Effects of different virtual monoenergetic CT image data on chest wall post-processing “unfolded ribs” and proposal of an algorithm improvement

Author:

Hagen FlorianORCID,Grimmer Rainer,Ditt Hendrik,Walder Lukas,Wrazidlo Robin,Karolin Baumgartner,Hofmann Johannes,Estler ArneORCID,Horger Marius

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Reference23 articles.

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2. Gupta A, Obmann VC, Jordan M, Lennartz S, Obmann MM, Große Hokamp N, Zopfs D, Pennig L, Fürtjes G, Ramaiya N, Gilkeson R, Laukamp KRCT (2021) Artifacts after contrast media injection in chest imaging: evaluation of post-processing algorithms, virtual monoenergetic images and their combination for artifact reduction. Quant Imaging Med Surg 11:226–239. https://doi.org/10.21037/qims-20-435

3. Lennartz S, Große Hokamp N, Zäske C, Zopfs D, Bratke G, Glauner A, Maintz D, Persigehl T, Chang D, Hickethier T (2020) Virtual monoenergetic images preserve diagnostic assessability in contrast media reduced abdominal spectral detector CT. Br J Radiol 93:20200340. https://doi.org/10.1259/bjr.20200340

4. Blum A, Gillet R, Rauch A, Urbaneja A, Biouichi H, Dodin G, Germain E, Lombard C, Jaquet P, Louis M, Simon L, Gondim TP (2020) 3D reconstructions, 4D imaging and postprocessing with CT in musculoskeletal disorders: Past, present and future. Diagn Interv Imaging 101:693–705. https://doi.org/10.1016/j.diii.2020.09.008

5. Bier G, Mustafa DF, Kloth C, Weisel K, Ditt H, Nikolaou K, Horger M (2016) Improved follow-up and response monitoring of thoracic cage involvement in multiple myeloma using a novel CT postprocessing software: the lessons we learned. AJR Am J Roentgenol 206:57–63. https://doi.org/10.2214/AJR.15.15089

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