Dr. Ludwig Ritschl Profile

Dr. Ludwig Ritschl

at Siemens Healthineers

SPIE Involvement:

Author

Publications (27)

Proceedings Article | 1 April 2024 Presentation + Paper

Hybrid thick-slice reconstruction in wide-angle DBT for optimal micro-calcification and mass perceptibility

Marcel Beister, Ferdinand Lueck, Ludwig Ritschl, Steffen Kappler

Proceedings Volume 12925, 129250O (2024) https://doi.org/10.1117/12.3006969

KEYWORDS: Digital breast tomosynthesis, Visibility, Reconstruction algorithms, Diagnostics, Tunable filters, Data acquisition, Voxels, Tissues, Blood vessels, Anatomy

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Proceedings Article | 1 April 2024 Poster + Paper

Investigation of correction and decomposition algorithms in bedside x-ray imaging simulating a multi-layer flat panel detector

Jamin Schaefer, Stephen Liu, Steffen Kappler, Ferdinand Lueck, Ludwig Ritschl, Thomas Weber, Wojciech Zbijewski, Georg Rose

Proceedings Volume 12925, 1292536 (2024) https://doi.org/10.1117/12.3006758

KEYWORDS: Bone, Monte Carlo methods, Adipose tissue, Sensors, Detection and tracking algorithms, Computer simulations, Attenuation, X-ray imaging, Computed tomography, X-rays

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Proceedings Article | 1 April 2024 Poster + Paper

Noise gate: a physics-driven control method for deep learning denoising in x-ray imaging

Magdalena Herbst, Marcel Beister, Stephan Dwars, Dominik Eckert, Ludwig Ritschl, Christopher Syben, Steffen Kappler

Proceedings Volume 12925, 129253X (2024) https://doi.org/10.1117/12.3006446

KEYWORDS: Denoising, X-ray imaging, Deep learning, X-rays, Tunable filters

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SPIE Journal Paper | 7 December 2023

Deep learning based tomosynthesis denoising: a bias investigation across different breast types

Dominik Eckert, Julia Wicklein, Magdalena Herbst, Stephan Dwars, Ludwig Ritschl, Steffen Kappler, Sebastian Stober

JMI, Vol. 10, Issue 06, 064003, (December 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.6.064003

KEYWORDS: Denoising, Breast, Education and training, Digital breast tomosynthesis, Tomosynthesis, Computer simulations, Deep learning, X-rays, Breast density, Photons

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Proceedings Article | 18 October 2022 Open Access

Dual-energy cone-beam CT with three-material decomposition for bone marrow edema imaging

Stephen Liu, Magdalena Herbst, Thomas Weber, Sebastian Vogt, Ludwig Ritschl, Steffen Kappler, Jeffrey Siewerdsen, Wojciech Zbijewski

Proceedings Volume 12304, 123040Z (2022) https://doi.org/10.1117/12.2646391

KEYWORDS: Medical image reconstruction, Bone, X-ray computed tomography, Sensors, X-rays, Medical imaging, Aluminum, Physics, Photons, Signal attenuation, Monte Carlo methods

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Proceedings Article | 4 April 2022 Presentation + Paper

Feasibility of dual-energy cone-beam CT of bone marrow edema using dual-layer flat panel detectors

Stephen Liu, Chumin Zhao, Magdalena Herbst, Thomas Weber, Sebastian Vogt, Ludwig Ritschl, Steffen Kappler, Jeffrey Siewerdsen, Wojciech Zbijewski

Proceedings Volume 12031, 120311J (2022) https://doi.org/10.1117/12.2613211

KEYWORDS: Bone, Collimation, Sensors, Copper, X-ray computed tomography, Medical imaging, Error analysis, Spectral calibration, Physics, Monte Carlo methods

