Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks - Summary - MDSpire

Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks

  • By

  • Yazdan Salimi

  • Azadeh Akhavanallaf

  • Zahra Mansouri

  • Isaac Shiri

  • Habib Zaidi

  • June 27, 2023

  • 0 min

Share

Objective:

Emphasize the real-time aspect of the method more.

Key Findings:
  • Include implications of computational intensity in the findings.
Interpretation:

Provide specific examples of how patient safety is improved.

Limitations:
  • Add a note on the implications of the limited sample size.
Conclusion:

Reinforce the connection to personalized medicine.

Original Source(s)

Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks

  • by Yazdan Salimi, Azadeh Akhavanallaf, Zahra Mansouri, Isaac Shiri, Habib Zaidi

  • June 27, 2023

Related Content

Beyond the radiology report: a multi-criteria decision analysis to define essential CT parameters for abdominal wall reconstruction

AI Model May Help Decipher Malignant, Benign Breast Lesions on MRI

Model matches deep-learning accuracy and helps physicians reclassify benign breast lesions.

Research progress in imaging detection of brain metastases