Abstract
CT guided tumor ablation of the liver often suffers from a lack of visualization of the target tumor and surrounding critical structures. This information is available on pre-operative contrast enhanced MR images and a non-rigid registration technique is desirable. However while registration methods have been successfully tested retrospectively on patient data, very few have been incorporated into clinical procedures. A non-rigid registration technique has been evaluated, optimized and validated to be able to perform registration of the liver between MR to CT images, and between intra-operative CT images. The method requires pre-processing and segmentation of the liver, and presents an accuracy of approximately 2mm. A clinical feasibility study has been conducted in 5 liver ablation cases. The method helps clinicians enhance interventional planning, confirm ablation probe location with respect to the tumor, and in the case of cryotherapy, evaluate tumor coverage by the ice ball.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 837-844 |
| Number of pages | 8 |
| Volume | 5761 LNCS |
| Edition | PART 1 |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 - London, United Kingdom Duration: 2009 Sep 20 → 2009 Sep 24 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 5761 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 |
|---|---|
| Country | United Kingdom |
| City | London |
| Period | 09/9/20 → 09/9/24 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Intra-operative multimodal non-rigid registration of the liver for navigated tumor ablation. / Elhawary, Haytham; Oguro, Sota; Tuncali, Kemal; Morrison, Paul R.; Shyn, Paul B.; Tatli, Servet; Silverman, Stuart G.; Hata, Nobuhiko.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5761 LNCS PART 1. ed. 2009. p. 837-844 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5761 LNCS, No. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Intra-operative multimodal non-rigid registration of the liver for navigated tumor ablation
AU - Elhawary, Haytham
AU - Oguro, Sota
AU - Tuncali, Kemal
AU - Morrison, Paul R.
AU - Shyn, Paul B.
AU - Tatli, Servet
AU - Silverman, Stuart G.
AU - Hata, Nobuhiko
PY - 2009
Y1 - 2009
N2 - CT guided tumor ablation of the liver often suffers from a lack of visualization of the target tumor and surrounding critical structures. This information is available on pre-operative contrast enhanced MR images and a non-rigid registration technique is desirable. However while registration methods have been successfully tested retrospectively on patient data, very few have been incorporated into clinical procedures. A non-rigid registration technique has been evaluated, optimized and validated to be able to perform registration of the liver between MR to CT images, and between intra-operative CT images. The method requires pre-processing and segmentation of the liver, and presents an accuracy of approximately 2mm. A clinical feasibility study has been conducted in 5 liver ablation cases. The method helps clinicians enhance interventional planning, confirm ablation probe location with respect to the tumor, and in the case of cryotherapy, evaluate tumor coverage by the ice ball.
AB - CT guided tumor ablation of the liver often suffers from a lack of visualization of the target tumor and surrounding critical structures. This information is available on pre-operative contrast enhanced MR images and a non-rigid registration technique is desirable. However while registration methods have been successfully tested retrospectively on patient data, very few have been incorporated into clinical procedures. A non-rigid registration technique has been evaluated, optimized and validated to be able to perform registration of the liver between MR to CT images, and between intra-operative CT images. The method requires pre-processing and segmentation of the liver, and presents an accuracy of approximately 2mm. A clinical feasibility study has been conducted in 5 liver ablation cases. The method helps clinicians enhance interventional planning, confirm ablation probe location with respect to the tumor, and in the case of cryotherapy, evaluate tumor coverage by the ice ball.
UR - http://www.scopus.com/inward/record.url?scp=77952257864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952257864&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04268-3_103
DO - 10.1007/978-3-642-04268-3_103
M3 - Conference contribution
SN - 3642042678
SN - 9783642042676
VL - 5761 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 837
EP - 844
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -