ArticleInternational journal of computer assisted radiology and surgery2021
Impact of deformation on a supine-positioned image-guided breast surgery approach.
Article in International journal of computer assisted radiology and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Quantifying three-dimensional displacement of cardiac implantable electronic devices and implications for safety margins in radiotherapy.Radiological physics and technology · 2026Article
- Comparison of three arm-positioning techniques for minimizing motion artifacts in breast magnetic resonance imaging: a prospective volunteer study.Breast cancer (Tokyo, Japan) · 2026Article
- A comprehensive biomechanical material characterization of the human breast fibro-structural support system.Journal of the mechanical behavior of biomedical materials · 2026Article
- Patient-specific visco-hyperelastic mechanical model for breast tumor localization in surgical planning.Bioengineering & translational medicine · 2026Article
- M-fiducial phantom based fast automatic ultrasound calibration technique: A novel approach for 2D to 3D image registration.Heliyon · 2024Article
- Comparing regularized Kelvinlet functions and the finite element method for registration of medical images to sparse organ data.Medical image analysis · 2024Article
- Modern Image-Guided Surgery: A Narrative Review of Medical Image Processing and Visualization.Sensors (Basel, Switzerland) · 2023Review
- Incorporating heterogeneity and anisotropy for surgical applications in breast deformation modeling.Clinical biomechanics (Bristol, Avon) · 2023Article
- Computational Imaging to Compensate for Soft-Tissue Deformations in Image-Guided Breast Conserving Surgery.IEEE transactions on bio-medical engineering · 2022Article
- Supine magnetic resonance image registration for breast surgery: insights on material mechanics.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Tumor deformation correction for an image guidance system in breast conserving surgery.Proceedings of SPIE--the International Society for Optical EngineeringArticle
- Breast image registration for surgery: Insights on material mechanics modeling.Proceedings of SPIE--the International Society for Optical EngineeringArticle
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo reduce reoperation rates for image-guided breast-conserving surgery, the enhanced sensitivity of magnetic resonance (MR) supine imaging may be leveraged. However, accurate tissue correspondence between images and their physical counterpart in the surgical presentation is challenging due to breast deformations (e.g., from patient/arm position changes, and operating room table rotation differences). In this study, standard rigid registration methods are employed and tissue deformation is characterized.
methodsOn n = 10 healthy breasts, surface displacements were measured by comparing intraoperative fiducial locations as the arm was moved from conventional MR scanning positions (arm-down and arm-up) to the laterally extended surgical configuration. Supine MR images in the arm-down and arm-up positions were registered to mock intraoperative presentations.
resultsBreast displacements from a supine MR imaging configuration to a mock surgical presentation were 28.9 ± 9.2 mm with shifts occurring primarily in the inferior/superior direction. With respect to supine MR to surgical alignment, the average fiducial, target, and maximum target registration errors were 9.0 ± 1.7 mm, 9.3 ± 1.7 mm, and 20.0 ± 7.6 mm, respectively. Even when maintaining similar arm positions in the MR image and mock surgery, the respective averages were 6.0 ± 1.0 mm, 6.5 ± 1.1 mm, and 12.5 ± 2.8 mm.
conclusionFrom supine MR positioning to surgical presentation, the breast undergoes large displacements (9.9-70.1 mm). The data also suggest that significant nonrigid deformations (9.3 ± 1.7 mm with 20.0 mm average maximum) exist that need to be considered in image guidance and modeling applications.
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