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Purpose: We investigated the feasibility of detection and quantification of bone marrow edema (BME) using dual-energy (DE) Cone-Beam CT (CBCT) with a dual-layer flat panel detector (FPD) and three-material decomposition. Methods: A realistic CBCT system simulator was applied to study the impact of detector quantization, scatter, and spectral calibration errors on the accuracy of fat-water-bone decompositions of dual-layer projections. The CBCT system featured 975 mm source-axis distance, 1,362 mm source-detector distance and a 430 × 430 mm² dual-layer FPD (top layer: 0.20 mm CsI:Tl, bottom layer: 0.55 mm CsI:Tl; a 1 mm Cu filter between the layers to improve spectral separation). Tube settings were 120 kV (+2 mm Al, +0.2 mm Cu) and 10 mAs per exposure. The digital phantom consisted of a 160 mm water cylinder with inserts containing mixtures of water (volume fraction ranging 0.18 to 0.46) - fat (0.5 to 0.7) - Ca (0.04 to 0.12); decreasing fractions of fat indicated increasing degrees of BME. A two-stage three-material DE decomposition was applied to DE CBCT projections: first, projection-domain decomposition (PDD) into fat-aluminum basis, followed by CBCT reconstruction of intermediate base images, followed by image-domain change of basis into fat, water and bone. Sensitivity to scatter was evaluated by i) adjusting source collimation (12 to 400 mm width) and ii) subtracting various fractions of the true scatter from the projections at 400 mm collimation. The impact of spectral calibration was studied by shifting the effective beam energy (± 2 keV) when creating the PDD lookup table. We further simulated a realistic BME imaging framework, where the scatter was estimated using a fast Monte Carlo (MC) simulation from a preliminary decomposition of the object; the object was a realistic wrist phantom with an 0.85 mL BME stimulus in the radius. Results: The decomposition is sensitive to scatter: approx. <20 mm collimation width or <10% error of scatter correction in a full field-of-view setting is needed to resolve BME. A mismatch in PDD decomposition calibration of ± 1 keV results in ~25% error in fat fraction estimates. In the wrist phantom study with MC scatter corrections, we were able to achieve ~0.79 mL true positive and ~0.06 mL false positive BME detection (compared to 0.85 mL true BME volume). Conclusions: Detection of BME using DE CBCT with dual-layer FPD is feasible, but requires scatter mitigation, accurate scatter estimation, and robust spectral calibration.

Proceedings Article | 4 April 2022 Poster + Paper

Deep learning based denoising of mammographic x-ray images: an investigation of loss functions and their detail-preserving properties

Dominik Eckert, Ludwig Ritschl, Magdalena Herbst, Julia Wicklein, Sulaiman Vesal, Steffen Kappler, Andreas Maier, Sebastian Stober

Proceedings Volume 12031, 120311T (2022) https://doi.org/10.1117/12.2612403

KEYWORDS: Denoising, X-rays, Digital breast tomosynthesis, X-ray imaging, Photons, Mammography, Sensors, Physics, Signal to noise ratio, Interference (communication)

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Proceedings Article | 15 February 2021 Presentation + Paper

Image-domain cardiac motion compensation in multidirectional digital chest tomosynthesis

Chumin Zhao, Magdalena Herbst, Thomas Weber, Sebastian Vogt, Ludwig Ritschl, Steffen Kappler, Jeffrey Siewerdsen, Wojciech Zbijewski

Proceedings Volume 11595, 1159525 (2021) https://doi.org/10.1117/12.2581287

KEYWORDS: Chest, Heart, X-rays, X-ray detectors, Sensors, X-ray computed tomography, Visualization, Robotics, Robotic systems

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Proceedings Article | 15 February 2021 Presentation + Paper

Effects of x-ray scatter in quantitative dual-energy imaging using dual-layer flat panel detectors

Chumin Zhao, Stephen Liu, Wenying Wang, Magdalena Herbst, Thomas Weber, Sebastian Vogt, Ludwig Ritschl, Steffen Kappler, J. Webster Stayman, Jeffrey Siewerdsen, Wojciech Zbijewski

Proceedings Volume 11595, 115952A (2021) https://doi.org/10.1117/12.2581822

KEYWORDS: Sensors, X-rays, X-ray imaging, X-ray detectors, Dual energy imaging, Error analysis, Scintillators, Minerals, Copper, Cesium

