{"version":"6.9","hitCount":3,"request":{"queryString":"\"biomechanical modeling of facial tissue deformation\" OR \"incremental mechanics modeling of facial tissue\"","resultType":"core","cursorMark":"*","pageSize":5,"sort":"","synonym":false},"resultList":{"result":[{"id":"35362849","source":"MED","pmid":"35362849","pmcid":"PMC10348467","fullTextIdList":{"fullTextId":["PMC10348467"]},"doi":"10.1007/s11548-022-02596-1","title":"Deep learning for biomechanical modeling of facial tissue deformation in orthognathic surgical planning.","authorString":"Lampen N, Kim D, Fang X, Xu X, Kuang T, Deng HH, Barber JC, Gateno J, Xia J, Yan P.","authorList":{"author":[{"fullName":"Lampen N","lastName":"Lampen","firstName":"Nathan","initials":"N","authorId":{"type":"ORCID","value":"0000-0001-6125-6681"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA."}]}},{"fullName":"Kim D","lastName":"Kim","firstName":"Daeseung","initials":"D","authorId":{"type":"ORCID","value":"0000-0001-6270-5813"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute, Houston, TX, 77030, USA."}]}},{"fullName":"Fang X","lastName":"Fang","firstName":"Xi","initials":"X","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA."}]}},{"fullName":"Xu X","lastName":"Xu","firstName":"Xuanang","initials":"X","authorId":{"type":"ORCID","value":"0000-0002-6045-8457"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA."}]}},{"fullName":"Kuang T","lastName":"Kuang","firstName":"Tianshu","initials":"T","authorId":{"type":"ORCID","value":"0000-0002-9439-464X"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute, Houston, TX, 77030, USA."}]}},{"fullName":"Deng HH","lastName":"Deng","firstName":"Hannah H","initials":"HH","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute, Houston, TX, 77030, USA."}]}},{"fullName":"Barber JC","lastName":"Barber","firstName":"Joshua C","initials":"JC","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute, Houston, TX, 77030, USA."}]}},{"fullName":"Gateno J","lastName":"Gateno","firstName":"Jamie","initials":"J","authorId":{"type":"ORCID","value":"0000-0002-7597-6433"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute, Houston, TX, 77030, USA."},{"affiliation":"Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, New York, NY, 10021, USA."}]}},{"fullName":"Xia J","lastName":"Xia","firstName":"James","initials":"J","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute, Houston, TX, 77030, USA. jxia@houstonmethodist.org."},{"affiliation":"Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, New York, NY, 10021, USA. jxia@houstonmethodist.org."}]}},{"fullName":"Yan P","lastName":"Yan","firstName":"Pingkun","initials":"P","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA. yanp2@rpi.edu."}]}}]},"authorIdList":{"authorId":[{"type":"ORCID","value":"0000-0001-6125-6681"},{"type":"ORCID","value":"0000-0001-6270-5813"},{"type":"ORCID","value":"0000-0002-6045-8457"},{"type":"ORCID","value":"0000-0002-7597-6433"},{"type":"ORCID","value":"0000-0002-9439-464X"}]},"journalInfo":{"issue":"5","volume":"17","journalIssueId":3360371,"dateOfPublication":"2022 May","monthOfPublication":5,"yearOfPublication":2022,"journal":{"medlineAbbreviation":"Int J Comput Assist Radiol Surg","title":"International journal of computer assisted radiology and surgery","essn":"1861-6429","issn":"1861-6410","nlmid":"101499225","isoabbreviation":"Int J Comput Assist Radiol Surg"},"printPublicationDate":"2022-05-01"},"pubYear":"2022","pageInfo":"945-952","abstractText":"<h4>Purpose</h4>Orthognathic surgery requires an accurate surgical plan of how bony segments are moved and how the face passively responds to the bony movement. Currently, finite element method (FEM) is the standard for predicting facial deformation. Deep learning models have recently been used to approximate FEM because of their faster simulation speed. However, current solutions are not compatible with detailed facial meshes and often do not explicitly provide the network with known boundary type information. Therefore, the purpose of this proof-of-concept study is to develop a biomechanics-informed deep neural network that accepts point cloud data and explicit boundary types as inputs to the network for fast prediction of soft-tissue deformation.