Inter-modality non-rigid breast image registration using finite-element method

Król, Andrzej; Coman, Ioana L.; Mandel, James A.; Baum, Karl G.; Luo, Min; Feiglin, David; Lipson, Edward D.; Beaumont, Jacques

doi:10.1109/nssmic.2003.1352263

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…Hsiang et al 100 register optical data with DCE-MRI by using fiducials on the breast surface and performing registration using a deformation field derived from the motion of the fiducials. This is similar to the method presented in Krol et al 101,102 for PET/MRI registration. Fiducial skin markers are placed on the breast that can be observed in both MRI and PET (Krol)/ optical (Hsiang) to determine geometric displacements and use a finite-element-method to model the breast tissue for the registration.…”

Section: Registrationsupporting

confidence: 64%

Mono- and multimodal registration of optical breast images

et al. 2012

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Abstract. Optical breast imaging offers the possibility of noninvasive, low cost, and high sensitivity imaging of breast cancers. Poor spatial resolution and a lack of anatomical landmarks in optical images of the breast make interpretation difficult and motivate registration and fusion of these data with subsequent optical images and other breast imaging modalities. Methods used for registration and fusion of optical breast images are reviewed. Imaging concerns relevant to the registration problem are first highlighted, followed by a focus on both monomodal and multimodal registration of optical breast imaging. Where relevant, methods pertaining to other imaging modalities or imaged anatomies are presented. The multimodal registration discussion concerns digital x-ray mammography, ultrasound, magnetic resonance imaging, and positron emission tomography.

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Section: Registrationsupporting

confidence: 64%

Mono- and multimodal registration of optical breast images

et al. 2012

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“…This could be caused by errors in segmentation of the breast surface. Presently, we are implementing improved segmentation and meshing process and applying our method to intermodal MRI/PET breast image registration [14,15].…”

Section: Discussionmentioning

confidence: 99%

Deformable model for 3D intramodal nonrigid breast image registration with fiducial skin markers

et al. 2005

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“…We have reported initial results on MR-to-PET breast-image registration [38][39][40][41][42] using our approach based on the finite element method (FEM) and using up to nine external fiducial skin markers per breast. The mean registration error was estimated, using elastic phantom and patient data, at approximately 5 mm.…”

Section: Mr-to-pet Image Registrationmentioning

confidence: 99%

Computerized method for nonrigid MR-to-PET breast-image registration

Unlu

Król

Magri

et al. 2010

Computers in Biology and Medicine

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Keywords:MR-to-PET nonrigid breast-image registration FEM-based soft tissue multimodality nonrigid image registration a b s t r a c tWe have developed and tested a new simple computerized finite element method (FEM) approach to MR-to-PET nonrigid breast-image registration. The method requires five-nine fiducial skin markers (FSMs) visible in MRI and PET that need to be located in the same spots on the breast and two on the flanks during both scans. Patients need to be similarly positioned prone during MRI and PET scans. This is accomplished by means of a low gamma-ray attenuation breast coil replica used as the breast support during the PET scan. We demonstrate that, under such conditions, the observed FSM displacement vectors between MR and PET images, distributed piecewise linearly over the breast volume, produce a deformed FEM mesh that reasonably approximates nonrigid deformation of the breast tissue between the MRI and PET scans. This method, which does not require a biomechanical breast tissue model, is robust and fast. Contrary to other approaches utilizing voxel intensity-based similarity measures or surface matching, our method works for matching MR with pure molecular images (i.e. PET or SPECT only). Our method does not require a good initialization and would not be trapped by local minima during registration process. All processing including FSMs detection and matching, and mesh generation can be fully automated. We tested our method on MR and PET breast images acquired for 15 subjects. The procedure yielded good quality images with an average target registration error below 4 mm (i.e. well below PET spatial resolution of 6-7 mm). Based on the results obtained for 15 subjects studied to date, we conclude that this is a very fast and a well-performing method for MR-to-PET breast-image nonrigid registration. Therefore, it is a promising approach in clinical practice. This method can be easily applied to nonrigid registration of MRI or CT of any type of soft-tissue images to their molecular counterparts such as obtained using PET and SPECT.

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Inter-modality non-rigid breast image registration using finite-element method

Cited by 5 publications

References 1 publication

Mono- and multimodal registration of optical breast images

Mono- and multimodal registration of optical breast images

Deformable model for 3D intramodal nonrigid breast image registration with fiducial skin markers

Computerized method for nonrigid MR-to-PET breast-image registration

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