=84909644577&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-10404-1_72
DO - 10.1007/978-3-319-10404-1_72
M3 - Conference contribution
C2 - 25333165
AN - SCOPUS:84909644577
SN - 9783319104034
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 2014 - 17th International Conference, Proceedings
PB - Springer Verlag
Y2 - 14 September 2014 through 18 September 2014
ER -