Home Advanced wettability analysis of implant surfaces
Article Open Access

Advanced wettability analysis of implant surfaces

  • Herbert P. Jennissen EMAIL logo
Published/Copyright: September 30, 2016

Abstract

New methodologies are a major driving force of scientific progress. In this case the finding that contact angles can be expressed as complex numbers offers the possibility of a much refined analysis beyond zero degrees of rough ultra-/superhydrophilic, (now called hyperhydrophilic), metal surfaces, which play a distinct role in dental and orthopedic implantology. The approaches, a short theoretical introduction and examples from medical applications are given.

1 Introduction

Historically there have been two approaches to complex contact angles. In the first approach of 2011 [1] we reported that Wilhelmy balance data of rough surfaces in the ultra-/superhydrophilic range often cause forces leading to values of cos θ > 1, which at that time had been termed as undefined and erroneous. We showed that the solution of this inequality is an imaginary number, which we interpreted as a dynamic imaginary contact angle, for the case that the real part of the underlying complex contact angle (i.e. intrinsic contact angle) is zero [2]. Concerning the question of a “physical basis”, we felt that such a basis, which may as well be a “chemical basis”, is important but not mandatory for an applied mathematical necessity (see [2]). This approach immediately enabled a novel analysis of hyperhydrophilic surfaces on dental implants [3], [4]. It should be recalled that according to current doctrine all ultra-/superhydrophilic surfaces by definition have the peculiarity of possessing the same lowest contact angle of zero degrees. According to our view this is incorrect, since imaginary or complex contact angles can be assigned to many of these surfaces, which we have termed “hyperhydrophilic” to distinguish them from ultra-/superhydrophilic surfaces [5]. In the second approach of 2015 [6] we showed that in principle it is also possible to calculate complex contact angles from the complex surface tension of water [7]. The complex surface tension of water [7], [8] remains to be further investigated. On the other hand the second approach enables a calculation of the surface tension from dynamic complex contact angles. Thus, for the experimentally derived complex contact angle ΘAdv = 1° + 12.8i° [2], an apparent complex surface tension of water of σLV* = 73 + 0.28i mN/m [6] can be calculated. Complex contact angles offer a novel analytical tool especially for highly wettable surfaces.

2 Material and methods

Titanium miniplates either machined [3], [9] or titanium plasma sprayed (TPS) [10] and the acid etching methods for preparation of sandblasted, acid etched (SLA) [3] and chromosulfuric acid etched (CSA) surfaces [9] have been described. Dental implants (SLA, Morphoplant GmbH, Bochum Germany; total length: 13 mm; thread length: 7 mm; ∅ collar: 5 mm; perimeter 13.35 mm [4]) were used. Wilhelmy balance measurements were made on a Tensiometer DCAT 11 EC (Dataphysics, Filderstadt, Germany) with a weight resolution of 10 μg in ultrapure water. The SCAT software package (Vers. 3.2.2.86), which wrongly reports imaginary contact angles as zero instead of undefined, was adapted for calculating baseline corrections [3] and imaginary contact angles [1, 3, 11]. For baseline correction the baseline difference is subtracted from all values of the wetted sample but not from those of the dry sample i.e. advancing baseline [3], [11]. Intrinsic contact angles may be determined on smooth or defined as smooth surfaces [2] dynamically or by a picoliter sessile drop method (OCA 40 Microdevice; Dataphysics) [4]. As of nomenclature [6], classical contact angles in real number space are denoted by a lower case or small theta (θ), complex contact angles by an upper case or capital theta (Θ) and imaginary contact angles by a small lambda (λ). Contact angles directly calculated from the force measurements without buoyancy correction (θV, ΘV) are called virtual dynamic contact angles [5]. Hybrid dynamic contact angles combine an advancing contact angle in real number space with a receding contact angle in imaginary number space [5]. For other terminology see [5].

2.1 Theoretical considerations

According to Young a contact angle is defined as the angle θY formed by a liquid such as water on an ideal solid at the three phase boundary, where liquid (L), vapour (V) and solid (S) forming the interfacial tensions (σ) of the contacting boundaries at equilibrium according to the equation:

(1)cosθY=σSVYσSLYσLVY

Recently we described contact angles as complex numbers consisting of a real part (Young contact angle) and an imaginary part (imaginary contact angle) [2]:

(2)Θ={θY}+{λi}  []

where Θ is the observed (effective) complex contact angle {θY} the real or Young contact angle and {λ} the imaginary part together with the imaginary unit i (imaginary contact angle, [2]). Experimentally the intrinsic contact angle {θ0} is defined as {θ0} ∼ {θY} ([2]; see below).

