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Towards Real Time 2D to 3D Registration for Ultrasound-guided Endoscopic and Laparoscopic Procedures

Institution:
1Laboratory of Mathematics in Imaging, Brigham and Women's Hospital, Boston, MA, USA. rjosest@bwh.harvard.edu
2Surgical Planning Laboratory, Brigham and Women’s Hospital, Boston, MA, USA
3Center for Integration of Medicine and Innovative Technology (CIMIT), Boston, MA, USA
Publisher:
Springer
Publication Date:
Nov-2009
Journal:
Int J Comput Assist Radiol Surg
Volume Number:
4
Issue Number:
6
Pages:
549-560
Citation:
Int J Comput Assist Radiol Surg. 2009 Nov;4(6):549-60.
PubMed ID:
20033331
PMCID:
PMC2905656
Keywords:
Multi-modality registration, Phase correlation, Ultrasound-guided endoscopic, Ultrasound-guided laparoscopy, CT
Appears in Collections:
NAC, CIGL, LMI, NCIGT, SPL
Sponsors:
P41 RR13218 (RR) funded by NCRR NIH HHS
R01 MH074794 (MH) funded by NIMH NIH HHS
U41 RR019703 (RR) funded by NCRR NIH HHS
Generated Citation:
San Jose Estepar R., Westin C-F., Vosburgh K.G. Towards Real Time 2D to 3D Registration for Ultrasound-guided Endoscopic and Laparoscopic Procedures. Int J Comput Assist Radiol Surg. 2009 Nov;4(6):549-60. PMID: 20033331. PMCID: PMC2905656.
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A method to register endoscopic and laparoscopic ultrasound (US) images in real time with pre-operative computed tomography (CT) data sets has been developed with the goal of improving diagnosis, biopsy guidance, and surgical interventions in the abdomen. METHODS: The technique, which has the potential to operate in real time, is based on a new phase correlation technique: LEPART, which specifies the location of a plane in the CT data which best corresponds to the US image. Validation of the method was carried out using an US phantom with cyst regions and with retrospective analysis of data sets from animal model experiments. RESULTS: The phantom validation study shows that local translation displacements can be recovered for each US frame with a root mean squared error of 1.56±0.78 mm in less than 5 sec, using non-optimized algorithm implementations. CONCLUSION: A new method for multimodality (preoperative CT and intraoperative US endoscopic images) registration to guide endoscopic interventions was developed and found to be efficient using clinically realistic datasets. The algorithm is inherently capable of being implemented in a parallel computing system so that full real time operation appears likely.

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