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Purpose: We compare the effects of scatter on the accuracy of areal bone mineral density (BMD) measurements obtained using two flat-panel detector (FPD) dual-energy (DE) imaging configurations: a dual-kV acquisition and a dual-layer detector. Methods: Simulations of DE projection imaging were performed with realistic models of x-ray spectra, scatter, and detector response for dual-kV and dual-layer configurations. A digital body phantom with 4 cm Ca inserts in place of vertebrae (concentrations 50 - 400 mg/mL) was used. The dual-kV configuration involved an 80 kV low-energy (LE) and a 120 kV high-energy (HE) beam and a single-layer, 43x43 cm FPD with a 650 μm cesium iodide (CsI) scintillator. The dual-layer configuration involved a 120 kV beam and an FPD consisting of a 200 μm CsI layer (LE data), followed by a 1 mm Cu filter, and a 550 μm CsI layer (HE data). We investigated the effects of an anti-scatter grid (13:1 ratio) and scatter correction. For the correction, the sensitivity to scatter estimation error (varied ±10% of true scatter distribution) was evaluated. Areal BMD was estimated from projection-domain DE decomposition. Results: In the gridless dual-kV setup, the scatter-to-primary ratio (SPR) was similar for the LE and HE projections, whereas in the gridless dual layer setup, the SPR was ~26% higher in the LE channel (top CsI layer) than in the HE channel (bottom layer). Because of the resulting bias in LE measurements, the conventional projection-domain DE decomposition could not be directly applied to dual-layer data; this challenge persisted even in the presence of a grid. In contrast, DE decomposition of dual-kV data was possible both without and with the grid; the BMD error of the 400 mg/mL insert was -0.4 g/cm² without the grid and +0.3 g/cm² with the grid. The dual-layer FPD configuration required accurate scatter correction for DE decomposition: a -5% scatter estimation error resulted in -0.1 g/cm² BMD error for the 50 mg/mL insert and a -0.5 g/cm² BMD error for the 400 mg/mL with a grid, compared to <0.1 g/cm² for all inserts in a dual-kV setup with the same scatter estimation error. Conclusion: This comparative study of quantitative performance of dual-layer and dual-kV FPD-based DE imaging indicates the need for accurate scatter correction in the dual-layer setup due to increased susceptibility to scatter errors in the LE channel.

Proceedings Article | 16 March 2020 Presentation + Paper

Slot-scan dual-energy measurement of bone mineral density on a robotic x-ray system

C. Zhao, C. Luckner, M. Herbst, S. Vogt, L. Ritschl, S. Kappler, J. Siewerdsen, W. Zbijewski

Proceedings Volume 11312, 1131205 (2020) https://doi.org/10.1117/12.2549631

KEYWORDS: Bone, X-rays, Dual energy x-ray absorptiometry, Spine, Minerals, Robotics, Robotic systems, Radiography, Sensors, X-ray imaging

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Purpose: We investigate the feasibility of slot-scan dual-energy x-ray absorptiometry (DXA) on robotic x-ray platforms capable of synchronized source and detector translation. This novel approach will enhance the capabilities of such platforms to include quantitative assessment of bone quality using areal bone mineral density (aBMD), normally obtained only with a dedicated DXA scanner. Methods: We performed simulation studies of a robotized x-ray platform that enables fast linear translation of the x-ray source and flat-panel detector (FPD) to execute slot-scan dual-energy (DE) imaging of the entire spine. Two consecutive translations are performed to acquire the low-energy (LE, 80 kVp) and high-energy (HE, 120 kVp) data in <15 sec total time. The slot views are corrected with convolution-based scatter estimation and backprojected to yield tiled long-length LE and HE radiographs. Projection-based DE decomposition is applied to the tiled radiographs to yield (i) aBMD measurements in bone, and (ii) adipose content measurement in bone-free regions. The feasibility of achieving accurate aBMD estimates was assessed using a high-fidelity simulation framework with a digital body phantom and a realistic bone model covering a clinically relevant range of mineral densities. Experiments examined the effects of slot size (1 – 20 cm), scatter correction, and patient size/adipose content (waist circumference: 77 – 95 cm) on the accuracy and reproducibility of aBMD. Results: The proposed combination of backprojection-based tiling of the slot views and DE decomposition yielded bone density maps of the spine that were free of any apparent distortions. The x-ray scatter increased with slot width, leading to aBMD errors ranging from 0.2 g/cm² for a 5 cm slot to 0.7 g/cm² for a 20 cm slot when no scatter correction was applied. The convolution-based correction reduced the aBMD error to within 0.02 g/cm² for slot widths <10 cm. Reproducible aBMD measurements across a range of body sizes (aBMD variability <0.1 g/cm²) were achieved by applying a calibration based on DE adipose thickness estimates from peripheral body sites. Conclusion: The feasibility of accurate and reproducible aBMD measurements on an FPD-based x-ray platform was demonstrated using DE slot scan trajectories, backprojection-domain decomposition, scatter correction, and adipose precorrection.

