Mr. Guido van Schie Profile

Guido van Schie

at Radboud Univ Nijmegen Medical Ctr

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Proceedings Article | 4 March 2011 Paper

Estimating corresponding locations in ipsilateral breast tomosynthesis views

Guido van Schie, Christine Tanner, Nico Karssemeijer

Proceedings Volume 7963, 796306 (2011) https://doi.org/10.1117/12.878239

KEYWORDS: Breast, Optical spheres, Digital breast tomosynthesis, Nipple, Tissues, Computer aided diagnosis and therapy, Mammography, Mathematical modeling, Data modeling

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To improve cancer detection in mammography, breast exams usually consist of two views per breast. To combine information from both views, radiologists and multiview computer-aided detection (CAD) systems need to match corresponding regions in the two views. In digital breast tomosynthesis (DBT), finding corresponding regions in ipsilateral volumes may be a difficult and time-consuming task for radiologists, because many slices have to be inspected individually. In this study we developed a method to quickly estimate corresponding locations in ipsilateral tomosynthesis views by applying a mathematical transformation. First a compressed breast model is matched to the tomosynthesis view containing a point of interest. Then we decompress, rotate and compress again to estimate the location of the corresponding point in the ipsilateral view. In this study we use a simple elastically deformable sphere model to obtain an analytical solution for the transformation in a given DBT case. The model is matched to the volume by using automatic segmentation of the pectoral muscle, breast tissue and nipple. For validation we annotated 181 landmarks in both views and applied our method to each location. Results show a median 3D distance between the actual location and estimated location of 1.5 cm; a good starting point for a feature based local search method to link lesions for a multiview CAD system. Half of the estimated locations were at most 1 slice away from the actual location, making our method useful as a tool in mammographic workstations to interactively find corresponding locations in ipsilateral tomosynthesis views.

Proceedings Article | 3 March 2009 Paper

Noise model for microcalcification detection in reconstructed tomosynthesis slices

Guido van Schie, Nico Karssemeijer

Proceedings Volume 7260, 72600M (2009) https://doi.org/10.1117/12.810936

KEYWORDS: Reconstruction algorithms, Interference (communication), Breast, Data modeling, Sensors, Detection and tracking algorithms, Signal attenuation, Systems modeling, Tissues, Image analysis

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For the detection of microcalcifications, accurate noise estimation has shown to be an important step. In tomosynthesis, noise models have been proposed for projection data. However, it is expected that manufacturers of tomosynthesis systems will not store the raw projection images, but only the reconstructed volumes. We therefore investigated if and how signal dependent image noise can be modelled in the reconstructed volumes. For this research we used a dataset of 41 tomosynthesis volumes, of which 12 volumes contained a total of 20 microcalcification clusters. All volumes were acquired with a prototype of Sectra's photon-counting tomosynthesis system. Preliminary results show that image noise is signal dependent in a reconstructed volume, and that a model of this noise can be estimated from a volume at hand. Evaluation of the noise model was performed by using a basic microcalcification cluster detection algorithm that classifies voxels by using a threshold on a local contrast filter. Image noise was normalized by dividing local contrast in a voxel by the standard deviation of the estimated image noise in that voxel. FROC analysis shows that performance increases strongly, when we use our model to correct for signal dependent image noise in reconstructed volumes.

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