TY - GEN
T1 - Radiopositive tissue displacement compensation for SPECT-guided surgery
AU - Pinto, Francisco
AU - Fuerst, Bernhard
AU - Frisch, Benjamin
AU - Navab, Nassir
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - We present a new technique to overcome a major disadvantage of SPECT-guided surgery, where a 3D image of the distribution of a radiotracer augments the live view of the surgical situs in order to identify radiopositive tissue for resection and subsequent histological analysis. In current systems, the reconstructed SPECT volume is outdated as soon as the situs is modified by further surgical actions, due to tissue displacement. Our technique intraoperatively estimates the displacement of radiopositive tissue, which enables the update of the SPECT image augmentation. After the initial SPECT reconstruction is complete, we deploy a 2D γ-camera along with a technique to optimize its placement. We automatically establish a correspondence between regions of interest in the reconstructed volume and the near real-time 2D γ images. The 3D displacement of the radiopositive nodules is then continuously estimated based on the processing of the aforementioned γ-camera’s output. Initial results show that we can estimate displacements with ±1 mm accuracy.
AB - We present a new technique to overcome a major disadvantage of SPECT-guided surgery, where a 3D image of the distribution of a radiotracer augments the live view of the surgical situs in order to identify radiopositive tissue for resection and subsequent histological analysis. In current systems, the reconstructed SPECT volume is outdated as soon as the situs is modified by further surgical actions, due to tissue displacement. Our technique intraoperatively estimates the displacement of radiopositive tissue, which enables the update of the SPECT image augmentation. After the initial SPECT reconstruction is complete, we deploy a 2D γ-camera along with a technique to optimize its placement. We automatically establish a correspondence between regions of interest in the reconstructed volume and the near real-time 2D γ images. The 3D displacement of the radiopositive nodules is then continuously estimated based on the processing of the aforementioned γ-camera’s output. Initial results show that we can estimate displacements with ±1 mm accuracy.
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U2 - 10.1007/978-3-319-24571-3_64
DO - 10.1007/978-3-319-24571-3_64
M3 - Conference contribution
AN - SCOPUS:84951046072
SN - 9783319245706
SN - 9783319245706
SN - 9783319245706
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 536
EP - 543
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings
A2 - Hornegger, Joachim
A2 - Frangi, Alejandro F.
A2 - Wells, William M.
A2 - Frangi, Alejandro F.
A2 - Navab, Nassir
A2 - Hornegger, Joachim
A2 - Navab, Nassir
A2 - Wells, William M.
A2 - Wells, William M.
A2 - Frangi, Alejandro F.
A2 - Hornegger, Joachim
A2 - Navab, Nassir
PB - Springer Verlag
T2 - 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015
Y2 - 5 October 2015 through 9 October 2015
ER -