Registration of freehand 3D ultrasound and magnetic resonance liver images Export

@article{Penney04, abstract = {We present a method to register a preoperative MR volume to a sparse set of intraoperative ultrasound slices. Our aim is to allow the transfer of information from preoperative modalities to intraoperative ultrasound images to aid needle placement during thermal ablation of liver metastases. The spatial relationship between ultrasound slices is obtained by tracking the probe using a Polaris optical tracking system. Images are acquired at maximum exhalation and we assume the validity of the rigid body transformation. An initial registration is carried out by picking a single corresponding point in both modalities. Our strategy is to interpret both sets of images in an automated pre-processing step to produce evidence or probabilities of corresponding structure as a pixel or voxel map. The registration algorithm converts the intensity values of the MR and ultrasound images into vessel probability values. The registration is then carried out between the vessel probability images. Results are compared to a "bronze standard" registration which is calculated using a manual point/line picking algorithm and verified using visual inspection. Results show that our starting estimate is within a root mean square target registration error (calculated over the whole liver) of 15.4 mm to the "bronze standard" and this is improved to 3.6 mm after running the intensity-based algorithm.}, address = {Division of Imaging Sciences, 5th Floor Thomas Guy House, Guy's Hospital, London SE1 9RT, UK.}, author = {Penney, G. P. and Blackall, J. M. and Hamady, M. S. and Sabharwal, T. and Adam, A. and Hawkes, D. J.}, citeulike-article-id = {1117794}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/14644148}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=14644148}, issn = {1361-8415}, journal = {Med Image Anal}, keywords = {3d-ultrasound, freehand, image-guided-surgery, liver, registration, segmentation}, month = {March}, number = {1}, pages = {81--91}, posted-at = {2007-02-22 13:06:05}, priority = {4}, publisher = {Elsevier}, title = {Registration of freehand 3D ultrasound and magnetic resonance liver images}, url = {http://view.ncbi.nlm.nih.gov/pubmed/14644148}, volume = {8}, year = {2004} }

TY - JOUR ID - Penney04 L3 - citeulike-article-id:1117794 N2 - We present a method to register a preoperative MR volume to a sparse set of intraoperative ultrasound slices. Our aim is to allow the transfer of information from preoperative modalities to intraoperative ultrasound images to aid needle placement during thermal ablation of liver metastases. The spatial relationship between ultrasound slices is obtained by tracking the probe using a Polaris optical tracking system. Images are acquired at maximum exhalation and we assume the validity of the rigid body transformation. An initial registration is carried out by picking a single corresponding point in both modalities. Our strategy is to interpret both sets of images in an automated pre-processing step to produce evidence or probabilities of corresponding structure as a pixel or voxel map. The registration algorithm converts the intensity values of the MR and ultrasound images into vessel probability values. The registration is then carried out between the vessel probability images. Results are compared to a "bronze standard" registration which is calculated using a manual point/line picking algorithm and verified using visual inspection. Results show that our starting estimate is within a root mean square target registration error (calculated over the whole liver) of 15.4 mm to the "bronze standard" and this is improved to 3.6 mm after running the intensity-based algorithm. IS - 1 JF - Med Image Anal SN - 1361-8415 AD - Division of Imaging Sciences, 5th Floor Thomas Guy House, Guy's Hospital, London SE1 9RT, UK. EP - 91 TI - Registration of freehand 3D ultrasound and magnetic resonance liver images PB - Elsevier VL - 8 SP - 81 KW - 3d-ultrasound KW - freehand KW - image-guided-surgery KW - liver KW - registration KW - segmentation AU - Penney, GP AU - Blackall, JM AU - Hamady, MS AU - Sabharwal, T AU - Adam, A AU - Hawkes, DJ PY - 2004/03// UR - http://view.ncbi.nlm.nih.gov/pubmed/14644148 ER -