The second approach to complex contact angles [6] is based on the reports of Xiong et al. [7], [8], which indicate that the surface tension of water (σLV*) is a complex quantity consisting of a real and an imaginary part in the form of σLV* = 73 + 17i mN/m at 26 °C [7].

Assuming this is correct, the Young equation can be rewritten as a complex number: Insertion of the complex surface tension into the Young equation (eq. 1) converts the Young equation to a complex contact angle equation:

(3)cosΘ=σSV0σSL0(σLV0+σi′′LVC)

Where Θ is a complex contact angle, the terms σSV0 (solid-vapor surface tension), σSL0 (solid liquid interfacial tension) and σLV0 (73 mN/m) i.e. the real part of the surface tension carries the subscript 0 indicating intrinsic conditions (e.g. the intrinsic contact angle). The term σLV′′ with the subscript denotes the imaginary component of the complex surface tension. If σ=′′LV0, then eq. 3 reduces to eq. 1, i.e. the classical Young equation [2].

The complex surface tension of water can also be inserted into the buoyancy abridged Wilhelmy equation, which for ideal conditions has the following form:

(4)cosθY=FP×σLVY

where F is the measured net force, P is the perimeter of the sample, σLVY the classical i.e. Young surface tension of water and θY the dynamic Young contact angle with absent hysteresis.

Substituting the complex surface tension into eq. 4 we obtain the Wilhelmy equation for complex contact angles:

(5)cosΘ=FP(1σLV0+σi′′LVC)

which after rearrangements leads to two equations, the first of which is a complex trigonometric number according to:

(6)cosΘ=AF(σLV0σi′′LV)

With the constant A=[P(σLV02+σ2′′LVC)]1. In equation 6 the cosine of the contact angle is directly proportional to the force of the Wilhelmy balance and the complex surface tension of water. The second resulting equation is:

(7)secΘ=PF(σLV0+σi′′LV)

Thus the secant of the complex contact angle Θ is equal to the product of the ratio P/F and the complex surface tension also leading to a complex trigonometric number.

The imaginary part of complex contact angles was however discovered in the first approach in a more direct manner and may indicate a different origin of complex contact angles. It was found that measurements made on highly hydrophilic rough titanium surfaces with the Wilhelmy balance constantly led to force values leading to cos θ > 1 [1], which according to current dogma are undefined. In reality however, the solution to the inequality cos θ > 1 is the imaginary part of a complex contact angle [1]. In order to account for the additional forces exerted by rough surfaces in the Wilhelmy balance, an extended Wilhelmy equation was suggested [11]:

(8)cosΘ=FW+κFΣFImbPγ

where FW is the Wilhlemy force and FΣ is the sum of all additional forces acting on the miniplate that are not accounted for by the Young equation and κ is a constant. FImb is the force exerted by the impregnation or imbibition of the rough microstructure with water, which can be corrected for by baseline correction. This is the equation with a wide applicability to the analysis and study of surfaces of a given solid when not smooth according to the definition of Dettre et al. 1967 [2], [13]. Examples for the application of this equation to rough titanium surfaces of dental implants are given in the reports [3], [4].

3 Results and discussion

Complex numbers can be displayed in two forms, either in cartesian form z = a + bi which for contact angles becomes:

(9)z=Θ={θ0}+{λi}  []

with the intrinsic real part {θ0} and the imaginary part {λi} or in polar form as vector diagrams in a Gaussian number plane with the ordinate (Im) for imaginary numbers and the abscissa (re) for real numbers (see Figure 1). The diagonal vector rΘ is the modulus or magnitude of Θ. The vector rΘ also forms the argument or phase angle φ (tan φ = Im/Re) with the abscissa and is a non-negative real number —Θ— defined by the following absolute value equation as:

