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Publications (10 of 18) Show all publications
Sinzinger, F., Pahr, D. & Moreno, R. (2019). Predicting The Trabecular Bone Stiffness Tensor with Spherical Convolutional Neural Networks. In: Book of Abstracts of the 25th Congress of the European Society of Biomechanics: . Paper presented at 25th Congress of the European Society of Biomechanics, Vienna; 2019-07-07 - 2019-07-10.
Open this publication in new window or tab >>Predicting The Trabecular Bone Stiffness Tensor with Spherical Convolutional Neural Networks
2019 (English)In: Book of Abstracts of the 25th Congress of the European Society of Biomechanics, 2019Conference paper, Oral presentation with published abstract (Refereed)
National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-259769 (URN)978-3-903024-96-0 (ISBN)
Conference
25th Congress of the European Society of Biomechanics, Vienna; 2019-07-07 - 2019-07-10
Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-10-11Bibliographically approved
Jörgens, D., Poulin, P., Moreno, R., Jodoin, P.-M. & Descoteaux, M. (2019). Towards a deep learning model for diffusion-aware tractogram filtering. In: : . Paper presented at ISMRM 27th Annual Meeting & Exhibition, 11-16 May 2019, Montréal, QC, Canada.
Open this publication in new window or tab >>Towards a deep learning model for diffusion-aware tractogram filtering
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2019 (English)Conference paper, Poster (with or without abstract) (Refereed)
National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-259770 (URN)
Conference
ISMRM 27th Annual Meeting & Exhibition, 11-16 May 2019, Montréal, QC, Canada
Note

QC 20191007

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-10-07Bibliographically approved
Brusini, I., Jörgens, D., Smedby, Ö. & Moreno, R. (2019). Voxel-Wise Clustering of Tractography Data for Building Atlases of Local Fiber Geometry. In: : . Paper presented at International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018; Granada; Spain; 20 September 2018 through 20 September 2018 (pp. 345-357).
Open this publication in new window or tab >>Voxel-Wise Clustering of Tractography Data for Building Atlases of Local Fiber Geometry
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper aims at proposing a method to generate atlases of white matter fibers’ geometry that consider local orientation and curvature of fibers extracted from tractography data. Tractography was performed on diffusion magnetic resonance images from a set of healthy subjects and each tract was characterized voxel-wise by its curvature and Frenet–Serret frame, based on which similar tracts could be clustered separately for each voxel and each subject. Finally, the centroids of the clusters identified in all subjects were clustered to create the final atlas. The proposed clustering technique showed promising results in identifying voxel-wise distributions of curvature and orientation. Two tractography algorithms (one deterministic and one probabilistic) were tested for the present work, obtaining two different atlases. A high agreement between the two atlases was found in several brain regions. This suggests that more advanced tractography methods might only be required for some specific regions in the brain. In addition, the probabilistic approach resulted in the identification of a higher number of fiber orientations in various white matter areas, suggesting it to be more adequate for investigating complex fiber configurations in the proposed framework as compared to deterministic tractography.

National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-259768 (URN)10.1007/978-3-030-05831-9_27 (DOI)2-s2.0-85066883835 (Scopus ID)
Conference
International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018; Granada; Spain; 20 September 2018 through 20 September 2018
Note

QC 20190923

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-09-23Bibliographically approved
Klintström, E., Klintström, B., Pahr, D., Brismar, T. B., Smedby, Ö. & Moreno, R. (2018). Direct estimation of human trabecular bone stiffness using cone beam computed tomography. Oral surgery, oral medicine, oral pathology and oral radiology, 126(1), 72-82
Open this publication in new window or tab >>Direct estimation of human trabecular bone stiffness using cone beam computed tomography
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2018 (English)In: Oral surgery, oral medicine, oral pathology and oral radiology, ISSN 2212-4403, E-ISSN 2212-4411, Vol. 126, no 1, p. 72-82Article in journal (Refereed) Published
Abstract [en]

Objectives. The aim of this study was to evaluate the possibility of estimating the biomechanical properties of trabecular bone through finite element simulations by using dental cone beam computed tomography data. Study Design. Fourteen human radius specimens were scanned in 3 cone beam computed tomography devices: 3-D Accuitomo 80 (J. Morita MFG., Kyoto, Japan), NewTom 5 G (QR Verona, Verona, Italy), and Verity (Planmed, Helsinki, Finland). The imaging data were segmented by using 2 different methods. Stiffness (Young modulus), shear moduli, and the size and shape of the stiffness tensor were studied. Corresponding evaluations by using micro-CT were regarded as the reference standard. Results. The 3-D Accuitomo 80 (J. Morita MFG., Kyoto, Japan) showed good performance in estimating stiffness and shear moduli but was sensitive to the choice of segmentation method. Newtom 5 G (QR Verona, Verona, Italy) and Verity (Planmed, Helsinki, Finland) yielded good correlations, but they were not as strong as Accuitomo 80 U. Morita MFG., Kyoto, Japan). The cone beam computed tomography devices overestimated both stiffness and shear compared with the micro-CT estimations. Conclusions. Finite element-based calculations of biomechanics from cone beam computed tomography data are feasible, with strong correlations for the Accuitomo 80 scanner a. Morita MFG., Kyoto, Japan) combined with an appropriate segmentation method. Such measurements might be useful for predicting implant survival by in vivo estimations of bone properties.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE INC, 2018
National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-232242 (URN)10.1016/j.oooo.2018.03.014 (DOI)000436514800015 ()29735401 (PubMedID)2-s2.0-85046658791 (Scopus ID)
Note