<h4>Methods</h4>A deep learning network was developed based on the PointNet++ architecture. The network accepts the starting facial mesh, input displacement, and explicit boundary type information and predicts the final facial mesh deformation.<h4>Results</h4>We trained and tested our deep learning model on datasets created from FEM simulations of facial meshes. Our model achieved a mean error between 0.159 and 0.642 mm on five subjects. Including explicit boundary types had mixed results, improving performance in simulations with large deformations but decreasing performance in simulations with small deformations. These results suggest that including explicit boundary types may not be necessary to improve network performance.<h4>Conclusion</h4>Our deep learning method can approximate FEM for facial change prediction in orthognathic surgical planning by accepting geometrically detailed meshes and explicit boundary types while significantly reducing simulation time.","affiliation":"Department of Biomedical Engineering and Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.","publicationStatus":"ppublish","language":"eng","pubModel":"Print-Electronic","pubTypeList":{"pubType":["research-article","Journal Article"]},"grantsList":{"grant":[{"agency":"National Institutes of Health","grantId":"R01 DE027251","orderIn":0},{"agency":"NIDCR NIH HHS","acronym":"DE","grantId":"R01 DE021863","orderIn":0},{"agency":"NIH HHS","acronym":"NH","grantId":"R01 DE021863","orderIn":0},{"agency":"NIDCR NIH HHS","acronym":"DE","grantId":"R01 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on the possibility of multi-layer intelligent technologies to achieve the best recover of musculoskeletal injuries: Smart materials, variable structures, and intelligent therapeutic planning.","authorString":"Guo N, Tian J, Wang L, Sun K, Mi L, Ming H, Zhe Z, Sun F.","authorList":{"author":[{"fullName":"Guo N","lastName":"Guo","firstName":"Na","initials":"N","authorId":{"type":"ORCID","value":"0000-0001-5985-5669"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Computer Science and Technology, Tsinghua University, Beijing, China."},{"affiliation":"Institute of Precision Medicine, Tsinghua University, Beijing, China."}]}},{"fullName":"Tian J","lastName":"Tian","firstName":"Jiawen","initials":"J","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Computer Science and Technology, Tsinghua University, Beijing, China."},{"affiliation":"Institute of Precision Medicine, Tsinghua University, Beijing, China."}]}},{"fullName":"Wang L","lastName":"Wang","firstName":"Litao","initials":"L","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"College of Engineering, China Agricultural University, Beijing, China."}]}},{"fullName":"Sun K","lastName":"Sun","firstName":"Kai","initials":"K","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Biomedical Engineering, Tsinghua University, Beijing, China."}]}},{"fullName":"Mi L","lastName":"Mi","firstName":"Lixin","initials":"L","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Musculoskeletal Department, Beijing Rehabilitation Hospital, Beijing, China."}]}},{"fullName":"Ming H","lastName":"Ming","firstName":"Hao","initials":"H","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Orthopaedics, Chinese PLA General Hospital, Beijing, China."}]}},{"fullName":"Zhe Z","lastName":"Zhe","firstName":"Zhao","initials":"Z","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Biomedical Engineering, Tsinghua University, Beijing, China."}]}},{"fullName":"Sun F","lastName":"Sun","firstName":"Fuchun","initials":"F","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Computer Science and Technology, Tsinghua University, Beijing, China."},{"affiliation":"Institute of Precision Medicine, Tsinghua University, Beijing, China."