(10)rΘ=|Θ|=θY2+λ2
Figure 1: Theoretical complex contact angles in the form of vectors in the Gaussian number plane. (A) Classical contact angles e.g. Θ = 8° + 0i°: rθ${}_{\theta}$ = —θ0— = 8° with the phase angle φ = 0°. (B) Complex contact angles (hydrophilic): e.g. Θ = 10° + 8i°: rθ${}_{\theta}$ = —Θ— = 12.8° with a positive phase angle φ = 38.7°. (C) Imaginary contact angles e.g. Θ = 0° ± 4i°: rθ${}_{\theta}$. = —λ— = ± 4i°, phase angle φ = ± 90°. (D) Complex contact angles (hydrophobic): e.g. Θ = 100° −125i°: rθ${}_{\theta}$ = —Θ— = 160° i.e. negative phase angle φ = −38.7°. For further details see eq. 10, ref. [2], [6] and the text. CA: contact angle
Figure 1:

Theoretical complex contact angles in the form of vectors in the Gaussian number plane. (A) Classical contact angles e.g. Θ = 8° + 0i°: rθ = —θ0— = 8° with the phase angle φ = 0°. (B) Complex contact angles (hydrophilic): e.g. Θ = 10° + 8i°: rθ = —Θ— = 12.8° with a positive phase angle φ = 38.7°. (C) Imaginary contact angles e.g. Θ = 0° ± 4i°: rθ. = —λ— = ± 4i°, phase angle φ = ± 90°. (D) Complex contact angles (hydrophobic): e.g. Θ = 100° −125i°: rθ = —Θ— = 160° i.e. negative phase angle φ = −38.7°. For further details see eq. 10, ref. [2], [6] and the text. CA: contact angle

The hydrophilic and hydrophobic ranges can be defined in two ways: (i) Approach 1: According to the complex contact angle Θ < 90° = hydrophilic, Θ > 90° = hydrophobic [2] or (ii) Approach 2: according to the Young contact angle (eq. 1) θY < 90° = hydrophilic, θY > 90° = hydrophobic [6]. Both definitions have their pros and cons but being based on the Young equation appears most reasonable.

Crucial is the directionality of the vector rΘ in order to avoid identical imaginary contact angles in the hydrophilic and hydrophobic ranges. In contrast to a previous suggestion [2] the directionality of the modulus can be mathematically based on eqs. 6 & 7 [6]. Calculations show that for θY < 90° the imaginary part is positive and for θY > 90° the imaginary part is negative. In Figure 1A–C the vector of the imaginary part is upward (positive) and in Figure 1C and D the vector of the imaginary part is downward. Thus hydrophilic and hydrophobic complex contact angles are complex conjugates.

As shown below, complex contact angles are of great utility in the analysis of highly wettable microstructured medicinal surfaces e.g. current dental implants.

A dilemma of superhydrophilic surfaces is that they all have the same dynamic contact angle of zero degrees (Table 1) irrespective of the surface roughness (Ra), which varies from 1–2 nm for highly cleaned smooth glass, to 2–3 μm for a SLA surface and up to 30 μm for a titanium plasma sprayed (TPS) surface. It is demonstrated in that according to the novel Wilhelmy evaluation only the quartz glass surface (Table 1A) is ultrahydrophilic (i.e. θA/θR ∼ 0°/0°). Both the SLA- and TPS-surfaces are hyperhydrophilic with the SLA surface (Table 1B) characterized by the dynamic imaginary contact angles ΘAR = 6.4i° ± 3.2i°/8.3i° ± 2.4i° and the TPS surface (Table 1C) by ΘAR = 10.9i° ± 2.1i°/13.5i° ± 0.9i°.

Table 1:

Comparison of the classical Wilhelmy (real contact angles) and novel Wilhelmy evaluation (imaginary contact angles) of force measurements on super-/hyperhydrophilic surfaces of varying surface roughness.

Samples of varying roughnessA. Quartz glass surface

(Ra ∼ 1–2 nm) [13]
B. Titanium SLA surface

(Ra ∼ 2–3 μm, rm ∼ 3) [3]
C . Titanium TPS surface

(Ra ∼ 30 μm, rm ∼ 20) [10]
AdvancingRecedingAdvancingRecedingAdvancingReceding
Classical Wilhelmy (Eq. 4)θA = 0°θR = 0°θA = undefinedθR = undefinedθA = undefinedθR = undefined
Novel Wilhelmy (Eq. 8) [10]θA = 0°θR = 0°θA = 6.4i° ± 3.2i° (n = 15)θR = 8.3i° ± 2.4i° (n = 15)θA = 10.9i° ± 2.1i° (n = 5)θR = 13.5i° ± 0.9i° (n = 5)

Finally an example of a Wilhelmy profile of a dental SLA type implant is shown in Figure 2. Conspicuous is the difference in the baseline level between the advancing and the receding trajectory. This difference of 22 mg is due to water imbibition by the rough surface (eq. 8). Since the water uptake mimics a false force (i.e. contact angle) it has to be subtracted from the weight yielding the imaginary dynamic contact angles ΘAR = 24.2i°/27.1i° with minimal hysteresis.

