Ryan Andosca

To quantify the precision and accuracy of a five-dimensional computed tomography (5DCT) free-breathing simulation approach in a large clinical cohort.

Dense lung vasculature landmarking is vital for assessing thoracic registration accuracy in treatment planning. We demonstrate an automated method for identifying vascular bifurcations in free-breathing CT images.

A CT-simulation approach has been developed which images free breathing patients with lung tumors by generating a motion model that is a function of breathing amplitude and rate (5DCT). Of the >300 patients simulated with 5DCT, 13 have been simulated more tha...

Functional avoidance radiotherapy requires accurate regional lung ventilation mapping. Jacobian-based free-breathing ventilation derived from deformable image registration (DIR) of 4DCT is established but susceptible to inaccuracies caused by errors in the di...

In investigating image-based lung ventilation, a fundamental question must be answered: is the measurement technique repeatable? Repeatability of ventilation imaging in PET and CT have been studied, but MRI is emerging. Crucial to deriving ventilation is the...

Standard Cone-Beam CT (CBCT) has limited utility in longitudinal lung tumor response assessment due to the presence of motion artifacts. Our proposed method of motion-compensated Simultaneous Algebraic Reconstruction Technique (mcSART) addresses these artifac...

4DCT is widely considered the standard for lung cancer radiation therapy treatment planning (TP) despite susceptibility to breathing-related motion artifacts that often render images unusable. Five-dimensional CT (5DCT), a model-based CT reconstruction method...

Recent advances in MRI could offer patients with benign lung disease whole-lung ventilation mapping that may serve as a surrogate for pathophysiological changes such as increased airway resistance and decreased lung compliance. Ventilation maps can be derived...