Quantifying Biomechanical Properties from Dynamic Imaging

Quantifying Biomechanical Properties from Dynamic Imaging

Deformable image registration (DIR) algorithms can be used to recover the motion of objects (i.e. organs) depicted within a temporal series of anatomical images (dynamic imaging). Functional properties of the imaged organ or tissue are then inferred from the information embedded within the DIR solution (recovered motion) and the underlying image data. My current research focuses on further developing Computed Tomography-Derived Functional Imaging (CT-FI). CT-FI is an image processing-based modality that employs mathematical modeling and scientific computing to generate quantifiable surrogates for pulmonary ventilation and perfusion from dynamic computed tomography. The figures above show the results from the CT-FI Perfusion estimate (left) and the actual nuclear medicine perfusion image (right).

Publications

  1. Edward Castillo, Yevgeniy Vinogradskiy, and Richard Castillo. Robust HU-Based CT-Ventilation from an Integrated Mass Conservation Formulation. Medical Physics. 46(11): 5036-5046, 2019. (Editor’s Choice Featured Article)
  2. Edward Castillo, Richard Castillo, Yevgeniy Vinogradskiy, Michele Dougherty, David Solis, Nicholas Myziuk, Andrew Thompson, Rudy Guerra, Girish Nair, and Thomas Guerrero. Robust CT-Ventilation from the Integral Formulation of the Jacobian. Medical Physics. 45(5): 2115-2125, 2019. (Editor's Choice Featured Article, Issue Cover Article)
  3. Yuncheng Zhong, Yevgeniy Vinogradskiy, Liyuan Chen, Nicholas Myziuk, Richard Castillo, Edward Castillo, Thomas Guerrero, and Steve Jiang. Technical Note: Deriving Ventilation Imaging from 4DCT by Deep Convolutional Neural Network. Medical Physics, 45(5): 2323-2329, 2019
  4. Nicholas Myziuk, Thomas Guerrero, Gukan Sakthivel, David Solis, Girish Nair, Rudy Guerra, and Edward Castillo. Pulmonary Blood Mass Dynamics on 4DCT During Tidal Breathing. Physics in Medicine and Biology, 64(4), 2019.
  5. Edward Castillo, Richard Castillo, Yevgeniy Vinogradskiy, and Thomas Guerrero. The Numerical Stability of Transformation-Based CT Ventilation. International Journal of Computer Assisted Radiology and Surgery, 12(4): 569-580, 2017.
  6. David Fuentes, Jessika Contreras, Justin Yu, Renjie He, Richard Castillo, Edward Castillo, and Thomas Guerrero. Morphometry Based Measurements of the Structural Response to Whole Brain Radiation. International Journal of Computer Assisted Radiology and Surgery, 10(4): 393-401, 2015.
  7. Lindsay Mathew, Andrew Wheatly, Richard Castillo, Edward Castillo, George Rodrigues, Thomas Guerrero, and Grace Parraga. Hyperpolarized 3He Magnetic Resonance Imaging: Comparison with Four-dimensional x-ray Computed Tomography Imaging in Lung Cancer. Academic Radiology, 19: 1546-1553, 2012.
  8. Richard Castillo, Edward Castillo, Matthew McCurdy, Daniel R. Gomez, Alec M. Block, Derek Bergsma, Sarah Joy, and Thomas Guerrero. Spatial Correlation of 4D CT Ventilation and SPECT Pulmonary Perfusion Defects in Patients with Malignant Airway Stenosis. Physics in Medicine and Biology, 57: 1855-1871, 2012.
  9. Richard Castillo, Edward Castillo, Josue Martinez, and Thomas Guerrero. Ventilation from Four Dimensional Computed Tomography: Density Versus Jacobian Methods. Physics in Medicine and Biology, 55: 4661-4685, 2010.
  10. Thomas Guerrero, Kevin Sanders, Edward Castillo, Yin Zhang, Luc Bidaut, Tinsu Pan, and Ritsuko Komaki. Dynamic Ventilation Imaging from Four-Dimensional Computed Tomography. Physics in Medicine and Biology, 51: 1-15, 2006.
  11. Thomas Guerrero, Kevin Sanders, Josue Noyola-Martinez, Edward Castillo, Yin Zhang, Richard Tapia, Rudy Guerra, Yerko Borghero, and Ritsuko Komaki. Quantification of Regional Ventilation from Treatment Planning CT. International Journal of Radiation Oncology, Biology, Physics, 62: 630-634, 2005.

All Publications