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Items: 25

1.

Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system.

Hariharan SG, Kaethner C, Strobel N, Kowarschik M, DiNitto J, Albarqouni S, Fahrig R, Navab N.

Int J Comput Assist Radiol Surg. 2019 Jul;14(7):1117-1126. doi: 10.1007/s11548-019-01968-4. Epub 2019 Apr 12.

PMID:
30977093
2.

An analytical approach for the simulation of realistic low-dose fluoroscopic images.

Hariharan SG, Strobel N, Kaethner C, Kowarschik M, Fahrig R, Navab N.

Int J Comput Assist Radiol Surg. 2019 Apr;14(4):601-610. doi: 10.1007/s11548-019-01912-6. Epub 2019 Feb 18.

PMID:
30779022
3.

A learning-based material decomposition pipeline for multi-energy x-ray imaging.

Lu Y, Kowarschik M, Huang X, Xia Y, Choi JH, Chen S, Hu S, Ren Q, Fahrig R, Hornegger J, Maier A.

Med Phys. 2019 Feb;46(2):689-703. doi: 10.1002/mp.13317. Epub 2018 Dec 24.

PMID:
30508253
4.

A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model.

Zhong X, Strobel N, Birkhold A, Kowarschik M, Fahrig R, Maier A.

Int J Comput Assist Radiol Surg. 2019 Jan;14(1):53-61. doi: 10.1007/s11548-018-1871-y. Epub 2018 Oct 13.

PMID:
30317437
5.

Three-Dimensional Quantitative Color-Coding Analysis of Hepatic Arterial Flow Change during Chemoembolization of Hepatocellular Carcinoma.

Lin EY, Lee RC, Guo WY, Wu FC, Gehrisch S, Kowarschik M.

J Vasc Interv Radiol. 2018 Oct;29(10):1362-1368. doi: 10.1016/j.jvir.2018.04.012. Epub 2018 Aug 28.

PMID:
30170947
6.

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair.

Breininger K, Albarqouni S, Kurzendorfer T, Pfister M, Kowarschik M, Maier A.

Int J Comput Assist Radiol Surg. 2018 Aug;13(8):1221-1231. doi: 10.1007/s11548-018-1779-6. Epub 2018 May 19.

PMID:
29779153
7.

A photon recycling approach to the denoising of ultra-low dose X-ray sequences.

Hariharan SG, Strobel N, Kaethner C, Kowarschik M, Demirci S, Albarqouni S, Fahrig R, Navab N.

Int J Comput Assist Radiol Surg. 2018 Jun;13(6):847-854. doi: 10.1007/s11548-018-1746-2. Epub 2018 Apr 10.

PMID:
29637486
8.

4D DSA for Dynamic Visualization of Cerebral Vasculature: A Single-Center Experience in 26 Cases.

Lang S, Gölitz P, Struffert T, Rösch J, Rössler K, Kowarschik M, Strother C, Doerfler A.

AJNR Am J Neuroradiol. 2017 Jun;38(6):1169-1176. doi: 10.3174/ajnr.A5161. Epub 2017 Apr 13.

9.

Application of Time-Resolved 3D Digital Subtraction Angiography to Plan Cerebral Arteriovenous Malformation Radiosurgery.

Chen KK, Guo WY, Yang HC, Lin CJ, Wu CF, Gehrisch S, Kowarschik M, Wu YT, Chung WY.

AJNR Am J Neuroradiol. 2017 Apr;38(4):740-746. doi: 10.3174/ajnr.A5074. Epub 2017 Jan 26.

10.

Finding the optimal deconvolution algorithm for MR perfusion in carotid stenosis: Correlations with angiographic cerebral circulation time.

Lin CJ, Hung SC, Chang FC, Guo WY, Luo CB, Kowarschik M, Chu WF, Liou AJ.

J Neuroradiol. 2016 Jul;43(4):290-6. doi: 10.1016/j.neurad.2016.02.002. Epub 2016 Mar 30.

PMID:
27038737
11.

Patient-individualized boundary conditions for CFD simulations using time-resolved 3D angiography.

Boegel M, Gehrisch S, Redel T, Rohkohl C, Hoelter P, Doerfler A, Maier A, Kowarschik M.

Int J Comput Assist Radiol Surg. 2016 Jun;11(6):1061-9. doi: 10.1007/s11548-016-1367-6. Epub 2016 Mar 26.

PMID:
27017497
12.

The 2014 liver ultrasound tracking benchmark.

De Luca V, Benz T, Kondo S, König L, Lübke D, Rothlübbers S, Somphone O, Allaire S, Lediju Bell MA, Chung DY, Cifor A, Grozea C, Günther M, Jenne J, Kipshagen T, Kowarschik M, Navab N, Rühaak J, Schwaab J, Tanner C.

Phys Med Biol. 2015 Jul 21;60(14):5571-99. doi: 10.1088/0031-9155/60/14/5571. Epub 2015 Jul 2.

13.

Changes of time-attenuation curve blood flow parameters in patients with and without carotid stenosis.

Lin CJ, Chang FC, Guo WY, Hung SC, Luo CB, Beilner J, Kowarschik M, Chu WF.

AJNR Am J Neuroradiol. 2015 Jun;36(6):1176-81. doi: 10.3174/ajnr.A4239. Epub 2015 Feb 26.