}]}}]},"authorIdList":{"authorId":[{"type":"ORCID","value":"0000-0001-5985-5669"},{"type":"ORCID","value":"0000-0002-2301-7257"}]},"dataLinksTagsList":{"dataLinkstag":["altmetrics","supporting_data"]},"journalInfo":{"volume":"10","journalIssueId":3307027,"dateOfPublication":"2022 ","monthOfPublication":0,"yearOfPublication":2022,"journal":{"medlineAbbreviation":"Front Bioeng Biotechnol","title":"Frontiers in bioengineering and 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To achieve the best recover of musculoskeletal injuries, three bottlenecks must be broken through, which includes scientific path planning, bioactive implants and personalized surgical channels building. As scientific surgical path can be planned and built by through AI technology, 4D printing technology can make more bioactive implants be manufactured, and variable structures can establish personalized channels precisely, it is possible to achieve satisfied and effective musculoskeletal injury recovery with the progress of multi-layer intelligent technologies (MLIT).","affiliation":"Department of Computer Science and Technology, Tsinghua University, Beijing, China.","publicationStatus":"epublish","language":"eng","pubModel":"Electronic-eCollection","pubTypeList":{"pubType":["review-article","Review","Journal Article"]},"grantsList":{"grant":[{"agency":"National Natural Science Foundation of China","orderIn":0}]},"keywordList":{"keyword":["Smart Materials","Best Recover Of Musculoskeletal","Intelligent Therapeutic Planning","Multi-Layer Intelligent Technologies","Variable Structures"]},"fullTextUrlList":{"fullTextUrl":[{"availability":"Open 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Nishi-ku, Fukuoka, 819-0395, Japan. osawakeisuke0@gmail.com."}]}},{"fullName":"Bandara DSV","lastName":"Bandara","firstName":"D S V","initials":"DSV","authorId":{"type":"ORCID","value":"0000-0002-8763-8474"},"authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan."}]}},{"fullName":"Nakadate R","lastName":"Nakadate","firstName":"Ryu","initials":"R","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Center for Advanced Medical Open Innovation, Kyushu University, Fukuoka, 812-8582, Japan."}]}},{"fullName":"Nagao Y","lastName":"Nagao","firstName":"Yoshihiro","initials":"Y","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Advanced Medicine and Innovative Technology, Kyushu University Hospital, Fukuoka, 812-8582, Japan."}]}},{"fullName":"Akahoshi T","lastName":"Akahoshi","firstName":"Tomohiko","initials":"T","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Advanced Medical Initiatives, Graduate School of Medical Science, Kyushu University, Fukuoka, 812-8582, Japan."}]}},{"fullName":"Eto M","lastName":"Eto","firstName":"Masatoshi","initials":"M","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Center for Advanced Medical Open Innovation, Kyushu University, Fukuoka, 812-8582, Japan."},{"affiliation":"Department of Advanced Medicine and Innovative Technology, Kyushu University Hospital, Fukuoka, 812-8582, Japan."}]}},{"fullName":"Arata J","lastName":"Arata","firstName":"Jumpei","initials":"J","authorAffiliationDetailsList":{"authorAffiliation":[{"affiliation":"Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan."}]}}]},"authorIdList":{"authorId":[{"type":"ORCID","value":"0000-0002-8763-8474"},{"type":"ORCID","value":"0000-0003-1946-0763"}]},"dataLinksTagsList":{"dataLinkstag":["altmetrics"]},"journalInfo":{"issue":"1","volume":"18","journalIssueId":3495835,"dateOfPublication":"2023 Jan","monthOfPublication":1,"yearOfPublication":2023,"journal":{"medlineAbbreviation":"Int J Comput Assist Radiol Surg","title":"International journal of computer assisted radiology and surgery","essn":"1861-6429","issn":"1861-6410","nlmid":"101499225","isoabbreviation":"Int J Comput Assist Radiol Surg"},"printPublicationDate":"2023-01-01"},"pubYear":"2023","pageInfo":"1-8","abstractText":"<h4>Purpose</h4>Gastrointestinal cancer can be treated using a flexible endoscope through a natural orifice. However, treatment instruments with limited degrees of freedom (DOFs) require a highly skilled operator. Articulated devices useful for endoluminal procedures, such as endoscopic submucosal dissection and biopsy, have been developed. These devices enable dexterous operation in a narrow lumen; however, they suffer from limitations such as large size and high cost. To overcome these limitations, we developed a 2.5-mm articulated forceps that can be inserted into a standard endoscope channel based on a compliant mechanism.