Jha to Advance Quantitative Imaging with NIH Grant

Headshot of Abhinav Jha, PhD.

Abhinav K. Jha, PhD, assistant professor of radiology and biomedical engineering at Washington University in St. Louis, aims to develop a new framework to evaluate quantitative imaging (QI) methods without a gold standard thanks to a grant from the National Institutes of Health. 

According to Jha, QI offers exciting new possibilities in improving disease diagnosis and therapy; however, to clinically evaluate the reliability of QI measurement methods, a gold standard is needed — a process that can be time-consuming, expensive and unreliable.

But with the four-year, $1.83 million NIH grant, Jha, his collaborators and members of the Computational Medical Imaging Lab will measure the efficacy of this no-gold-standard evaluation tool in evaluating different tumor segmentation methods. Specifically, they will measure the volumetric features from a type of PET scan used to detect metabolically active malignant lesions in patients with stage 3 non-small cell lung cancer. 

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