MRI/PET nonrigid breast-image registration using skin fiducial markers

Krol, A.; Unlu, Mehmet Z.; Baum, Karl G.; Mandel, James A.; Lee, Wei; Coman, Ioana L.; Lipson, Edward D.; Feiglin, David

doi:10.1016/s1120-1797(06)80022-0

Cited by 17 publications

(14 citation statements)

References 12 publications

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“…The most usable approach adopted for the application to RTP is the use of B-splines [30]. For example, non-rigid image registration was implemented [31] using a transformation based on B-spline control points and Krol et al [32] suggested a finite-element method deformable breast mode.…”

Section: Mri and Image Registration Techniquementioning

confidence: 99%

Review of potential improvements using MRI in the radiotherapy workflow

Torresin

Brambilla

Monti

et al. 2015

Zeitschrift für Medizinische Physik

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Section: Mri and Image Registration Techniquementioning

confidence: 99%

Review of potential improvements using MRI in the radiotherapy workflow

Torresin

Brambilla

Monti

et al. 2015

Zeitschrift für Medizinische Physik

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“…Significant effort has been devoted to developing registration procedures suitable for medical images in general and more recently PET/MRI breast images [12,[18][19][20]. The registration procedure was selected for this work based on its efficiency, consistency, operator independence, and suitability for use in a clinical environment [18][19][20].…”

Section: Registrationmentioning

confidence: 99%

Evaluation of Novel Genetic Algorithm Generated Schemes for Positron Emission Tomography (PET)/Magnetic Resonance Imaging (MRI) Image Fusion

Baum

Schmidt²,

Rafferty

et al. 2011

J Digit Imaging

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The use and benefits of a multimodality approach in the context of breast cancer imaging are discussed. Fusion techniques that allow multiple images to be viewed simultaneously are discussed. Many of these fusion techniques rely on the use of color tables. A genetic algorithm that generates color tables that have desired properties such as satisfying the order principle, the rows, and columns principle, have perceivable uniformity and have maximum contrast is introduced. The generated 2D color tables can be used for displaying fused datasets. The advantage the proposed method has over other techniques is the ability to consider a much larger set of possible color tables, ensuring that the best one is found. We asked radiologists to perform a set of tasks reading fused PET/ MRI breast images obtained using eight different fusion techniques. This preliminary study clearly demonstrates the need and benefit of a joint display by estimating the inaccuracies incurred when using a side-by-side display. The study suggests that the color tables generated by the genetic algorithm are good choices for fusing MR and PET images. It is interesting to note that popular techniques such as the Fire/Gray and techniques based on the HSV color space, which are prevalent in the literature and clinical practice, appear to give poorer performance.

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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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MRI/PET nonrigid breast-image registration using skin fiducial markers

Cited by 17 publications

References 12 publications

Review of potential improvements using MRI in the radiotherapy workflow

Review of potential improvements using MRI in the radiotherapy workflow

Evaluation of Novel Genetic Algorithm Generated Schemes for Positron Emission Tomography (PET)/Magnetic Resonance Imaging (MRI) Image Fusion

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

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