Abstract
Periacetabular osteotomy is a challenging surgical procedure for treating developmental hip dysplasia, providing greater coverage of the femoral head via relocation of a patient’s acetabulum. Since fluoroscopic imaging is frequently used in the surgical workflow, computer-assisted X-Ray navigation of osteotomes and the relocated acetabular fragment should be feasible. We use intensity-based 2D/3D registration to estimate the pelvis pose with respect to fluoroscopic images, recover relative poses of multiple views, and triangulate landmarks which may be used for navigation. Existing similarity metrics are unable to consistently account for the inherent mismatch between the preoperative intact pelvis, and the intraoperative reality of a fractured pelvis. To mitigate the effect of this mismatch, we continuously estimate the relevance of each pixel to solving the registration and use these values as weightings in a patch-based similarity metric. Limiting computation to randomly selected subsets of patches results in faster runtimes than existing patch-based methods. A simulation study was conducted with random fragment shapes, relocations, and fluoroscopic views, and the proposed method achieved a 1.7 mm mean triangulation error over all landmarks, compared to mean errors of 3 mm and 2.8 mm for the non-patched and image-intensity-variance-weighted patch similarity metrics, respectively.
| Original language | English (US) |
|---|---|
| Title of host publication | OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis - 1st International Workshop, OR 2.0 2018 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, 3rd International Workshop, ISIC 2018 Held in Conjunction with MICCAI 2018 |
| Editors | Anand Malpani, Marco A. Zenati, Cristina Oyarzun Laura, M. Emre Celebi, Duygu Sarikaya, Noel C. Codella, Allan Halpern, Marius Erdt, Lena Maier-Hein, Luo Xiongbiao, Stefan Wesarg, Danail Stoyanov, Zeike Taylor, Klaus Drechsler, Kristin Dana, Anne Martel, Raj Shekhar, Sandrine De Ribaupierre, Tobias Reichl, Jonathan McLeod, Miguel Angel González Ballester, Toby Collins, Marius George Linguraru |
| Publisher | Springer Verlag |
| Pages | 153-163 |
| Number of pages | 11 |
| ISBN (Print) | 9783030012007 |
| DOIs | |
| State | Published - Jan 1 2018 |
| Event | 1st International Workshop on OR 2.0 Context-Aware Operating Theaters, OR 2.0 2018, 5th International Workshop on Computer Assisted Robotic Endoscopy, CARE 2018, 7th International Workshop on Clinical Image-Based Procedures, CLIP 2018, and 1st International Workshop on Skin Image Analysis, ISIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018 - Granada, Spain Duration: Sep 16 2018 → Sep 20 2018 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11041 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 1st International Workshop on OR 2.0 Context-Aware Operating Theaters, OR 2.0 2018, 5th International Workshop on Computer Assisted Robotic Endoscopy, CARE 2018, 7th International Workshop on Clinical Image-Based Procedures, CLIP 2018, and 1st International Workshop on Skin Image Analysis, ISIC 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018 |
|---|---|
| Country | Spain |
| City | Granada |
| Period | 9/16/18 → 9/20/18 |
Fingerprint
Keywords
- 2D/3D registration
- Periacetabular osteotomy
- X-ray navigation
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
Patch-based image similarity for intraoperative 2D/3D pelvis registration during periacetabular osteotomy. / Grupp, Robert B.; Armand, Mehran; Taylor, Russell H.
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis - 1st International Workshop, OR 2.0 2018 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, 3rd International Workshop, ISIC 2018 Held in Conjunction with MICCAI 2018. ed. / Anand Malpani; Marco A. Zenati; Cristina Oyarzun Laura; M. Emre Celebi; Duygu Sarikaya; Noel C. Codella; Allan Halpern; Marius Erdt; Lena Maier-Hein; Luo Xiongbiao; Stefan Wesarg; Danail Stoyanov; Zeike Taylor; Klaus Drechsler; Kristin Dana; Anne Martel; Raj Shekhar; Sandrine De Ribaupierre; Tobias Reichl; Jonathan McLeod; Miguel Angel González Ballester; Toby Collins; Marius George Linguraru. Springer Verlag, 2018. p. 153-163 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11041 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Patch-based image similarity for intraoperative 2D/3D pelvis registration during periacetabular osteotomy
AU - Grupp, Robert B.