Figure 2 Wilhelmy profile of a dental implant with an SLA surface without baseline correction. “Classical” dynamic contact angles were undefined. Sessile pico drop analysis gave a contact angle of 0°. The variable wetted length of the implant was accounted for [4]. The obtained complex contact angles after baseline correction for imbibition (baseline difference: 22 mg; see eq. 8) were determined to: ΘA = 24.2i°, ΘR = 27.1i°. Ra ∼ 2.2 μm [3]. For further details see Methods and ref. [4]. From [4].
Figure 2

Wilhelmy profile of a dental implant with an SLA surface without baseline correction. “Classical” dynamic contact angles were undefined. Sessile pico drop analysis gave a contact angle of 0°. The variable wetted length of the implant was accounted for [4]. The obtained complex contact angles after baseline correction for imbibition (baseline difference: 22 mg; see eq. 8) were determined to: ΘA = 24.2i°, ΘR = 27.1i°. Ra ∼ 2.2 μm [3]. For further details see Methods and ref. [4]. From [4].

In conclusion: Although some aspects of complex contact angles are still unclear, they have proven to be very useful in the analysis of highly wettable rough medicinal surfaces.

Author’s Statement

Research funding: The author state no funding involved. Conflict of interest: Authors state no conflict of interest. Material and Methods: Informed consent: Informed consent is not applicable. Ethical approval: The conducted research is not related to either human or animal use.

References

[1] Jennissen HP. Redefining the Wilhelmy and Young equations to imaginary number space and implications for wettability measurements. Materialwiss. Werkstofftech. Mater Sci Eng Technol. 2011;42:1111–7.10.1002/mawe.201100920Search in Google Scholar

[2] Jennissen HP. A general mathematical form and description of contact angles. Materialwiss. Werkstofftech. Mat Sci Engineer Technol. 2014;45:961–9.10.1002/mawe.201400296Search in Google Scholar

[3] Lüers S, Seitz C, Laub M, Jennissen HP. On the utility of imaginary contact angles in the characterization of wettability of rough medicinal hydrophilic titanium. In: Advances in Contact Angle, Wettability and Adhesion. Mittal KL, editor. Salem, MA: Wiley-Scrivener; 2013. p. 155–72.10.1002/9781118795620.ch9Search in Google Scholar

[4] Lüers S, Seitz C, Laub M, Jennissen HP. Contact angle measurement on dental implants. Biomed Tech (Berl). 2014;59:180–3.Search in Google Scholar

[5] Jennissen HP. Hyperhydrophilicity and imaginary contact angles. Materialwiss. Werkstofftech. Mater Sci Eng Technol. 2012;43:743–50.Search in Google Scholar

[6] Jennissen HP. On the origin of the imaginary part of complex contact angles. Materialwiss. Werkstofftech. Mat Sci Engineer Technol. 2015;46:786–95.10.1002/mawe.201500437Search in Google Scholar

[7] Xiong XM, Chen L, Zuo WL, Li LF, Yang YB, Pang ZY, et al. Imaginary part of surface tension of water. Chin Phys Lett. 2014;31:076801-1–4.10.1088/0256-307X/31/7/076801Search in Google Scholar

[8] Chen L, Zuo WL, Li L, Yang Y, Zhang JX, Xiong XM. Role of complex surface tension in the dispersion relation of a capillary wave. J Phys Chem C. 2014;118:26877–81.10.1021/jp509191bSearch in Google Scholar

[9] Lattner D, Jennissen HP. Preparation and properties of ultra-hydrophilic surfaces on titanium and steel. Materialwiss. Werkstofftech. Mater Sci Eng Technol. 2009;40:109–16.10.1002/mawe.200800416Search in Google Scholar

[10] Jennissen HP. Contact angles in imaginary number space: A novel tool for probing the remaining mysteries of ultrahydrophilicity and superhydrophilicity. Mater Res Soc Symp Proc. 2014;1614:1–6.10.1557/opl.2014.352Search in Google Scholar