14.

Exploring the Value of Using Color-Coded Quantitative DSA Evaluation on Bilateral Common Carotid Arteries in Predicting the Reliability of Intra-Ascending Aorta Flat Detector CT-CBV Maps.

Zhang Q, Xu R, Sun Q, Zhang H, Mao J, Shan T, Pan W, Deuerling-Zheng Y, Kowarschik M, Beilner J.

AJNR Am J Neuroradiol. 2015 May;36(5):960-6. doi: 10.3174/ajnr.A4238. Epub 2015 Feb 12.

15.

Denoising and artefact reduction in dynamic flat detector CT perfusion imaging using high speed acquisition: first experimental and clinical results.

Manhart MT, Aichert A, Struffert T, Deuerling-Zheng Y, Kowarschik M, Maier AK, Hornegger J, Doerfler A.

Phys Med Biol. 2014 Aug 21;59(16):4505-24. doi: 10.1088/0031-9155/59/16/4505. Epub 2014 Jul 28.

PMID:
25069101
16.

A Fourier-based approach to the angiographic assessment of flow diverter efficacy in the treatment of cerebral aneurysms.

Benz T, Kowarschik M, Endres J, Redel T, Demirci S, Navab N.

IEEE Trans Med Imaging. 2014 Sep;33(9):1788-802. doi: 10.1109/TMI.2014.2320602. Epub 2014 Apr 29.

PMID:
24801649
17.

4D digital subtraction angiography: implementation and demonstration of feasibility.

Davis B, Royalty K, Kowarschik M, Rohkohl C, Oberstar E, Aagaard-Kienitz B, Niemann D, Ozkan O, Strother C, Mistretta C.

AJNR Am J Neuroradiol. 2013 Oct;34(10):1914-21. doi: 10.3174/ajnr.A3529. Epub 2013 Apr 25.

18.

Dynamic iterative reconstruction for interventional 4-D C-arm CT perfusion imaging.

Manhart MT, Kowarschik M, Fieselmann A, Deuerling-Zheng Y, Royalty K, Maier AK, Hornegger J.

IEEE Trans Med Imaging. 2013 Jul;32(7):1336-48. doi: 10.1109/TMI.2013.2257178. Epub 2013 Apr 5.

PMID:
23568497
19.

Application of color-coded digital subtraction angiography in treatment of indirect carotid-cavernous fistulas: initial experience.

Lin CJ, Luo CB, Hung SC, Guo WY, Chang FC, Beilner J, Kowarschik M, Chu WF, Chang CY.

J Chin Med Assoc. 2013 Apr;76(4):218-24. doi: 10.1016/j.jcma.2012.12.009. Epub 2013 Mar 7.

20.

Objective assessment of transcatheter arterial chemoembolization angiographic endpoints: preliminary study of quantitative digital subtraction angiography.

Zhang XB, Zhuang ZG, Ye H, Beilner J, Kowarschik M, Chen JJ, Chi JC, Xu JR.

J Vasc Interv Radiol. 2013 May;24(5):667-71. doi: 10.1016/j.jvir.2013.01.009. Epub 2013 Mar 13.

PMID:
23489772
21.

A workflow for patient-individualized virtual angiogram generation based on CFD simulation.

Endres J, Kowarschik M, Redel T, Sharma P, Mihalef V, Hornegger J, Dörfler A.

Comput Math Methods Med. 2012;2012:306765. doi: 10.1155/2012/306765. Epub 2012 Nov 4.

22.

Measurement of quantifiable parameters by time-density curves in the elastase-induced aneurysm model: first results in the comparison of a flow diverter and a conventional aneurysm stent.

Struffert T, Ott S, Kowarschik M, Bender F, Adamek E, Engelhorn T, Gölitz P, Lang S, Strother CM, Doerfler A.

Eur Radiol. 2013 Feb;23(2):521-7. doi: 10.1007/s00330-012-2611-2. Epub 2012 Aug 16.

PMID:
22895618
23.

Quantifying increased hepatic arterial flow with test balloon occlusion of the splenic artery in liver transplant recipients with suspected splenic steal syndrome: quantitative digitally subtracted angiography correlation with arterial Doppler parameters.

Saad WE, Anderson CL, Kowarschik M, Turba UC, Schmitt TM, Kumer SC, Matsumoto AH, Angle JF.

Vasc Endovascular Surg. 2012 Jul;46(5):384-92. doi: 10.1177/1538574412449394. Epub 2012 Jun 6.

PMID:
22677799
24.

Monitoring peri-therapeutic cerebral circulation time: a feasibility study using color-coded quantitative DSA in patients with steno-occlusive arterial disease.

Lin CJ, Hung SC, Guo WY, Chang FC, Luo CB, Beilner J, Kowarschik M, Chu WF, Chang CY.

AJNR Am J Neuroradiol. 2012 Oct;33(9):1685-90. doi: 10.3174/ajnr.A3049. Epub 2012 Apr 12.

25.

Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details.

Fieselmann A, Kowarschik M, Ganguly A, Hornegger J, Fahrig R.

Int J Biomed Imaging. 2011;2011:467563. doi: 10.1155/2011/467563. Epub 2011 Aug 28.

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