This inventor holds 2 USPTO granted patents. Top assignees: Johns Hopkins University, The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc., The United States of America, as Represented by the Secretary, Department of Health and Human Services. Active years: 2017-2018.
Location History:
- Baltimore, MD (US) (2017)
- New York, NY (US) (2018)
Company Filing History:



Years Active: 2017-2018
Title: Arthur Jeffrey Goldsmith: Innovator in Medical Imaging
Introduction
Arthur Jeffrey Goldsmith is a notable inventor based in New York, NY (US). He has made significant contributions to the field of medical imaging, particularly in the analysis of MRI data. With a total of 2 patents, Goldsmith's work focuses on improving the detection and analysis of brain abnormalities.
Latest Patents
Goldsmith's latest patents include a method of analyzing multi-sequence MRI data for analyzing brain abnormalities in a subject. This invention, known as Oasis, stands for Automated Statistical Inference for Segmentation. Oasis is a fully automated and robust statistical method for cross-sectional MS lesion segmentation. It utilizes intensity information from multiple modalities of MRI, employing a logistic regression model to assign voxel-level probabilities of lesion presence. The OASIS model produces interpretable results in the form of regression coefficients that can be applied to imaging studies quickly and easily. Additionally, Oasis uses intensity-normalized brain MRI volumes, making the model robust to changes in scanner and acquisition sequence. It also adjusts for intensity inhomogeneities that preprocessing bias field correction procedures do not remove, using BLUR volumes. This allows for more accurate segmentation of brain areas that are highly distorted by inhomogeneities, such as the cerebellum. One of the most practical properties of OASIS is that the method is fully transparent, easy to implement, and simple to modify for new data sets.
Another significant patent by Goldsmith is a system and method of automatically detecting tissue abnormalities. This method involves obtaining first image data for a region of interest in a subject, normalizing the data based on statistical parameters, and generating a probability map indicating the likelihood of abnormalities being present.
Career Highlights
Goldsmith has worked with prestigious institutions such as Johns Hopkins University and the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc. His work has had a profound impact on the field of medical imaging and the analysis of brain abnormalities.
Collaborations
Some of Goldsmith's notable coworkers include Daniel H. Reich and Elizabeth M. Sweeney. Their collaborative efforts have contributed to advancements in medical imaging technologies.
Conclusion
Arthur Jeffrey Goldsmith is a distinguished inventor whose work in medical imaging has led to innovative methods for analyzing brain abnormalities. His contributions continue to influence the field and improve diagnostic capabilities.