[11] Jennissen HP. Hyperhydrophilic rough surfaces and imaginary contact angles. Materialwiss. Werkstofftech. Mater. Sci. Eng. Technol. 2012;43:743–50.10.1002/mawe.201200961Search in Google Scholar

[12] Dettre RH, Jackson HL, Johnson R.E. Water-repellant surface. Priority date: Mar.31, 1964. US 3354022, pp. 1–8 (3 Figs). 1967. US Patent Office.Search in Google Scholar

[13] Jennissen HP. Ultra-hydrophilic transition metals as histophilic biomaterials. Macromol Symp. 2005;225:43–6910.1002/masy.200550705Search in Google Scholar

Published Online: 2016-9-30
Published in Print: 2016-9-1

©2016 Herbert P. Jennissen et al., licensee De Gruyter.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Articles in the same Issue

  1. Synthesis and characterization of PIL/pNIPAAm hybrid hydrogels
  2. Novel blood protein based scaffolds for cardiovascular tissue engineering
  3. Cell adhesion and viability of human endothelial cells on electrospun polymer scaffolds
  4. Effects of heat treatment and welding process on superelastic behaviour and microstructure of micro electron beam welded NiTi
  5. Long-term stable modifications of silicone elastomer for improved hemocompatibility
  6. The effect of thermal treatment on the mechanical properties of PLLA tubular specimens
  7. Biocompatible wear-resistant thick ceramic coating
  8. Protection of active implant electronics with organosilicon open air plasma coating for plastic overmolding
  9. Examination of dielectric strength of thin Parylene C films under various conditions
  10. Open air plasma deposited antimicrobial SiOx/TiOx composite films for biomedical applications
  11. Systemic analysis about residual chloroform in PLLA films
  12. A macrophage model of osseointegration
  13. Towards in silico prognosis using big data
  14. Technical concept and evaluation of a novel shoulder simulator with adaptive muscle force generation and free motion
  15. Usability evaluation of a locomotor therapy device considering different strategies
  16. Hypoxia-on-a-chip
  17. Integration of a semi-automatic in-vitro RFA procedure into an experimental setup
  18. Fabrication of MEMS-based 3D-μECoG-MEAs
  19. High speed digital interfacing for a neural data acquisition system
  20. Bionic forceps for the handling of sensitive tissue
  21. Experimental studies on 3D printing of barium titanate ceramics for medical applications
  22. Patient specific root-analogue dental implants – additive manufacturing and finite element analysis
  23. 3D printing – a key technology for tailored biomedical cell culture lab ware
  24. 3D printing of hydrogels in a temperature controlled environment with high spatial resolution
  25. Biocompatibility of photopolymers for additive manufacturing
  26. Biochemical piezoresistive sensors based on pH- and glucose-sensitive hydrogels for medical applications
  27. Novel wireless measurement system of pressure dedicated to in vivo studies
  28. Portable auricular device for real-time swallow and chew detection
  29. Detection of miRNA using a surface plasmon resonance biosensor and antibody amplification
  30. Simulation and evaluation of stimulation scenarios for targeted vestibular nerve excitation
  31. Deep brain stimulation: increasing efficiency by alternative waveforms
  32. Prediction of immediately occurring microsleep events from brain electric signals
  33. Determining cardiac vagal threshold from short term heart rate complexity
  34. Classification of cardiac excitation patterns during atrial fibrillation
  35. An algorithm to automatically determine the cycle length coverage to identify rotational activity during atrial fibrillation – a simulation study
  36. Deriving respiration from high resolution 12-channel-ECG during cycling exercise
  37. Reducing of gradient induced artifacts on the ECG signal during MRI examinations using Wilcoxon filter
  38. Automatic detection and mapping of double potentials in intracardiac electrograms
  39. Modeling the pelvic region for non-invasive pelvic intraoperative neuromonitoring
  40. Postprocessing algorithm for automated analysis of pelvic intraoperative neuromonitoring signals
  41. Best practice: surgeon driven application in pelvic operations
  42. Vasomotor assessment by camera-based photoplethysmography
  43. Classification of morphologic changes in photoplethysmographic waveforms
  44. Novel computation of pulse transit time from multi-channel PPG signals by wavelet transform
  45. Efficient design of FIR filter based low-pass differentiators for biomedical signal processing
  46. Nonlinear causal influences assessed by mutual compression entropy
  47. Comparative study of methods for solving the correspondence problem in EMD applications
  48. fNIRS for future use in auditory diagnostics
  49. Semi-automated detection of fractional shortening in zebrafish embryo heart videos