QC 20180720

Available from: 2018-07-20 Created: 2018-07-20 Last updated: 2018-07-20Bibliographically approved
Jörgens, D., Smedby, Ö. & Moreno, R. (2018). Learning a single step of streamline tractography based on neural networks. In: Computational Diffusion MRI: (pp. 103-116). Springer, Cham
Open this publication in new window or tab >>Learning a single step of streamline tractography based on neural networks
2018 (English)In: Computational Diffusion MRI, Springer, Cham , 2018, p. 103-116Chapter in book (Other academic)
Place, publisher, year, edition, pages
Springer, Cham, 2018
National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-259767 (URN)
Note

QC 201909223

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-09-23Bibliographically approved
Brusini, I., Jörgens, D., Smedby, Ö. & Moreno, R. (2017). Dependency of neural tracts'€™ curvature estimations on tractography methods. In: : . Paper presented at Human Brain Project Student Conference.
Open this publication in new window or tab >>Dependency of neural tracts'€™ curvature estimations on tractography methods
2017 (English)Conference paper, Poster (with or without abstract) (Refereed)
National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-259766 (URN)
Conference
Human Brain Project Student Conference
Note

QC 20190923

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-09-23Bibliographically approved
Moreno, R., Segers, P. & Debbaut, C. (2017). Estimation of the permeability tensor of the microvasculature of the liver through fabric tensors. In: Computational Biomechanics for Medicine: From Algorithms to Models and Applications (pp. 71-79). Springer
Open this publication in new window or tab >>Estimation of the permeability tensor of the microvasculature of the liver through fabric tensors
2017 (English)In: Computational Biomechanics for Medicine: From Algorithms to Models and Applications, Springer, 2017, p. 71-79Chapter in book (Refereed)
Place, publisher, year, edition, pages
Springer, 2017
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:kth:diva-218377 (URN)10.1007/978-3-319-54481-6_6 (DOI)2-s2.0-85033355692 (Scopus ID)9783319544816 (ISBN)9783319544809 (ISBN)
Note

QC 20171128

Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2017-11-28Bibliographically approved
Batool, N., Chowdhury, M., Smedby, Ö. & Moreno, R. (2017). Estimation of trabecular bone thickness in gray scale: a validation study. International Journal of Computer Assisted Radiology and Surgery, 12(Supplement 1)
Open this publication in new window or tab >>Estimation of trabecular bone thickness in gray scale: a validation study
2017 (English)In: International Journal of Computer Assisted Radiology and Surgery, Vol. 12, no Supplement 1Article in journal, Meeting abstract (Refereed) Published
National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-259764 (URN)
Note

QC 20190923

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-09-23Bibliographically approved
Platten, M., Chowdhury, M., Smedby, Ö. & Moreno, R. (2017). Estimation of trabecular thickness in grayscale: an in vivo study. In: ESSR 2017 / P-0196: . Paper presented at European Society of Musculoskeletal Radiology, Annual Scientific Meeting, ESSR 2017.
Open this publication in new window or tab >>Estimation of trabecular thickness in grayscale: an in vivo study
2017 (English)In: ESSR 2017 / P-0196, 2017Conference paper, Poster (with or without abstract) (Refereed)
National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-259763 (URN)10.1594/essr2017/P-0196 (DOI)
Conference
European Society of Musculoskeletal Radiology, Annual Scientific Meeting, ESSR 2017
Note

QC 20191011

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-10-11Bibliographically approved
Brusini, I., Jörgens, D., Smedby, Ö. & Moreno, R. (2017). Influence of Tractography Algorithms and Settings on Local Curvature Estimations. In: : . Paper presented at Annual Meeting of the Organization for Human Brain Mapping (OHBM).
Open this publication in new window or tab >>Influence of Tractography Algorithms and Settings on Local Curvature Estimations
2017 (English)Conference paper, Poster (with or without abstract) (Refereed)
National Category
Medical Image Processing
Identifiers
urn:nbn:se:kth:diva-259765 (URN)
Conference
Annual Meeting of the Organization for Human Brain Mapping (OHBM)
Note

QC 20190923

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-09-23Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-5765-2964

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