Dr. Muhammad Imran, Postdoctoral Associate in the Department of Medicine, secures another first author publication to the esteemed Journal of Biomedical Signal Processing and Control. This journal’s impact factor of 4.9 and its top 15% distinction in Health Informatics underscore the hard work and dedication the collaborators have put into this project. Their paper titled, Image Registration of In Vivo Micro-Ultrasound and Ex Vivo Pseudo-Whole Mount Histopathology Images of the Prostate: A Proof-of-Concept Study will be published to the journal in October 2024.
Dr. Imran’s collaboration with Dr. Wei Shao, Assistant Professor in the Department of Medicine, have have allowed them to make significant strides in the field of clinician-assisted cancer diagnoses. Their collaborative research has allowed them to explore new depths in this domain, particularly focusing on improvement of diagnostic methods for prostate cancer.
In this paper, they address the current limitations of MRI-guided prostate cancer diagnoses and investigate the potential of micro-ultrasound as a more accessible and cost-effective alternative. However, they recognize a significant challenge: the lack of experience among urologists in using this new platform for diagnosing patients. To address this issue, Dr. Imran, Dr. Shao, and the many other prominent collaborators in the field have come together to develop a highly accurate registration pipeline. This innovative registration method combines in vivo micro-ultrasound images with ex vivo pseudo-whole mount histopathology images, offering the potential to provide inexperienced urologists with ground-truth cancer outlines for training, thereby enhancing their diagnostic capabilities.
To access the GitHub repository for the project, please click on the link below.