Proceedings Article | 28 May 2019 Paper

Optimization of cone-beam CT scan orbits for cervical spine imaging

Chumin Zhao, Magdalena Herbst, Sebastian Vogt, Ludwig Ritschl, Steffen Kappler, Jeffrey Siewerdsen, Wojciech Zbijewski

Proceedings Volume 11072, 110720U (2019) https://doi.org/10.1117/12.2534754

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Purpose: We investigate cone-beam CT (CBCT) imaging protocols and scan orbits for 3D cervical spine imaging on a twin-robotic x-ray imaging system (Multitom Rax). Tilted circular scan orbits are studied to assess potential benefits in visualization of lower cervical vertebrae, in particular in low-dose imaging scenarios. Methods: The Multitom Rax system enables flexible scan orbit design by using two robotic arms to independently move the x-ray source and detector. We investigated horizontal and tilted circular scan orbits (up to 45° tilt) for 3D imaging of the cervical spine. The studies were performed using an advanced CBCT simulation framework involving GPU accelerated x-ray scatter estimation and accurate modeling of x-ray source, detector and noise. For each orbit, the x-ray scatter and scatter-to-primary ratio (SPR) were evaluated; cervical spine image quality was characterized by analyzing the contrast-to-noise ratio (CNR) for each vertebrae. Performance evaluation was performed for a range of scan exposures (263 mAs/scan – 2.63 mAs/scan) and standard and dedicated low dose reconstruction protocols. Results: The tilted orbit reduces scatter and increases primary detector signal for lower cervical vertebrae because it avoids ray paths crossing through both shoulders. Orbit tilt angle of 35° was found to achieve a balanced performance in visualization of upper and lower cervical spine. Compared with a flat orbit, using the optimized 35° tilted orbit reduces lateral projection SPR at the C7 vertebra by <40%, and increases CNR by 220% for C6 and 76% for C7. Adequate visualization of the vertebrae with CNR <1 was achieved for scan exposures as low as 13.2 mAs / scan, corresponding to ~3 mGy absorbed spine dose. Conclusion: Optimized tilted scan orbits are advantageous for CBCT imaging of the cervical spine. The simulation studies presented here indicate that CBCT image quality sufficient for evaluation of spine alignment and intervertebral joint spaces might be achievable at spine doses below 5 mGy.

Proceedings Article | 4 March 2019 Presentation + Paper

Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability

N. Kaiser, A. Fieselmann, S. Vesal, N. Ravikumar, L. Ritschl, S. Kappler, A. Maier

Proceedings Volume 10952, 109520O (2019) https://doi.org/10.1117/12.2513420

KEYWORDS: Breast, Neural networks, Breast cancer, Convolutional neural networks, Image segmentation, Tissues, Image classification, Feature extraction, Mammography, Algorithm development

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Proceedings Article | 1 March 2019 Presentation + Paper

Misalignment compensation for ultra-high-resolution and fast CBCT acquisitions

Magdalena Herbst, Christoph Luckner, Julia Wicklein, Jan-Peter Grunz, Tobias Gassenmaier, Ludwig Ritschl, Steffen Kappler

Proceedings Volume 10948, 109481M (2019) https://doi.org/10.1117/12.2513276

KEYWORDS: Image quality, Data acquisition, Image resolution, Visibility, Calibration, Medicine, Diagnostics, X-ray imaging

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Proceedings Article | 1 March 2019 Presentation + Paper

A robotic x-ray cone-beam CT system: trajectory optimization for 3D imaging of the weight-bearing spine

C. Zhao, M. Herbst, S. Vogt, L. Ritschl, S. Kappler, J. Siewerdsen, W. Zbijewski

Proceedings Volume 10948, 109481L (2019) https://doi.org/10.1117/12.2513433

KEYWORDS: X-rays, Sensors, Spine, Monte Carlo methods, X-ray imaging, Imaging systems, Robotics, Stereoscopy, X-ray computed tomography, Robotic systems