  50. Blood pressure measurement on the cheek
  51. Derivation of the respiratory rate from directly and indirectly measured respiratory signals using autocorrelation
  52. Left cardiac atrioventricular delay and inter-ventricular delay in cardiac resynchronization therapy responder and non-responder
  53. An automatic systolic peak detector of blood pressure waveforms using 4th order cumulants
  54. Real-time QRS detection using integrated variance for ECG gated cardiac MRI
  55. Preprocessing of unipolar signals acquired by a novel intracardiac mapping system
  56. In-vitro experiments to characterize ventricular electromechanics
  57. Continuous non-invasive monitoring of blood pressure in the operating room: a cuffless optical technology at the fingertip
  58. Application of microwave sensor technology in cardiovascular disease for plaque detection
  59. Artificial blood circulatory and special Ultrasound Doppler probes for detecting and sizing gaseous embolism
  60. Detection of microsleep events in a car driving simulation study using electrocardiographic features
  61. A method to determine the kink resistance of stents and stent delivery systems according to international standards
  62. Comparison of stented bifurcation and straight vessel 3D-simulation with a prior simulated velocity profile inlet
  63. Transient Euler-Lagrange/DEM simulation of stent thrombosis
  64. Automated control of the laser welding process of heart valve scaffolds
  65. Automation of a test bench for accessing the bendability of electrospun vascular grafts
  66. Influence of storage conditions on the release of growth factors in platelet-rich blood derivatives
  67. Cryopreservation of cells using defined serum-free cryoprotective agents
  68. New bioreactor vessel for tissue engineering of human nasal septal chondrocytes
  69. Determination of the membrane hydraulic permeability of MSCs
  70. Climate retainment in carbon dioxide incubators
  71. Multiple factors influencing OR ventilation system effectiveness
  72. Evaluation of an app-based stress protocol
  73. Medication process in Styrian hospitals
  74. Control tower to surgical theater
  75. Development of a skull phantom for the assessment of implant X-ray visibility
  76. Surgical navigation with QR codes
  77. Investigation of the pressure gradient of embolic protection devices
  78. Computer assistance in femoral derotation osteotomy: a bottom-up approach
  79. Automatic depth scanning system for 3D infrared thermography
  80. A service for monitoring the quality of intraoperative cone beam CT images
  81. Resectoscope with an easy to use twist mechanism for improved handling
  82. In vitro simulation of distribution processes following intramuscular injection
  83. Adjusting inkjet printhead parameters to deposit drugs into micro-sized reservoirs
  84. A flexible standalone system with integrated sensor feedback for multi-pad electrode FES of the hand
  85. Smart control for functional electrical stimulation with optimal pulse intensity
  86. Tactile display on the remaining hand for unilateral hand amputees
  87. Effects of sustained electrical stimulation on spasticity assessed by the pendulum test
  88. An improved tracking framework for ultrasound probe localization in image-guided radiosurgery
  89. Improvement of a subviral particle tracker by the use of a LAP-Kalman-algorithm
  90. Learning discriminative classification models for grading anal intraepithelial neoplasia
  91. Regularization of EIT reconstruction based on multi-scales wavelet transforms
  92. Assessing MRI susceptibility artefact through an indicator of image distortion
  93. EyeGuidance – a computer controlled system to guide eye movements
  94. A framework for feedback-based segmentation of 3D image stacks
  95. Doppler optical coherence tomography as a promising tool for detecting fluid in the human middle ear
  96. 3D Local in vivo Environment (LivE) imaging for single cell protein analysis of bone tissue
  97. Inside-Out access strategy using new trans-vascular catheter approach
  98. US/MRI fusion with new optical tracking and marker approach for interventional procedures inside the MRI suite
  99. Impact of different registration methods in MEG source analysis
  100. 3D segmentation of thyroid ultrasound images using active contours
  101. Designing a compact MRI motion phantom
  102. Cerebral cortex classification by conditional random fields applied to intraoperative thermal imaging
  103. Classification of indirect immunofluorescence images using thresholded local binary count features
  104. Analysis of muscle fatigue conditions using time-frequency images and GLCM features
  105. Numerical evaluation of image parameters of ETR-1
  106. Fabrication of a compliant phantom of the human aortic arch for use in Particle Image Velocimetry (PIV) experimentation
