Andreas Heinrich

AI-based organ weight estimation from postmortem computed tomography

Marc Windgassen, Andreas Heinrich

Accurate organ weight determination is essential in forensic autopsy. Postmortem computed tomography (CT) combined with Artificial Intelligence (AI)-based segmentation allows automated, non-invasive organ delineation. This study evaluated the accuracy of CT-derived organ weights against conventional autopsy measurements. A total of 100 postmortem …

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AI-Based Angle Map Analysis of Facial Asymmetry in Peripheral Facial Palsy

Andreas Heinrich, Gerd Fabian Volk, Christian Dobel, Orlando Guntinas-Lichius

Peripheral facial palsy (PFP) causes pronounced facial asymmetry and functional impairment, highlighting the need for reliable, objective assessment. This study presents a novel, fully automated, reference-free method for quantifying facial symmetry using artificial intelligence (AI)-based facial landmark detection. A total of 405 …

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Personal identification via matching of curved multiplanar computed tomography reconstructions and panoramic radiographs

Linus Woitke, Ulf Karl-Martin Teichgräber, Gita Mall, Andreas Heinrich

Computer vision (CV)-based personal identification enables automated matching of recent radiological images with clinical databases to identify unknown individuals. This study aimed to assess whether a panoramic radiograph (PR)-like image reconstructed from computed tomography (CT) data using curved multiplanar reconstruction could enable …

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Automated body weight measurement using computed tomography

Sebastian Alexander Schenkl, Holger Muggenthaler, Andreas Heinrich

Abstract Computed tomography (CT) images provide detailed information on tissue composition and density. Body weight estimation from CT can be highly relevant in emergency and forensic contexts where conventional weighing is impractical or unavailable—for example, due to unconscious or immobilized patients, lack …

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Correlative metrology for precise refractive index mapping and control in 2PP-fabricated components

Christian Eder, Andreas Heinrich

Two-photon polymerization (2PP) is a powerful technique for fabricating three-dimensional micro-optical components. However, achieving the designed optical performance is challenging, as the final refractive index (RI) and geometry depend critically on process parameters. This work presents a correlative metrology framework to precisely …

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Investigation of the dynamic response of a fluid dielectric to electric fields for controlled micro- and nanostructuring processes

Selina Burkert, Mike Dohmen, Andreas Heinrich

Fluid photopolymers that actively respond to electric fields offer significant advantages for micro- and nanostructuring. These materials enable individual deformation and subsequent curing of microlenses within a defined electric field. Furthermore, these fluid photopolymers are applied in the replication of micro- and …

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Measurement of wavefront variations to aid in situ refractive index calculations of a photopolymer under fabrication

Sangeetha Suresh Nair, Andreas Heinrich, Christian Brock

The rise of additive manufacturing techniques in the field of optical elements has been a game changer from the perspective of flexibility and intricate complex designs. The excitement has also percolated to the field of fabricating functionalized optical elements with tailored optical …

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Deep learning-based automatic facial symmetry scoring in peripheral facial palsy

Andreas Heinrich, Gerd Fabian Volk, Christian Dobel, Orlando Guntinas‐Lichius

Unilateral peripheral facial palsy (PFP) results in facial asymmetry and functional impairment, reducing quality of life. Accurate, objective assessment is vital for monitoring and rehabilitation. This study presents an automated method utilizes standardized 2D photographs to visualize facial dynamics using heatmaps and …

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Roadmap on atomically-engineered quantum platforms

Soo‐hyon Phark, Bent Weber, Yasuo Yoshida, Patrick Forrester et autres

Abstract Matter at the atomic-scale is inherently governed by the laws of quantum mechanics. This makes charges and spins confined to individual atoms—and interactions among them—an invaluable resource for fundamental research and quantum technologies alike. However, harnessing the inherent ‘quantumness’ of atomic-scale …

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A deep learning approach for the prediction of process parameters in the additive manufacturing of microlenses

Annika Dehm, M. W. C. Dohmen, Andreas Heinrich

Automated identification of unknown decedents: matching postmortem CT images with clinical databases

Andreas Heinrich, Michael Hubig, Ulf Karl-Martin Teichgräber, Gita Mall

The maxillary sinus plays an important role in the forensic identification of unknown deceased individuals. This study aimed to evaluate whether matching postmortem computed tomography (CT) images from virtual autopsies with antemortem CT examinations from a clinical database enables reliable identification using …

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Computer vision-based personal identification using 2D maximum intensity projection CT images

Andreas Heinrich, Michael Hubig, Gita Mall, Ulf Karl-Martin Teichgräber

OBJECTIVES: Computer vision (CV) mimics human vision, enabling the automatic comparison of radiological images from recent examinations with a vast image database for unique identification. This method offers significant potential in emergencies involving unknown individuals. This study assesses whether maximum intensity projection …

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