3D Probabilistic Segmentation and Volumetry from 2D Projection Images
Vlontzos A, Budd S, Hou B, Rueckert D, Kainz B (2020)
Publication Type: Conference contribution
Publication year: 2020
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 12502 LNCS
Pages Range: 48-57
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Lima, PER
ISBN: 9783030624682
DOI: 10.1007/978-3-030-62469-9_5
Abstract
X-Ray imaging is quick, cheap and useful for front-line care assessment and intra-operative real-time imaging (e.g., C-Arm Fluoroscopy). However, it suffers from projective information loss and lacks vital volumetric information on which many essential diagnostic biomarkers are based on. In this paper we explore probabilistic methods to reconstruct 3D volumetric images from 2D imaging modalities and measure the models’ performance and confidence. We show our models’ performance on large connected structures and we test for limitations regarding fine structures and image domain sensitivity. We utilize fast end-to-end training of a 2D-3D convolutional networks, evaluate our method on 117 CT scans segmenting 3D structures from digitally reconstructed radiographs (DRRs) with a Dice score of. Source code will be made available by the time of the conference.
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United Kingdom (GB)How to cite
APA:
Vlontzos, A., Budd, S., Hou, B., Rueckert, D., & Kainz, B. (2020). 3D Probabilistic Segmentation and Volumetry from 2D Projection Images. In Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 48-57). Lima, PER: Springer Science and Business Media Deutschland GmbH.
MLA:
Vlontzos, Athanasios, et al. "3D Probabilistic Segmentation and Volumetry from 2D Projection Images." Proceedings of the 2nd International Workshop on Thoracic Image Analysis, TIA 2020 Held in Conjunction with Medical Image Computing and Computer-Assisted Intervention Conference, MICCAI 2020, Lima, PER Ed. Jens Petersen, Raúl San José Estépar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt, Colin Jacobs, Reinhard Beichel, Kensaku Mori, Springer Science and Business Media Deutschland GmbH, 2020. 48-57.
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