  107. Effect of the number of electrodes on the reconstructed lung shape in electrical impedance tomography
  108. Hardware dependencies of GPU-accelerated beamformer performances for microwave breast cancer detection
  109. Computer assisted assessment of progressing osteoradionecrosis of the jaw for clinical diagnosis and treatment
  110. Evaluation of reconstruction parameters of electrical impedance tomography on aorta detection during saline bolus injection
  111. Evaluation of open-source software for the lung segmentation
  112. Automatic determination of lung features of CF patients in CT scans
  113. Image analysis of self-organized multicellular patterns
  114. Effect of key parameters on synthesis of superparamagnetic nanoparticles (SPIONs)
  115. Radiopacity assessment of neurovascular implants
  116. Development of a desiccant based dielectric for monitoring humidity conditions in miniaturized hermetic implantable packages
  117. Development of an artifact-free aneurysm clip
  118. Enhancing the regeneration of bone defects by alkalizing the peri-implant zone – an in vitro approach
  119. Rapid prototyping of replica knee implants for in vitro testing
  120. Protecting ultra- and hyperhydrophilic implant surfaces in dry state from loss of wettability
  121. Advanced wettability analysis of implant surfaces
  122. Patient-specific hip prostheses designed by surgeons
  123. Plasma treatment on novel carbon fiber reinforced PEEK cages to enhance bioactivity
  124. Wear of a total intervertebral disc prosthesis
  125. Digital health and digital biomarkers – enabling value chains on health data
  126. Usability in the lifecycle of medical software development
  127. Influence of different test gases in a non-destructive 100% quality control system for medical devices
  128. Device development guided by user satisfaction survey on auricular vagus nerve stimulation
  129. Empirical assessment of the time course of innovation in biomedical engineering: first results of a comparative approach
  130. Effect of left atrial hypertrophy on P-wave morphology in a computational model
  131. Simulation of intracardiac electrograms around acute ablation lesions
  132. Parametrization of activation based cardiac electrophysiology models using bidomain model simulations
  133. Assessment of nasal resistance using computational fluid dynamics
  134. Resistance in a non-linear autoregressive model of pulmonary mechanics
  135. Inspiratory and expiratory elastance in a non-linear autoregressive model of pulmonary mechanics
  136. Determination of regional lung function in cystic fibrosis using electrical impedance tomography
  137. Development of parietal bone surrogates for parietal graft lift training
  138. Numerical simulation of mechanically stimulated bone remodelling
  139. Conversion of engineering stresses to Cauchy stresses in tensile and compression tests of thermoplastic polymers
  140. Numerical examinations of simplified spondylodesis models concerning energy absorption in magnetic resonance imaging
  141. Principle study on the signal connection at transabdominal fetal pulse oximetry
  142. Influence of Siluron® insertion on model drug distribution in the simulated vitreous body
  143. Evaluating different approaches to identify a three parameter gas exchange model
  144. Effects of fibrosis on the extracellular potential based on 3D reconstructions from histological sections of heart tissue
  145. From imaging to hemodynamics – how reconstruction kernels influence the blood flow predictions in intracranial aneurysms
  146. Flow optimised design of a novel point-of-care diagnostic device for the detection of disease specific biomarkers
  147. Improved FPGA controlled artificial vascular system for plethysmographic measurements
  148. Minimally spaced electrode positions for multi-functional chest sensors: ECG and respiratory signal estimation
  149. Automated detection of alveolar arches for nasoalveolar molding in cleft lip and palate treatment
  150. Control scheme selection in human-machine- interfaces by analysis of activity signals
  151. Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks
  152. Automatic pairing of inertial sensors to lower limb segments – a plug-and-play approach
  153. Contactless respiratory monitoring system for magnetic resonance imaging applications using a laser range sensor
  154. Interactive monitoring system for visual respiratory biofeedback
  155. Development of a low-cost senor based aid for visually impaired people
  156. Patient assistive system for the shoulder joint
  157. A passive beating heart setup for interventional cardiology training
Downloaded on 14.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cdbme-2016-0124/html
Scroll to top button