Skip to main content

Osteoarthritis muscle research to be presented at ISCIS 2009

Jeff Prescott, a student in the CIALAB, has had his work accepted as a regular paper to the 24th International Symposium on Computer and Information Sciences. The work, entitled "Template-Based Level Set Segmentation using Anatomical Information: Application to Quadriceps Muscles in MR Images from the Osteoarthritis Initiative", describes a method for the semi-automated segmentation of quadriceps muscles.

Abstract: We present a preliminary evaluation of an automated segmentation method of the quadriceps muscles from MR images of the thigh. The method is being developed to assist research into morphological properties of the quadriceps muscles as biomarkers of osteoarthritis (OA) incidence and progression. Our method uses an anatomically anchored, template-based initialization of the level set-based segmentation approach. A template image is selected using the Kullback-Leibler divergence measure based on the muscle and fat content of the thigh images. Contours of the quadriceps muscles of the chosen template are then semi-automatically registered to the image to be segmented using an affine transformation. These registered contours are used as initializations for the multi-phase level-set segmentation of the image, which is pre-processed to reduce arterial flow artifacts, the bias field, and intramuscular fat/connective tissue. Thirteen studies from eleven different subjects were analyzed. The performance was compared against manual segmentations using the Zijdenbos similarity index (ZSI). The ZSI means and standard deviations were: rectus femoris, 0.73 ± 0.13; vastus intermedius, 0.78 ± 0.09; vastus lateralis, 0.81 ± 0.14; vastus medialis, 0.85 ± 0.10.

Comments

Post a Comment

Popular posts from this blog

CIALAB encouraging talented young minds with summer internships

CIALAB is pleased to introduce the three interns namely Tong Gan, Rosana Rodriguez Milanes and Michael Priddy working through summer’09. Rosana Rodriguez Milanes - I am a third year undergraduate student in Electronic Engineering from Universidad del Norte, Colombia. My experience as a volunteer foreign student in the Clinical Image Analysis Laboratory has been an edifying, gratifying and enriching. Being able to participate, to learn and to collaborate in the Clinical Image Analysis Laboratory during the past two weeks has allowed me to improve my analytical and interpretative skills in processing histopathological and MRI images. I have been able to learn about segmentation, region growing, splitting and merging algorithms development. I have also had the privilege of knowing and interacting with excellent engineers who have helped me improve my skills as a foreign student. I am grateful for the opportunity that the Ohio State University has given me to collaborate and to learn with...
1 comment
Read more

Recent publications

The CIA lab has recently had 4 articles published in PLOS One and the Journal of Urology. Automated Staging Of T1 Bladder Cancer Using Digital Pathologic H&E Images: A Deep Learning approach (Journal of Urology). The paper discusses the need for accurately gauging tumor cell intrusion into Lamina Propria in an effort to substage bladder cancer. It explains how transfer learning in conjunction with Convolutional Neural Networks can be used to accurately identify different bladder layers and then compute the distance between tumor nuclei and Lamina Propria. The article is available here:  https://www.jurology.com/article/S0022-5347(18)41148-2/pdf Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning (PLOS One). This paper examines a proposed methodology to automatically differentiate between NET and non-tumor regions based on images of Ki67 stained biopsies. It also uses transfer learning to exploit a rich set of features ...
6 comments
Read more

CIALAB has moved to Wake Forest

The Clinical Image Analysis Lab (CIALAB) that was started by Dr. Metin Gurcan in 2005 at the Ohio State University has moved to Wake Forest School of Medicine. The new lab at Wake Forest will retain its name, but its web page will now be located at : http://tsi.wakehealth.edu/CIALab/   Dr. Gurcan was recruited as the inaugural Director of the Center for Biomedical Informatics at Wake Forest School of Medicine. The newly established Center will strengthen Wake Forest’s infrastructures for informatics research in genomics, imaging, healthcare delivery, and population health and support the informatics needs of other research centers. In so doing, the Center will promote Wake Forest Baptist Health's evolution as a learning health care system. A further goal of the Center is to train the next generation of investigators in the principles and practice of biomedical informatics.   The CIALab has been one of the leading research labs in the world and known for its innovative and ...
3 comments
Read more