A novel finite element model-based navigation system-supported workflow for breast tumor excision.
In the case of female breast cancer, a breast-conserving excision is often desirable. This surgery is based on preoperatively gathered MRI, mammography, and sonography images. These images are recorded in multiple patient positions, e. g., 2D mammography images in standing position with a compressed...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 7; pp. 1537 - 1553 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2019
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137162501&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137162501 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2019 vid: 57 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 137162501 137162501 NLM30980230 10.1007/s11517-019-01977-0 NLM30980230 137162501 ppf: 1537 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A novel finite element model-based navigation system-supported workflow for breast tumor excision. aug: au: Esslinger, Dominik Rapp, Philipp Knödler, Luzia Preibsch, Heike Tarín, Cristina Sawodny, Oliver Brucker, Sara Y. Hahn, Markus affil: Institute for System Dynamics, University of Stuttgart, 70550, Stuttgart, Germany sug: subj: Breast Neoplasms Mastectomy Methods Magnetic Resonance Imaging Methods Breast Neoplasms Surgery Surgery, Computer-Assisted Methods Middle Age Reproducibility of Results Systems Analysis Female Finite Element Analysis Mastectomy Equipment and Supplies Phantoms, Imaging Preoperative Care Imaging, Three-Dimensional Middle Aged: 45-64 years Female ab: In the case of female breast cancer, a breast-conserving excision is often desirable. This surgery is based on preoperatively gathered MRI, mammography, and sonography images. These images are recorded in multiple patient positions, e. g., 2D mammography images in standing position with a compressed breast and 3D MRI images in prone position. In contrast, the surgery happens in supine or beach chair position. Due to these different perspectives and the flexible, thus challenging, breast tissue, the excision puts high demands on the physician. Therefore, this publication presents a novel eight-step excision support workflow that can be used to include information captured preoperatively through medical imaging based on a finite element (FE) model. In addition, an indoor positioning system is integrated in the workflow in order to track surgical devices and the sonography transducer during surgery. The preoperative part of the navigation system-supported workflow is outlined exemplarily based on first experimental results including 3D scans of a patient in different patient positions and her MRI images. Graphical Abstract Finite Element model based navigation system supported workflow for breast tumor excision is based on eight steps and allows inclusion of information from medical images recorded in multiple patient positions. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|