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Photorealistic three-dimensional visualization of fusion datasets: cinematic rendering of PET/CT

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Abdominal Radiology Aims and scope Submit manuscript

Abstract

Purpose

Cinematic rendering (CR) is a method of photorealistic 3D visualization of volumetric imaging data. We applied this technique to fusion PET/CT data.

Methods

Two recent PET/CT cases were selected, one each of prostate-specific membrane antigen (PSMA)-targeted 18F-DCFPyL, and somatostatin-receptor-targeted 68 Ga-DOTATATE. Targeted radiotracers were selected in order to provide high-contrast images for this proof-of-principle study. Cinematic rendering was performed with an enhanced algorithm that incorporated internal lighting within the PET-avid organs and lesions to allow for a distinct visual signature.

Results

The use of internal lighting for PET data provided CR of fused PET/CT scans. The interpreting radiologist must make judicious use of presets and cut planes in order to ensure important findings are not missed.

Conclusions

CR of PET/CT data provides a photorealistic means of visualizing complex fusion imaging datasets. Such visualizations may aid anatomic understanding for surgical or procedural applications, may improve teaching of trainees, and may allow improved communication with patients.

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References

  1. Rowe SP, Fishman EK (2019) Image processing from 2D to 3D In: Medical Radiology. 103–120. Springer Verlag

  2. Johnson PT, Schneider R, Lugo-Fagundo C, Johnson MB, Fishman EK. MDCT angiography with 3D rendering: a novel cinematic rendering algorithm for enhanced anatomic detail. AJR Am J Roentgenol. 2017;209:309-312.

    Article  Google Scholar 

  3. Fritz J, Ahlawat S. High-resolution three-dimensional and cinematic rendering MR neurography. Radiology. 2018;288:25.

    Article  Google Scholar 

  4. Rowe SP, Chu LC, Recht HS, Lin CT, Fishman EK. Black-blood cinematic rendering: a new method for cardiac CT intraluminal visualization. J Cardiovasc Comput Tomogr. 2020;14:272-274.

    Article  Google Scholar 

  5. Rowe SP, Chu LC, Fishman EK. Evaluation of stomach neoplasms with 3-dimensional computed tomography. J Comput Assist Tomogr. 2018;42:661-666.

    Article  Google Scholar 

  6. Rowe SP, Fritz J, Fishman EK. CT evaluation of musculoskeletal trauma: initial experience with cinematic rendering. Emerg Radiol. 2018;25:93-101.

    Article  Google Scholar 

  7. Elshafei M, Binder J, Baecker J, et al. Comparison of cinematic rendering and computed tomography for speed and comprehension of surgical anatomy. JAMA Surg. 2019;154:738-744.

    Article  Google Scholar 

  8. Binder JS, Scholz M, Ellman S, et al. Cinematic rendering in anatomy: a crossover study comparing a novel 3D reconstruction technique to conventional computed tomography. Anat Sci Educ. 2021;14:22-31.

    Article  Google Scholar 

  9. Comaniciu D, Engel K, Georgescu B, Mansi T. Shaping the future through innovations: from medical imaging to precision medicine. Med Image Anal. 2016;33:19–26.

    Article  Google Scholar 

  10. Immel S, Cohen MF, Greenberg DP. A radiosity method for non-diffuse environments. SIGGRAPH. 1986;133-142.

    Article  Google Scholar 

  11. Rowe SP. Artificial intelligence in molecular imaging: at the crossroads of revolutions in medical diagnosis. Ann Transl Med. 2021;9:817.

    Article  Google Scholar 

  12. Solnes LB, Werner RA, Jones KM, et al. Theranostics: leveraging molecular imaging and therapy to impact patient management and secure the future of nuclear medicine. J Nucl Med. 2020;61:311-318.

    Article  CAS  Google Scholar 

  13. Gehrsitz P, Rompel O, Schöber M, et al. Cinematic Rendering in Mixed-Reality Holograms: A New 3D Preoperative Planning Tool in Pediatric Heart Surgery. Front Cardiovasc Med. 2021;8:633611. Published 2021 Feb 9. doi:https://doi.org/10.3389/fcvm.2021.633611.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Rowe SP, Johnson PT, Fishman EK. Cinematic rendering of cardiac CT volumetric data: principles and initial observations. J Cardiovasc Comput Tomogr. 2018;12:56-59.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Radiology and Radiological Science, The Russell H. Morgan, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Baltimore, MD, 21287, USA

    Steven P. Rowe, Martin G. Pomper, Jeffrey P. Leal, Linda C. Chu & Elliot K. Fishman

  2. Siemens Healthineers, Forchheim, Germany

    Robert Schneider & Sebastian Krüger

Authors
  1. Steven P. Rowe
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  2. Martin G. Pomper
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  3. Jeffrey P. Leal
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  4. Robert Schneider
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  5. Sebastian Krüger
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  6. Linda C. Chu
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  7. Elliot K. Fishman
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Corresponding author

Correspondence to Steven P. Rowe.

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Conflict of interest

EKF receives research support from Siemens Healthineers and GE Healthcare and is a co-founder and stockholder in HipGraphics, Inc. Under a license agreement between Progenics (a wholly-owned subsidiary of Lantheus) and the Johns Hopkins University, MGP and the University are entitled to royalties on an invention described in this article. This arrangement has been reviewed and approved by the Johns Hopkins University in accordance with its conflict of interest policies. SPR is a consultant for Progenics. RS and SK are employees of Siemens Healthineers. No other conflicts.

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Rowe, S.P., Pomper, M.G., Leal, J.P. et al. Photorealistic three-dimensional visualization of fusion datasets: cinematic rendering of PET/CT. Abdom Radiol 47, 3916–3920 (2022). https://doi.org/10.1007/s00261-022-03614-1

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  • DOI: https://doi.org/10.1007/s00261-022-03614-1

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