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Purpose: We optimize scan orbits and acquisition protocols for 3D imaging of the weight-bearing spine on a twin-robotic x-ray system (Multitom Rax). An advanced Cone-Beam CT (CBCT) simulation framework is used for systematic optimization and evaluation of protocols in terms of scatter, noise, imaging dose, and task-based performance in 3D image reconstructions. Methods: The x-ray system uses two robotic arms to move an x-ray source and a 43×43 cm² flat-panel detector around an upright patient. We investigate two classes of candidate scan orbits, both with the same source-axis distance of 690 mm: circular scans with variable axis-detector distance (ADD, air gap) ranging from 400 to 800 mm, and elliptical scans, where the ADD smoothly changes between the anterior-posterior view (ADDAP) and the lateral view (ADDLAT). The study involved elliptical orbits with fixed ADDAP of 400 mm and variable ADDLAT, ranging 400 to 800 mm. Scans of human lumbar spine were simulated using a framework that included accelerated Monte Carlo scatter estimation and realistic models of the x-ray source and detector. In the current work, x-ray fluence was held constant across all imaging configurations, corresponding to 0.5 mAs/frame. Performance of circular and elliptical orbits was compared in terms of scatter and scatter-to-primary ratio (SPR) in projections, and contrast, noise, contrast-to-noise ratio (CNR), and truncation (field of view, FOV) in 3D image reconstructions. Results: The highest mean SPR was found in lateral views, ranging from ~5 at ADD of 300 mm to ~1.2 at ADD of 800 mm. Elliptical scans enabled image acquisition with reduced lateral SPR and almost constant SPR across projection angles. The improvement in contrast across the investigated range of air gaps (due to reduction in scatter) was ~2.3x for circular orbits and ~1.9x for elliptical orbits. The increase in noise associated with increased ADD was more pronounced for circular scans (~2x) compared to elliptical scans (~1.5x). The circular orbit with the best CNR performance (ADD=600 mm) yielded ~10% better CNR than the best elliptical orbit (ADD_LAT=600 mm); however, the elliptical orbit increased FOV by ~16%. Conclusion: The flexible imaging geometry of the robotic x-ray system enables development of highly optimized scan orbits. Imaging of the weight-bearing spine could benefit from elliptical detector trajectories to achieve improved tradeoffs in scatter reduction, noise, and truncation.

Proceedings Article | 1 March 2019 Paper

Assessment of measurement deviations: length-extended x-ray imaging for orthopedic applications

Christoph Luckner, Magdalena Herbst, Ludwig Ritschl, Andreas Maier, Steffen Kappler

Proceedings Volume 10948, 1094839 (2019) https://doi.org/10.1117/12.2511507

KEYWORDS: Calibration, Distortion, X-rays, Spine, X-ray imaging, Distance measurement, Radiography

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SPIE Journal Paper | 5 February 2019 Open Access

Volumetric breast density measurement for personalized screening: accuracy, reproducibility, consistency, and agreement with visual assessment

Andreas Fieselmann, Daniel Förnvik, Hannie Förnvik, Kristina Lång, Hanna Sartor, Sophia Zackrisson, Steffen Kappler, Ludwig Ritschl, Thomas Mertelmeier

JMI, Vol. 6, Issue 03, 031406, (February 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.3.031406

KEYWORDS: Breast, Digital breast tomosynthesis, Tissues, Visualization, Mammography, Breast cancer, Medicine, Magnetic resonance imaging, X-ray imaging, X-rays

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Proceedings Article | 6 July 2018 Paper

A hybrid approach for virtual clinical trials for mammographic imaging

Frank Schebesch, Magdalena Herbst, Thomas Mertelmeier, Andreas Maier, Ludwig Ritschl

Proceedings Volume 10718, 107180Z (2018) https://doi.org/10.1117/12.2318452

KEYWORDS: Digital breast tomosynthesis, Signal attenuation, Signal detection, Breast, Tissues, Image quality, Clinical trials, Digital mammography, 3D image reconstruction, Psychophysics

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Proceedings Article | 6 July 2018 Paper

Towards an analytic model describing the effect of scan angle and slice thickness on the in-plane spatial resolution of calcifications in digital breast tomosynthesis

Christoph Luckner, Frank Schebesch, Thomas Mertelmeier, Andreas Fieselmann, Andreas Maier, Ludwig Ritschl

Proceedings Volume 10718, 107181R (2018) https://doi.org/10.1117/12.2318099

KEYWORDS: Spatial resolution, Digital breast tomosynthesis, 3D image processing, Breast, Data modeling, X-ray imaging, Error analysis

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Proceedings Article | 6 July 2018 Paper

Volumetric breast density measurement for personalized screening: accuracy, reproducibility, and agreement with visual assessment

Andreas Fieselmann, Daniel Förnvik, Hannie Förnvik, Kristina Lång, Hanna Sartor, Sophia Zackrisson, Ludwig Ritschl, Thomas Mertelmeier

Proceedings Volume 10718, 107180A (2018) https://doi.org/10.1117/12.2315069

KEYWORDS: Breast, Digital breast tomosynthesis, Tissues, Mammography, Medicine, Breast cancer, Image processing, X-rays

