Awais Mansoor PhD, Presenter: Nothing to Disclose

Ulas Bagci PhD, MSc, Abstract Co-Author: Nothing to Disclose

Ziyue Xu PhD, Abstract Co-Author: Nothing to Disclose

Brent Foster, Abstract Co-Author: Nothing to Disclose

Georgios Z. Papadakis MD, Abstract Co-Author: Nothing to Disclose

Daniel Joseph Mollura MD, Abstract Co-Author: Nothing to Disclose

1. To highlight the clinical importance of lung lobe volume determination as an imaging biomarker. 2. To review the state of the art segmentation methods for lung lobe determination. 3. To identify challenges in lobe segmentation with the focus on evaluation of different lung diseases. 4. To discuss the future trends in lung lobe segmentation and explain how current engineering advancements in CT can play a valuable role in making the lung lobe volume information as strong biomarker in routine clinics.  

1. Introduction a. Clinical importance of lung lobe segmentation b. Lung lobe information as a biomarker 2. The Challenges in Segmenting Lung Lobes a. Lacking anatomical information when pathology exists b. Image quality and resolution limitations c. Computational efficiency 3. State-of-the-Art Lung Lobe Segmentation Methods a. Expert manual delineation. b. Model-based methods. c. Feature-based methods. d. Neighborhood-assisted methods. e. Hybrid methods. 4. Concluding Remarks and Future Trends  

http://abstract.rsna.org/uploads/2014/14015844/14015844_8vyo.pdf

Mansoor, A, Bagci, U, Xu, Z, Foster, B, Papadakis, G, Mollura, D, Lung Lobe Volumetry as a Reliable Biomarker: Methods for Automatic Extraction of Lobes from CT Scans, and Fissure Integrity Scoring.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14015844.html