A Semi-automated Method Using Interpolation and Optimisation for the 3D Reconstruction of the Spine from Bi-planar Radiography: a Precision and Accuracy Study

Overview

Journal Med Biol Eng Comput

Publisher Springer

Specialties Biomedical Engineering
Medical Informatics

Date 2007 Sep 18

PMID 17874152

Citations 11

Authors

Raphael Dumas

Bertrand Blanchard

Robert Carlier

Christian Garreau de Loubresse

Jean-Charles Le Huec

Catherine Marty

Maryse Moinard

Jean-Marc Vital

Affiliations

Soon will be listed here.

Abstract

The 3D reconstruction of the spine in upright posture can be obtained by bi-planar radiographic methods, developed since the 1970s. The principle is to identify 4-25 anatomical landmarks per vertebrae and per images. This identification time is hardly manageable in clinical practice. A semi-automated method is used: 3D standard vertebral models are positioned along with a 3D curve (identified all the way through the vertebral bodies). The silhouettes of the models of C7 and L5 vertebrae are first adjusted and the positions of the other vertebrae are interpolated and optimised. The inter- and intra-operator variabilities and the errors between the semi-automated method and the manual identification of six anatomical landmarks per vertebra are evaluated on 20 pairs of X-ray images of subjects with different spinal deformities. The identification time for the semi-automated method is 5 min. For scolitic subjects, the precision is under 2.2 degrees and the accuracy is under 3.2 degrees for all lateral, sagittal and axial rotations.

Citing Articles

Identification of a lumped-parameter model of the intervertebral joint from experimental data.

Gould S, Davico G, Palanca M, Viceconti M, Cristofolini L Front Bioeng Biotechnol. 2024; 12:1304334.

PMID: 39104629 PMC: 11298350. DOI: 10.3389/fbioe.2024.1304334.

Assessment of spinal alignment in standing position using Biplanar X-ray images and three-dimensional vertebral models.

Kobayashi K, Sakamoto M, Sasagawa K, Nakai M, Okamoto M, Hasegawa K Porto Biomed J. 2024; 9(3):256.

PMID: 38903393 PMC: 11186800. DOI: 10.1097/j.pbj.0000000000000256.

Patient-specific 3D models created by 3D imaging system or bi-planar imaging coupled with Moiré-Fringe projections: a comparative study of accuracy and reliability on spinal curvatures and vertebral rotation data.

Hocquelet A, Cornelis F, Jirot A, Castaings L, de Seze M, Hauger O Eur Spine J. 2016; 25(10):3154-3161.

PMID: 27323963 DOI: 10.1007/s00586-016-4659-1.

Improving Visibility of Stereo-Radiographic Spine Reconstruction with Geometric Inferences.

Kumar S, Nayak K, Hareesha K J Digit Imaging. 2015; 29(2):226-34.

PMID: 26537930 PMC: 4788621. DOI: 10.1007/s10278-015-9841-1.

Multi-view stereophotogrammetry for post-mastectomy breast reconstruction.

Ju X, Henseler H, Jian-Qiao Peng M, Khambay B, Ray A, Ayoub A Med Biol Eng Comput. 2015; 54(2-3):475-84.

PMID: 26133282 DOI: 10.1007/s11517-015-1334-3.

References

Petit Y, Aubin C, Labelle H . Spinal shape changes resulting from scoliotic spine surgical instrumentation expressed as intervertebral rotations and centers of rotation. J Biomech. 2004; 37(2):173-80. DOI: 10.1016/s0021-9290(03)00310-5. View

Tredwell S, Sawatzky B, Hughes B . Rotations of a helix as a model for correction of the scoliotic spine. Spine (Phila Pa 1976). 1999; 24(12):1223-7. DOI: 10.1097/00007632-199906150-00009. View

Gangnet N, Pomero V, Dumas R, Skalli W, Vital J . Variability of the spine and pelvis location with respect to the gravity line: a three-dimensional stereoradiographic study using a force platform. Surg Radiol Anat. 2003; 25(5-6):424-33. DOI: 10.1007/s00276-003-0154-6. View

Plamondon A, Gagnon M, Maurais G . Application of a stereoradiographic method for the study of intervertebral motion. Spine (Phila Pa 1976). 1988; 13(9):1027-32. DOI: 10.1097/00007632-198809000-00010. View