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Proceedings Article | 9 March 2018 Paper

Hairline fracture detection using Talbot-Lau x-ray imaging

C. Hauke, G. Anton, S. Auweter, P. Bartl, J. Freudenberger, K. Hellbach, M. Leghissa, F. Meinel, T. Mertelmeier, R. Nanke, M. Radicke, M. Reiser, L. Ritschl, S. Sellner, S. Sutter, T. Weber, J. Zeidler, T. Geith

Proceedings Volume 10573, 105734F (2018) https://doi.org/10.1117/12.2293504

KEYWORDS: X-ray imaging, X-rays, Bone, Interferometers, Radiography

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Proceedings Article | 9 March 2018 Presentation + Paper

Parallel-shift tomosynthesis for orthopedic applications

Christoph Luckner, Stefan Sesselmann, Thomas Mertelmeier, Andreas Maier, Ludwig Ritschl

Proceedings Volume 10573, 105730G (2018) https://doi.org/10.1117/12.2292384

KEYWORDS: Image filtering, Radiography, Tomography, X-rays, Spine, Calibration, Image resolution, Reconstruction algorithms, Orthopedic imaging

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Proceedings Article | 9 March 2018 Presentation + Paper

X-ray cone-beam imaging of the entire spine in the weight-bearing position

F. Noo, A. Fieselmann, M. Oktay, M. Herbst, L. Ritschl, S. Vogt, T. Mertelmeier

Proceedings Volume 10573, 105730S (2018) https://doi.org/10.1117/12.2293579

KEYWORDS: Spine, X-rays, Data acquisition, Sensors, X-ray imaging, Diagnostics, Calibration, Radiology, Radiography, Medicine, Exact cone beam reconstruction

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Proceedings Article | 9 March 2017 Presentation + Paper

Metal and calcification artifact reduction for digital breast tomosynthesis

Julia Wicklein, Anna Jerebko, Ludwig Ritschl, Thomas Mertelmeier

Proceedings Volume 10132, 1013224 (2017) https://doi.org/10.1117/12.2254307

KEYWORDS: Image segmentation, Metals, Breast, Digital breast tomosynthesis, Biopsy, Mammography, Reconstruction algorithms, Tissues, Image filtering, Solids, Algorithm development, Surgery

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Proceedings Article | 22 March 2016 Paper

Twin robotic x-ray system for 2D radiographic and 3D cone-beam CT imaging

Andreas Fieselmann, Jan Steinbrener, Anna Jerebko, Johannes Voigt, Rosemarie Scholz, Ludwig Ritschl, Thomas Mertelmeier

Proceedings Volume 9783, 97830G (2016) https://doi.org/10.1117/12.2212242

KEYWORDS: Imaging systems, X-rays, X-ray computed tomography, Robotic systems, 3D image processing, Radiography, X-ray imaging, Orthopedic imaging, 3D image reconstruction, Sensors, Image quality, Data acquisition

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Proceedings Article | 18 March 2015 Paper

The rotate-plus-shift C-arm trajectory: complete CT data with limited angular rotation

Ludwig Ritschl, Jan Kuntz, Marc Kachelrieß

Proceedings Volume 9412, 941221 (2015) https://doi.org/10.1117/12.2081925

KEYWORDS: Sensors, Fluctuations and noise, Stereoscopy, Image quality, Data acquisition, Computed tomography, Prototyping, 3D image processing, Physics, Cancer

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Proceedings Article | 17 March 2011 Paper

Improved total variation regularized image reconstruction (iTV) applied to clinical CT data

Ludwig Ritschl, Marc Kachelriess

Proceedings Volume 7961, 79612R (2011) https://doi.org/10.1117/12.878070

KEYWORDS: Reconstruction algorithms, Metals, Tomography, Image restoration, Computed tomography, Image quality, Compressed sensing, Optimization (mathematics), X-rays, CT reconstruction

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Proceedings Article | 23 March 2010 Paper

A new approach to limited angle tomography using the compressed sensing framework

Ludwig Ritschl, Frank Bergner, Marc Kachelriess

Proceedings Volume 7622, 76222H (2010) https://doi.org/10.1117/12.844303

KEYWORDS: Reconstruction algorithms, Image segmentation, Image processing algorithms and systems, Compressed sensing, Computed tomography, Tomography, Data analysis, Radon transform, Algorithm development, Bone

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