Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations

Azar, Fred S.; Metaxas, Dimitris N.; Schnall, Mitchell D.

doi:10.1007/3-540-45468-3_189

Cited by 13 publications

(20 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, neither patient nor breathing motion correction will account for the internal target displacement or deformation which can occur during needle advancement. This can be overcome by performing control imaging during the course of an intervention, similar to that which is normally done with CT guidance or, technically more challenging, by using a deformable finite element model that predicts deformations of the target organ [18,19].…”

Section: Discussionmentioning

confidence: 99%

Electromagnetic field-based navigation for percutaneous punctures on C-arm CT: experimental evaluation and clinical application

Meyer

Peter

Nagel³

et al. 2008

Eur Radiol

View full text Add to dashboard Cite

The aim of this study was to prospectively evaluate the needle visualization and placement error and use of an electromagnetic field-based tracking navigation device for puncture procedures based on C-arm CT (CACT) images. A commercially available navigation device was mounted on an angiographic X-ray system setup for CACT. After the target was defined, needle placement was performed under real-time visualization of the virtual needle in CACT images. The final, real needle position was assessed by CACT. Punctures were performed in phantoms (n = 76) and in twelve patients (eight biopsies, three drainages, one injection). Procedure times, system error, user error and total error were assessed. In phantoms, mean total error was 2.3 +/- 0.9 mm, user error was 1.4 +/- 0.8 mm and system error was 1.7 +/- 0.8 mm. In the patient study, the targeted puncture was successful in all twelve cases. The mean total error was 5.4 mm +/- 1.9 mm (maximum 8.1 mm), user error was 3.7 +/- 1.7 mm, system error was 3.2 +/- 1.4 mm and mean skin-to-target time was less than 1 min. The navigation device relying on CACT was accurate in terms of needle visualization and useful for needle placement under both experimental and clinical conditions. For more complex procedures, electromagnetic field-based tracking guidance might be of help in facilitating the puncture and reducing both the puncture risk and procedure time.

show abstract

Section: Discussionmentioning

confidence: 99%

Electromagnetic field-based navigation for percutaneous punctures on C-arm CT: experimental evaluation and clinical application

Meyer

Peter

Nagel³

et al. 2008

Eur Radiol

View full text Add to dashboard Cite

show abstract

“…However, neither patient nor breathing motion correction will account for the internal target displacement or deformation during needle advancement. This can be overcome by performing a control scan in the course of an intervention, similar to what is normally done under CT guidance or, technically more challenging, by using a deformable finite element model that predicts deformations of the target organ [1,2].…”

Section: Discussionmentioning

confidence: 99%

MR image-guided needle biopsies with a combination of augmented reality and MRI: A pilot study in phantoms and animals

Wacker

Vogt

Khamene

et al. 2005

International Congress Series

View full text Add to dashboard Cite

“…Azar et al (2002) modeled the deformations using small strain theory, which is not appropriate for the large strains typically during breast compression. Samani et al (2001) demonstrated finite element simulations on a patient-specific geometry using large strain theory, however, the breast was compressed by just 8 mm, which is far less than the amount of compression required for clinical mammograms.…”

Section: Biomechanical Model: the Motivationmentioning

confidence: 99%

A biomechanical model of mammographic compressions

Chung

Rajagopal

Nielsen

et al. 2007

Biomech Model Mechanobiol

View full text Add to dashboard Cite

A number of biomechanical models have been proposed to improve nonrigid registration techniques for multimodal breast image alignment. A deformable breast model may also be useful for overcoming difficulties in interpreting 2D X-ray projections (mammograms) of 3D volumes (breast tissues). If a deformable model could accurately predict the shape changes that breasts undergo during mammography, then the model could serve to localize suspicious masses (visible in mammograms) in the unloaded state, or in any other deformed state required for further investigations (such as biopsy or other medical imaging modalities). In this paper, we present a validation study that was conducted in order to develop a biomechanical model based on the well-established theory of continuum mechanics (finite elasticity theory with contact mechanics) and demonstrate its use for this application. Experimental studies using gel phantoms were conducted to test the accuracy in predicting mammographic-like deformations. The material properties of the gel phantom were estimated using a nonlinear optimization process, which minimized the errors between the experimental and the model-predicted surface data by adjusting the parameter associated with the neo-Hookean constitutive relation. Two compressions (the equivalent of cranio-caudal and medio-lateral mammograms) were performed on the phantom, and the corresponding deformations were recorded using a MRI scanner. Finite element simulations were performed to mimic the experiments using the estimated material properties with appropriate boundary conditions. The simulation results matched the experimental recordings of the deformed phantom, with a sub-millimeter root-mean-square error for each compression state. Having now validated our finite element model of breast compression, the next stage is to apply the model to clinical images.

show abstract

Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations

Cited by 13 publications

References 4 publications

Electromagnetic field-based navigation for percutaneous punctures on C-arm CT: experimental evaluation and clinical application

Electromagnetic field-based navigation for percutaneous punctures on C-arm CT: experimental evaluation and clinical application

MR image-guided needle biopsies with a combination of augmented reality and MRI: A pilot study in phantoms and animals

A biomechanical model of mammographic compressions

Contact Info

Product

Resources

About