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ONE-STEP FUNCTIONAL REGISTRATION FOR KINEMATIC ANALYSIS IN COMPUTER AIDED SURGERY
Nicola Lopomo(1,2), Francesca Colle(1,2), Cecilia Signorelli(1,3), Marco Bontempi(1), Matteo Baracchi(1), Andrea Visani(1)
1. Laboratorio di Biomeccanica e Innovazione Tecnologica, Istituto Ortopedico Rizzoli, Italy; 2. Laboratorio di Nano Biotecnologie – NaBi, Istituto Ortopedico Rizzoli,
Italy; 3. Dipartimento di Bioingegneria, Politecnico di Milano, Italy.
Introduction
Registration phase is a critical point both in gait
analysis and in computer assisted surgery.
Landmarks are usually necessary to define the
anatomic model specific for each patient. This
phase is quite time-costing and subjected to
operator errors. Several methods have been
implemented to define knee functional joint model,
starting from kinematic data [Reichl, 2010;
Martelli, 2002]. The goal of this study was to
describe a novel registration method able to define
through a single movement a knee functional
reference system.
Materials and Methods
25 patients undergoing ACL reconstruction were
included in the study. A standard registration
technique [Martelli, 2006] was performed and a
passive flexion/extension movement (PROM)
starting from full-extension position was acquired
by means of a navigation system (KLEE, BLU-
IGS, Orthokey, DE, USA). Hip joint center (HJC)
was identified using a transformation technique
[Siston, 2006] and, similarly, knee
flexion/extension axis (FEA) was estimated using a
novel symmetrical axis approach. The knee center
(KC) was identified through a 1-lambda evolution
strategy method [Cerveri, 2005] on the FEA,
minimizing varus-valgus angle and medial-lateral
displacement during the PROM. Internal/External
rotation axis (IEA) was defined as the axis joining
HJC and KC, whereas valgus/varus rotation axis
(VVA) was identified as the cross product between
IEA and FEA. We compared the differences in
kinematic decomposition [Grood, 1983] between
standard and functional registration on the PROM.
Figure 1: Mean angular and displacement
deviation with respect to the kinematics defined by
the standard registration.
Results
The mean differences in kinematics are reported in
figure 1. Maximum and minimum differences
between the kinematic are reported in table 1 and
table 2.
MAX MIN
f/e v/v i/e f/e v/v i/e
Mean 0.2 2.6 4.5 -0.2 -3.3 -3.5
STD 0.2 3.1 4.0 0.3 3.0 5.4
Table 1: Max/min angles deviations from
kinematics defined by the standard registrations.
MAX MIN
m/l a/p p/d m/l a/p p/d
Mean 1.3 14.2 3.7 -0.7 -1.5 -3.7
STD 1.2 4.8 3.7 0.8 2.3 3.8
Table 1: Max/min displacements deviations from
kinematics defined by the standard registrations.
Difference in the estimation of HJC is 34.5 ± 17.6
mm. Computational time is 15.7 ± 2.8 sec. The
average time for a complete functional registration
thus is about 22.7 ± 4.1 sec compared to 228 sec of
standard registration [Martelli, 2007].
Conclusions
The presented method reported good results when
compared to the standard registration technique;
only a/p displacement report important mean
difference, due to the estimation of KC position in
the sagittal plane. KC position can be better
estimated allowing in the optimization model not-
intersecting rotation axes. The procedure is
extremely time saving. Critical points are: the
correct estimation of the HJC (that can be improved
considering the introduction of some
abduction/adduction movement while flexing the
limb) and the limb starting position.
References
Cerveri P et al, Ann Bio Eng, 33(3):402-12, 2005.
Grood ES et al, J Bio Eng, 105:136-44, 1983.
Martelli S et al, CMBB, 5:175-85, 2002.
Martelli S et al, CBM, 37:872-8, 2007.
Herig RM et al, J Biomech, 40:2150-2157, 2007.
Reichl et al, MCMDS, 16:403-15, 2010
Siston et al, J Biomec, 39:125-30, 2006.
Presentation 1414 − Topic 06. Biomechanics for computer integrated surgery systems S65
ESB2012: 18th Congress of the European Society of Biomechanics Journal of Biomechanics 45(S1)