AU - Armand, Mehran
AU - Taylor, Russell H
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Periacetabular osteotomy is a challenging surgical procedure for treating developmental hip dysplasia, providing greater coverage of the femoral head via relocation of a patient’s acetabulum. Since fluoroscopic imaging is frequently used in the surgical workflow, computer-assisted X-Ray navigation of osteotomes and the relocated acetabular fragment should be feasible. We use intensity-based 2D/3D registration to estimate the pelvis pose with respect to fluoroscopic images, recover relative poses of multiple views, and triangulate landmarks which may be used for navigation. Existing similarity metrics are unable to consistently account for the inherent mismatch between the preoperative intact pelvis, and the intraoperative reality of a fractured pelvis. To mitigate the effect of this mismatch, we continuously estimate the relevance of each pixel to solving the registration and use these values as weightings in a patch-based similarity metric. Limiting computation to randomly selected subsets of patches results in faster runtimes than existing patch-based methods. A simulation study was conducted with random fragment shapes, relocations, and fluoroscopic views, and the proposed method achieved a 1.7 mm mean triangulation error over all landmarks, compared to mean errors of 3 mm and 2.8 mm for the non-patched and image-intensity-variance-weighted patch similarity metrics, respectively.
AB - Periacetabular osteotomy is a challenging surgical procedure for treating developmental hip dysplasia, providing greater coverage of the femoral head via relocation of a patient’s acetabulum. Since fluoroscopic imaging is frequently used in the surgical workflow, computer-assisted X-Ray navigation of osteotomes and the relocated acetabular fragment should be feasible. We use intensity-based 2D/3D registration to estimate the pelvis pose with respect to fluoroscopic images, recover relative poses of multiple views, and triangulate landmarks which may be used for navigation. Existing similarity metrics are unable to consistently account for the inherent mismatch between the preoperative intact pelvis, and the intraoperative reality of a fractured pelvis. To mitigate the effect of this mismatch, we continuously estimate the relevance of each pixel to solving the registration and use these values as weightings in a patch-based similarity metric. Limiting computation to randomly selected subsets of patches results in faster runtimes than existing patch-based methods. A simulation study was conducted with random fragment shapes, relocations, and fluoroscopic views, and the proposed method achieved a 1.7 mm mean triangulation error over all landmarks, compared to mean errors of 3 mm and 2.8 mm for the non-patched and image-intensity-variance-weighted patch similarity metrics, respectively.
KW - 2D/3D registration
KW - Periacetabular osteotomy
KW - X-ray navigation
UR - http://www.scopus.com/inward/record.url?scp=85054878519&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054878519&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-01201-4_17
DO - 10.1007/978-3-030-01201-4_17
M3 - Conference contribution
AN - SCOPUS:85054878519
SN - 9783030012007
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 153
EP - 163
BT - OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis - 1st International Workshop, OR 2.0 2018 5th International Workshop, CARE 2018, 7th International Workshop, CLIP 2018, 3rd International Workshop, ISIC 2018 Held in Conjunction with MICCAI 2018
A2 - Malpani, Anand
A2 - Zenati, Marco A.
A2 - Oyarzun Laura, Cristina
A2 - Celebi, M. Emre
A2 - Sarikaya, Duygu
A2 - Codella, Noel C.
A2 - Halpern, Allan
A2 - Erdt, Marius
A2 - Maier-Hein, Lena
A2 - Xiongbiao, Luo
A2 - Wesarg, Stefan
A2 - Stoyanov, Danail
A2 - Taylor, Zeike
A2 - Drechsler, Klaus
A2 - Dana, Kristin
A2 - Martel, Anne
A2 - Shekhar, Raj
A2 - De Ribaupierre, Sandrine
A2 - Reichl, Tobias
A2 - McLeod, Jonathan
A2 - González Ballester, Miguel Angel
A2 - Collins, Toby
A2 - Linguraru, Marius George
PB - Springer Verlag
ER -