TY - JOUR
T1 - Development and Evaluation of a Rib Statistical Shape Model for Thoracic Surgery
AU - Pontiki, Antonia A
AU - De Angelis, Sara
AU - Dibblin, Connor
AU - Trujillo-Cortes, Isabella
AU - Lamata, Pablo
AU - Housden, Richard
AU - Benedetti, Giulia
AU - Bille, Andrea
AU - Rhode, Kawal
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by core funding from the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.
Funding Information:
*Research supported by the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London.
Funding Information:
Research supported by the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London.
Publisher Copyright:
© 2022 IEEE.
PY - 2022/7/11
Y1 - 2022/7/11
N2 - Patients with advanced cancer undergoing chest wall resection may require reconstruction. Currently, rib prostheses are created by segmenting computed tomography images, which is time-consuming and labour intensive. The aim was to optimise the production of digital rib models based on a patient's age, weight, height and gender. A statistical shape model of human ribs was created and used to synthetise rib models, which were compared to the ones produced by segmentation and mirroring. The segmentation took 11.56-1.60 min compared to 0.027 -0.009 using the new technique. The average mesh error between the mirroring technique and segmentation was 0.58-0.25 mm (right ribs), and 0.87-0.18 mm (left ribs), compared to 1.37-0.66 mm ({p} < 0.0001) and 1.68 -0.77 mm ({p} < 0.05), respectively, for the new technique. The new technique is promising for the efficiency and ease-of-use in the clinical environment. Clinical Relevance - This is an optimised 3D modelling method providing clinicians with a time-efficient technique to create patient-specific rib prostheses, without any expertise or software knowledge required.
AB - Patients with advanced cancer undergoing chest wall resection may require reconstruction. Currently, rib prostheses are created by segmenting computed tomography images, which is time-consuming and labour intensive. The aim was to optimise the production of digital rib models based on a patient's age, weight, height and gender. A statistical shape model of human ribs was created and used to synthetise rib models, which were compared to the ones produced by segmentation and mirroring. The segmentation took 11.56-1.60 min compared to 0.027 -0.009 using the new technique. The average mesh error between the mirroring technique and segmentation was 0.58-0.25 mm (right ribs), and 0.87-0.18 mm (left ribs), compared to 1.37-0.66 mm ({p} < 0.0001) and 1.68 -0.77 mm ({p} < 0.05), respectively, for the new technique. The new technique is promising for the efficiency and ease-of-use in the clinical environment. Clinical Relevance - This is an optimised 3D modelling method providing clinicians with a time-efficient technique to create patient-specific rib prostheses, without any expertise or software knowledge required.
UR - http://www.scopus.com/inward/record.url?scp=85138128017&partnerID=8YFLogxK
U2 - 10.1109/EMBC48229.2022.9870985
DO - 10.1109/EMBC48229.2022.9870985
M3 - Article
C2 - 36085707
SN - 2375-7477
VL - 2022
SP - 3758
EP - 3763
JO - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
JF - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
ER -
