Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement
Metopic craniosynostosis is a condition caused by the premature fusion of the metopic cranial suture. If untreated, it can result into brain growth restriction, increased intra-cranial pressure, visual impairment, and cognitive delay. Fronto-orbital advancement is the widely accepted surgical approa...
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| Veröffentlicht in: | IEEE transactions on medical imaging 2018-07, Vol.37 (7), p.1690-1700 |
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| creator | Porras, Antonio R. Paniagua, Beatriz Ensel, Scott Keating, Robert Rogers, Gary F. Enquobahrie, Andinet Linguraru, Marius George |
| description | Metopic craniosynostosis is a condition caused by the premature fusion of the metopic cranial suture. If untreated, it can result into brain growth restriction, increased intra-cranial pressure, visual impairment, and cognitive delay. Fronto-orbital advancement is the widely accepted surgical approach to correct cranial shape abnormalities in patients with metopic craniosynostosis, but the outcome of the surgery remains very dependent on the expertise of the surgeon because of the lack of objective and personalized cranial shape metrics to target during the intervention. We propose in this paper a locally affine diffeomorphic surface registration framework to create an optimal interventional plan personalized to each patient. Our method calculates the optimal surgical plan by minimizing cranial shape abnormalities, which are quantified using objective metrics based on a normative model of cranial shapes built from 198 healthy cases. It is guided by clinical osteotomy templates for fronto-orbital advancement, and it automatically calculates how much and in which direction each bone piece needs to be translated, rotated, and/or bent. Our locally affine framework models separately the transformation of each bone piece while ensuring the consistency of the global transformation. We used our method to calculate the optimal surgical plan for 23 patients, obtaining a significant reduction of malformations (p 0.01). |
| doi_str_mv | 10.1109/TMI.2018.2816402 |
| format | Article |
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If untreated, it can result into brain growth restriction, increased intra-cranial pressure, visual impairment, and cognitive delay. Fronto-orbital advancement is the widely accepted surgical approach to correct cranial shape abnormalities in patients with metopic craniosynostosis, but the outcome of the surgery remains very dependent on the expertise of the surgeon because of the lack of objective and personalized cranial shape metrics to target during the intervention. We propose in this paper a locally affine diffeomorphic surface registration framework to create an optimal interventional plan personalized to each patient. Our method calculates the optimal surgical plan by minimizing cranial shape abnormalities, which are quantified using objective metrics based on a normative model of cranial shapes built from 198 healthy cases. It is guided by clinical osteotomy templates for fronto-orbital advancement, and it automatically calculates how much and in which direction each bone piece needs to be translated, rotated, and/or bent. Our locally affine framework models separately the transformation of each bone piece while ensuring the consistency of the global transformation. We used our method to calculate the optimal surgical plan for 23 patients, obtaining a significant reduction of malformations (p <; 0.001) between 40.38% and 50.85% in the simulated outcome of the surgery using different osteotomy templates. In addition, malformation values were within healthy ranges (p > 0.01).</description><identifier>ISSN: 0278-0062</identifier><identifier>EISSN: 1558-254X</identifier><identifier>DOI: 10.1109/TMI.2018.2816402</identifier><identifier>PMID: 29969419</identifier><identifier>CODEN: ITMID4</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Abnormalities ; Biocompatibility ; Biomedical materials ; Bones ; Brain ; Case-Control Studies ; Cognitive ability ; Computed tomography ; Computer simulation ; Cranial ; Cranial sutures ; Craniosynostoses - diagnostic imaging ; Craniosynostoses - surgery ; Craniosynostosis ; Cranium ; Female ; Frontal Bone - diagnostic imaging ; Frontal Bone - surgery ; Humans ; Image Interpretation, Computer-Assisted - methods ; Infant ; locally affine ; Male ; Mathematical models ; Orbit - diagnostic imaging ; Orbit - surgery ; Osteotomy ; Patients ; People with disabilities ; registration ; Shape ; Skull ; Surgery ; Surgery, Computer-Assisted - methods ; surgical plan</subject><ispartof>IEEE transactions on medical imaging, 2018-07, Vol.37 (7), p.1690-1700</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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If untreated, it can result into brain growth restriction, increased intra-cranial pressure, visual impairment, and cognitive delay. Fronto-orbital advancement is the widely accepted surgical approach to correct cranial shape abnormalities in patients with metopic craniosynostosis, but the outcome of the surgery remains very dependent on the expertise of the surgeon because of the lack of objective and personalized cranial shape metrics to target during the intervention. We propose in this paper a locally affine diffeomorphic surface registration framework to create an optimal interventional plan personalized to each patient. Our method calculates the optimal surgical plan by minimizing cranial shape abnormalities, which are quantified using objective metrics based on a normative model of cranial shapes built from 198 healthy cases. It is guided by clinical osteotomy templates for fronto-orbital advancement, and it automatically calculates how much and in which direction each bone piece needs to be translated, rotated, and/or bent. Our locally affine framework models separately the transformation of each bone piece while ensuring the consistency of the global transformation. We used our method to calculate the optimal surgical plan for 23 patients, obtaining a significant reduction of malformations (p <; 0.001) between 40.38% and 50.85% in the simulated outcome of the surgery using different osteotomy templates. 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If untreated, it can result into brain growth restriction, increased intra-cranial pressure, visual impairment, and cognitive delay. Fronto-orbital advancement is the widely accepted surgical approach to correct cranial shape abnormalities in patients with metopic craniosynostosis, but the outcome of the surgery remains very dependent on the expertise of the surgeon because of the lack of objective and personalized cranial shape metrics to target during the intervention. We propose in this paper a locally affine diffeomorphic surface registration framework to create an optimal interventional plan personalized to each patient. Our method calculates the optimal surgical plan by minimizing cranial shape abnormalities, which are quantified using objective metrics based on a normative model of cranial shapes built from 198 healthy cases. It is guided by clinical osteotomy templates for fronto-orbital advancement, and it automatically calculates how much and in which direction each bone piece needs to be translated, rotated, and/or bent. Our locally affine framework models separately the transformation of each bone piece while ensuring the consistency of the global transformation. We used our method to calculate the optimal surgical plan for 23 patients, obtaining a significant reduction of malformations (p <; 0.001) between 40.38% and 50.85% in the simulated outcome of the surgery using different osteotomy templates. In addition, malformation values were within healthy ranges (p > 0.01).</abstract><cop>United States</cop><pub>IEEE</pub><pmid>29969419</pmid><doi>10.1109/TMI.2018.2816402</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-5989-2953</orcidid><orcidid>https://orcid.org/0000-0003-0264-3686</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Abnormalities Biocompatibility Biomedical materials Bones Brain Case-Control Studies Cognitive ability Computed tomography Computer simulation Cranial Cranial sutures Craniosynostoses - diagnostic imaging Craniosynostoses - surgery Craniosynostosis Cranium Female Frontal Bone - diagnostic imaging Frontal Bone - surgery Humans Image Interpretation, Computer-Assisted - methods Infant locally affine Male Mathematical models Orbit - diagnostic imaging Orbit - surgery Osteotomy Patients People with disabilities registration Shape Skull Surgery Surgery, Computer-Assisted - methods surgical plan |
| title | Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement |
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