Labelle H, Dansereau J, Bellefleur C, JEQUIER J . Variability of geometric measurements from three-dimensional reconstructions of scoliotic spines and rib cages. Eur Spine J. 1995; 4(2):88-94. DOI: 10.1007/BF00278918. View

Stokes I . Three-dimensional terminology of spinal deformity. A report presented to the Scoliosis Research Society by the Scoliosis Research Society Working Group on 3-D terminology of spinal deformity. Spine (Phila Pa 1976). 1994; 19(2):236-48. View

Pomero V, Mitton D, Laporte S, De Guise J, Skalli W . Fast accurate stereoradiographic 3D-reconstruction of the spine using a combined geometric and statistic model. Clin Biomech (Bristol). 2004; 19(3):240-7. DOI: 10.1016/j.clinbiomech.2003.11.014. View

Dumas R, Steib J, Mitton D, Lavaste F, Skalli W . Three-dimensional quantitative segmental analysis of scoliosis corrected by the in situ contouring technique. Spine (Phila Pa 1976). 2003; 28(11):1158-62. DOI: 10.1097/01.BRS.0000068242.29809.D0. View

Villemure I, Aubin C, Grimard G, Dansereau J, Labelle H . Progression of vertebral and spinal three-dimensional deformities in adolescent idiopathic scoliosis: a longitudinal study. Spine (Phila Pa 1976). 2001; 26(20):2244-50. DOI: 10.1097/00007632-200110150-00016. View

10.

RUSSELL G, Raso V, Hill D, McIvor J . A comparison of four computerized methods for measuring vertebral rotation. Spine (Phila Pa 1976). 1990; 15(1):24-7. DOI: 10.1097/00007632-199001000-00007. View

11.

Delorme S, Petit Y, de Guise J, Labelle H, Aubin C, Dansereau J . Assessment of the 3-d reconstruction and high-resolution geometrical modeling of the human skeletal trunk from 2-D radiographic images. IEEE Trans Biomed Eng. 2003; 50(8):989-98. DOI: 10.1109/TBME.2003.814525. View

12.

Delorme S, Labelle H, Poitras B, Rivard C, Coillard C, Dansereau J . Pre-, intra-, and postoperative three-dimensional evaluation of adolescent idiopathic scoliosis. J Spinal Disord. 2000; 13(2):93-101. DOI: 10.1097/00002517-200004000-00001. View

13.

Delorme S, Labelle H, Aubin C, de Guise J, Rivard C, Poitras B . A three-dimensional radiographic comparison of Cotrel-Dubousset and Colorado instrumentations for the correction of idiopathic scoliosis. Spine (Phila Pa 1976). 2000; 25(2):205-10. DOI: 10.1097/00007632-200001150-00010. View

14.

Benameur S, Mignotte M, Parent S, Labelle H, Skalli W, De Guise J . 3D/2D registration and segmentation of scoliotic vertebrae using statistical models. Comput Med Imaging Graph. 2003; 27(5):321-37. DOI: 10.1016/s0895-6111(03)00019-3. View

15.

Dansereau J, Stokes I . Measurements of the three-dimensional shape of the rib cage. J Biomech. 1988; 21(11):893-901. DOI: 10.1016/0021-9290(88)90127-3. View

16.

Pearcy M . Stereo radiography of lumbar spine motion. Acta Orthop Scand Suppl. 1985; 212:1-45. DOI: 10.3109/17453678509154154. View

17.

Duong L, Cheriet F, Labelle H . Three-dimensional classification of spinal deformities using fuzzy clustering. Spine (Phila Pa 1976). 2006; 31(8):923-30. DOI: 10.1097/01.brs.0000209312.62384.c1. View

18.

Skalli W, Zeller R, Miladi L, Bourcereau G, Savidan M, Lavaste F . Importance of pelvic compensation in posture and motion after posterior spinal fusion using CD instrumentation for idiopathic scoliosis. Spine (Phila Pa 1976). 2006; 31(12):E359-66. DOI: 10.1097/01.brs.0000219402.01636.87. View

19.

Gille O, Champain N, Benchikh-El-Fegoun A, Vital J, Skalli W . Reliability of 3D reconstruction of the spine of mild scoliotic patients. Spine (Phila Pa 1976). 2007; 32(5):568-73. DOI: 10.1097/01.brs.0000256866.25747.b3. View

20.

de Smet A, Tarlton M, Cook L, Berridge A, Asher M . The top view for analysis of scoliosis progression. Radiology. 1983; 147(2):369-72. DOI: 10.1148/radiology.147.2.6340156. View