Fraunhofer Institute for Digital Medicine MEVISJan Rühaak, PhD
Publications
2019
Grob D, Oostveen L, Rühaak J, Heldmann S, Mohr B, Michielsen K, Dorn S, Prokop M, Kachelrieβ M, Brink M, Sechopoulos I (2019) Accuracy of registration algorithms in subtraction CT of the lungs: A digital phantom study. Med Phys 46(5):2264–2274
2018
König L, Rühaak J, Derksen A, Lellmann J (2018) A matrix-free approach to parallel and memory-efficient deformable image registration. SIAM J Sci Comput 40(3):B858–B888
Strehlow J, Spahr N, Rühaak J, Laue H, Abolmaali N, Preusser T, Schenk A (2018) Landmark-based evaluation of a deformable motion correction for DCE-MRI of the liver. Int J CARS 13(4):597–606
2017
Rühaak J, König L, Tramnitzke F, Köstler H, Modersitzki J (2017) A Matrix-Free Approach to Efficient Affine-Linear Image Registration on CPU and GPU. J Real-Time Image Proc 13(1):205–225
Rühaak J, Polzin T, Heldmann S, Simpson IJA, Handels H, Modersitzki J, Heinrich MP (2017) Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration. IEEE Trans Med Imaging 36(8):1746–1757
Ruehaak J (2017) Matrix-Free Techniques for Efficient Image Registration and Their Application to Pulmonary Image Analysis. Ph.D. thesis
2016
Stützer K, Haase R, Lohaus F, Barczyk S, Exner F, Löck S, Rühaak J, Lassen-Schmidt B, Corr D, Richter C (2016) Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy. Med Phys 43(9):5028–5039
2015
De Luca V, Benz T, Kondo S, König L, Lübke D, Rothlübbers S, Somphone O, Allaire S, Bell MAL, Chung DYF, Cifor A, Grozea C, Günther M, Jenne J, Kipshagen T, Kowarschik M, Navab N, Rühaak J, Schwaab J, Tanner C (2015) The 2014 liver ultrasound tracking benchmark. Phys Med Biol 60(14):5571–5599
Pompe E, van Rikxoort EM, Schmidt M, Rühaak J, Gallardo-Estrella L, Vliegenthart R, Oudkerk M, de Koning HJ, van Ginneken B, de Jong PA, Lammers J-WJ, Mohamed Hoesein FAA (2015) Parametric response mapping adds value to current computed tomography biomarkers in diagnosing chronic obstructive pulmonary disease. Am J Respir Crit Care Med 191(9):1084–1086
Rühaak J, Derksen A, Heldmann S, Hallmann M, Meine H (2015) Accurate CT-MR image registration for deep brain stimulation: a multi-observer evaluation study. Proceedings of SPIE Medical Imaging: Image Processing. 941337:pp 1–7
Wang L, Strehlow J, Ruehaak J, Weiler F, Diez Y, Gubern-Mérida A, Diekmann S, Laue H, Hahn HK (2015) A fast alignment method for breast MRI follow-up studies using automated breast segmentation and current-prior registration. Proceedings of SPIE Medical Imaging: Image Processing. 941334:pp 1–8
2014
Berg R, König L, Rühaak J, Lausen R, Fischer B (2014) Highly Efficient Image Registration for Embedded Systems Using a Distributed Multicore DSP Architecture. J Real-Time Image Proc 1–21
Chen K, Heldmann S, Rühaak J, Hallmann M (2014) Construction of Average STN Atlas using Image Registration and Reconstruction. Proc. MICCAI 2014 Workshop on Deep Brain Stimulation Methodological Challenges – 2nd Edition. Boston, USA, pp 1–9
Haase R, Lohaus F, Rühaak J, van Straaten D, Zöphel K, Richter C (2014) Einfluss deformierbarer Bildregistrierung von PET/CT-Verlaufsdaten auf die Signalwerte innerhalb einer Kontur: Deformation auf Konturen oder Bilddaten anwenden? Proceedings of 20. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO), Düsseldorf
König L, Rühaak J (2014) A Fast and Accurate Parallel Algorithm for Non-Linear Image Registration using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Beijing, China, pp 580–583
König L, Kipshagen T, Rühaak J (2014) A Non-Linear Image Registration Scheme for Real-Time Liver Ultrasound Tracking using Normalized Gradient Fields. Proc. MICCAI Challenge on Liver Ultrasound Tracking (CLUST 2014). Boston, USA, pp 29–36
Polzin T, Rühaak J, Werner R, Handels H, Modersitzki J (2014) Lung Registration using Automatically Detected Landmarks. Methods Inf Med 53(4):250–256
Sorrentino S, Peperhove M, Kaireit T, Rühaak J, Strehlow J, Wacker F, Vogel-Claussen J, Shin H (2014) Entwicklung eines virtuellen 2D-Herz-Phantoms für die Berechnung regionaler myokardialer Wandbewegung mittels nicht-rigider Bildregistrierung. 207
Tramnitzke F, Rühaak J, König L, Modersitzki J, Köstler H (2014) GPU Based Affine Linear Image Registration using Normalized Gradient Fields. Proc. Seventh International Workshop on High Performance Computing for Biomedical Image Analysis (HPC-MICCAI). Boston, USA, pp 5–14
2013
Polzin T, Rühaak J, Werner R, Strehlow J, Heldmann S, Handels H, Modersitzki J (2013) Combining Automatic Landmark Detection and Variational Methods for Lung CT Registration. Proc. Fifth International MICCAI Workshop on Pulmonary Image Analysis (PIA 2013)
Rühaak J, König L, Hallmann M, Papenberg N, Heldmann S, Schumacher H, Fischer B (2013) A Fully Parallel Algorithm for Multimodal Image Registration Using Normalized Gradient Fields. IEEE International Symposium on Biomedical Imaging: From Nano to Macro. San Francisco, California, USA, pp 572–575
Rühaak J, Heldmann S, Kipshagen T, Fischer B (2013) Highly Accurate Fast Lung CT Registration. Proceedings of SPIE Medical Imaging. 86690Y:pp 1–9
2012
Strehlow J, Rühaak J, Kluck C, Fischer B (2012) Effiziente Verpunktung pulmonaler MR-Bilder zur Evaluierung von Registrierungsergebnissen. Bildverarbeitung für die Medizin. pp 219–224
2011
Moltz JH, Rühaak J, Hahn HK, Peitgen H-O (2011) A Novel Adaptive Scoring System for Segmentation Validation with Multiple Reference Masks. Proc SPIE Medical Imaging. 796214:pp 1–10
Moltz JH, Braunewell S, Rühaak J, Heckel F, Barbieri S, Tautz L, Hahn HK, Peitgen H-O (2011) Analysis of Variability in Manual Liver Tumor Delineation in CT Scans. IEEE International Symposium on Biomedical Imaging. pp 1974–1977
Rühaak J, Heldmann S, Fischer B (2011) Improving Lung Registration by Incorporating Anatomical Knowledge: A Variational Approach. Proc. Fourth International MICCAI Workshop on Pulmonary Image Analysis (PULMO 2011). pp 147–156