H2020Индивидуална стипендия2015–2017

GEOCA · Geometry and Computational Anatomy

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2015-03-01 → 2017-06-15
Финансиране от ЕС: 185 857 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Изчислителната анатомия създава математически модели за анализ на промените в човешкото тяло, като например движението на органите в гръдния кош при дишане. Това помага за по-точно изчисляване на дозата при лъчетерапия на белия дроб и вземане на по-добри решения за лечението.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Geometry and Computational Anatomy

Computing techniques in medical imaging have a wide range of applications in medicine and bioscience. The objective of computational anatomy (CA), which is a novel field within medical imaging, is modeling and analysis of biological variability of the human anatomy. Suggested applications cover the simulation of average anatomies and normal variations, the discovery of structural differences between healthy and diseased populations, and the detection and classification of pathologies from structural anomalies. A specific example, addressed in this project together with medical experts, is the problem of tracking organs undergoing deformations as a result of breathing in the thorax and imaged via computed tomography (CT). To this end, we have developed a mathematical framework for robust computer algorithms for this and similar types of problems. Our algorithms, implemented in open-source software, could have significant impact for example on radiation therapy of the lung, where accurate estimation of organ deformations during treatment impacts dose calculation and treatment decisions.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The past decades have brought fascinating technological improvements of medical imaging techniques. This rapid development is accompanied by a growing need for computer based algorithms to align and extract markers from medical images. The days of heuristically engineered computer algorithms are, however, over; competitive, state-of-the-art medical imaging software must be based on rigorous mathematics to ensure accuracy, efficiency, and stability.Our research project lies at the forefront of computational anatomy (CA), a truly interdisciplinary field within medical imaging, combining differential equations theory, numerical analysis, computer vision, statistical methods, and differential geometry. CA is an emerging field that harbours a wealth of challenging problems. In particular, to develop image registration algorithms capable of handling heavily nonlinear deformations. In this project we construct image registration algorithms beyond state-of-the-art, adept of tasks where today's methods are inadequate. This is achieved by combining the knowledge of Professor Stig Larsson (scientist in charge) with the knowledge of Dr Klas Modin (experienced researcher).Larsson is a world-leading expert on numerical methods for partial differential equations. He has a large network of international collaborators as well as close connections to the medical imaging industry in Sweden.Modin has extensive expertise on geometric integration (GI), infinite-dimensional geometry, and CA, acquired via two post-doctoral positions at top research groups in two third countries. He thus brings state-of-the-art knowledge to the European research area. In particular, Modin's mastery of large deformation diffeomorphic metric matching (LDDMM) and Euler--Arnold equations is essential; it provides the link between image registration and PDEs. This link is the basis of the new, exciting methodology in the project: to apply state-of-the-art numerical PDE techniques to image registration.

Оригинален текст от CORDIS (на английски).

Участници

CHALMERS TEKNISKA HOGSKOLA AB · GoteborgКоординаторШвеция