<h4>Methods</h4>The compliant mechanism allows the device to be compact and affordable, which is possible due to its monolithic structure. The proposed mechanism consists of two segments, 1-DOF grasping and 2-DOF bending, that are actuated by tendon-sheath mechanisms. A prototype was designed based on finite element analysis results.<h4>Results</h4>To confirm the effectiveness of the proposed mechanism, we fabricated the prototype using a 3D printer. A series of mechanical performance tests on the prototype revealed that it achieved the following specifications: (1) DOF: 1-DOF grasping + 2-DOF bending, (2) outer diameter: 2.5 mm, (3) length of the bending segment: 30 mm, and (4) range of motion: [Formula: see text] to [Formula: see text] (grasping) and [Formula: see text] to [Formula: see text] (bending). Finally, we performed a tissue manipulation test on an excised porcine colon and found that a piece of mucous membrane tissue was successfully resected using an electric knife while being lifted with the developed forceps.<h4>Conclusion</h4>The results of the evaluation experiment demonstrated a positive feasibility of the proposed mechanism, which has a simpler structure compared to those of other conventional mechanisms; furthermore, it is potentially more cost-effective and is disposable. The mechanical design, prototype implementation, and evaluations are reported in this paper.","affiliation":"Department of Mechanical Engineering, Faculty of Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan. osawakeisuke0@gmail.com.","publicationStatus":"ppublish","language":"eng","pubModel":"Print-Electronic","pubTypeList":{"pubType":["calendar","Journal Article"]},"grantsList":{"grant":[{"agency":"JSTSPRING","grantId":"JPMJSP2136","orderIn":0}]},"meshHeadingList":{"meshHeading":[{"majorTopic_YN":"N","descriptorName":"Animals"},{"majorTopic_YN":"N","descriptorName":"Swine"},{"majorTopic_YN":"N","descriptorName":"Biopsy"},{"majorTopic_YN":"N","descriptorName":"Equipment Design"},{"majorTopic_YN":"Y","descriptorName":"Endoscopes"},{"majorTopic_YN":"N","descriptorName":"Surgical Instruments"},{"majorTopic_YN":"Y","descriptorName":"Robotic Surgical Procedures","meshQualifierList":{"meshQualifier":[{"majorTopic_YN":"N","abbreviation":"MT","qualifierName":"methods"}]}}]},"keywordList":{"keyword":["Medical Robotics","Endoscopic Submucosal Dissection","Compliant Mechanism","Endoluminal Instrument"]},"subsetList":{"subset":[{"code":"IM","name":"Index Medicus"}]},"fullTextUrlList":{"fullTextUrl":[{"availability":"Subscription required","availabilityCode":"S","documentStyle":"doi","site":"DOI","url":"https://doi.org/10.1007/s11548-022-02726-9"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"html","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC10233546"},{"availability":"Open access","availabilityCode":"OA","documentStyle":"pdf","site":"Europe_PMC","url":"https://europepmc.org/articles/PMC10233546?pdf=render"}]},"isOpenAccess":"Y","inEPMC":"Y","inPMC":"Y","citedByCount":3,"hasReferences":"Y","hasTextMinedTerms":"Y","hasDbCrossReferences":"N","hasPDF":"Y","hasBook":"N","hasSuppl":"N","hasLabsLinks":"Y","hasData":"N","authMan":"N","epmcAuthMan":"N","nihAuthMan":"N","hasTMAccessionNumbers":"N","dateOfCompletion":"2023-01-31","dateOfCreation":"2022-08-03","dateOfRevision":"2023-07-02","electronicPublicationDate":"2022-08-03","firstPublicationDate":"2022-08-03","firstIndexDate":"2022-08-05","fullTextReceivedDate":"2023-06-05","hasEvaluations":"N"}]}}