Literature DB >> 18982625

MR navigated breast surgery: method and initial clinical experience.

Timothy Carter1, Christine Tanner, Nicolas Beechey-Newman, Dean Barratt, David Hawkes.   

Abstract

3D dynamic contrast enhanced magnetic resonance (MR) images may help to reduce the high re-excision rate associated with breast conserving surgery. However these images are acquired prone, whilst surgery is performed supine which results in a large deformation that limits their usefulness. We describe here a registration technique based on a biomechanical model to account for soft tissue deformation between prone MR imaging and surgery. The accuracies of the individual registration steps are assessed off-line. We then report our first clinical experience with an image-guided surgery system which incorporates these algorithms. The system's accuracy is assessed against tracked ultrasound images, and is determined to be around 5mm for this case.

Mesh:

Year:  2008        PMID: 18982625     DOI: 10.1007/978-3-540-85990-1_43

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  12 in total

Review 1.  Deformable medical image registration: a survey.

Authors:  Aristeidis Sotiras; Christos Davatzikos; Nikos Paragios
Journal:  IEEE Trans Med Imaging       Date:  2013-05-31       Impact factor: 10.048

2.  Preoperative liver registration for augmented monocular laparoscopy using backward-forward biomechanical simulation.

Authors:  Erol Özgür; Bongjin Koo; Bertrand Le Roy; Emmanuel Buc; Adrien Bartoli
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-08-09       Impact factor: 2.924

3.  Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation.

Authors:  Gregory M Sturgeon; Nooshin Kiarashi; Joseph Y Lo; E Samei; W P Segars
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

4.  In-vivo quantification of human breast deformation associated with the position change from supine to upright.

Authors:  Hamed Khatam; Gregory P Reece; Michelle C Fingeret; Mia K Markey; Krishnaswamy Ravi-Chandar
Journal:  Med Eng Phys       Date:  2014-10-19       Impact factor: 2.242

5.  Spatial shrinkage/expansion patterns between breast density measured in two MRI scans evaluated by non-rigid registration.

Authors:  Muqing Lin; Jeon-Hor Chen; Rita S Mehta; Shadfar Bahri; Siwa Chan; Orhan Nalcioglu; Min-Ying Su
Journal:  Phys Med Biol       Date:  2011-08-18       Impact factor: 3.609

6.  Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI.

Authors:  Rebekah H Conley; Ingrid M Meszoely; Jared A Weis; Thomas S Pheiffer; Lori R Arlinghaus; Thomas E Yankeelov; Michael I Miga
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-06-20       Impact factor: 2.924

7.  Impact of deformation on a supine-positioned image-guided breast surgery approach.

Authors:  Winona L Richey; Jon S Heiselman; Ma Luo; Ingrid M Meszoely; Michael I Miga
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-08-12       Impact factor: 3.421

8.  Segmentation of the breast skin and its influence in the simulation of the breast compression during an X-ray mammography.

Authors:  J A Solves Llorens; M J Rupérez; C Monserrat; E Feliu; M García; M Lloret
Journal:  ScientificWorldJournal       Date:  2012-05-02

9.  Thin slice three dimentional (3D) reconstruction versus CT 3D reconstruction of human breast cancer.

Authors:  Yi Zhang; Yan Zhou; Xinhua Yang; Peng Tang; Quanguang Qiu; Yong Liang; Jun Jiang
Journal:  Indian J Med Res       Date:  2013-01       Impact factor: 2.375

10.  Symmetric Biomechanically Guided Prone-to-Supine Breast Image Registration.

Authors:  Björn Eiben; Vasileios Vavourakis; John H Hipwell; Sven Kabus; Thomas Buelow; Cristian Lorenz; Thomy Mertzanidou; Sara Reis; Norman R Williams; Mohammed Keshtgar; David J Hawkes
Journal:  Ann Biomed Eng       Date:  2015-11-17       Impact factor: 3.934

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