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Brad M. Keller

Brief Biography:
M.S. Biomedical ENgineering, 2009 (Cornell University)
B.S. Biomedical Enigineering, 2005 (University of Miami)


Brad Keller is a graduate student at Cornell university under the Department of Biomedical Engineering. Brad works in the Vision and Image Analysis Research Group headed by Dr Anthony Reeves. Prior coming to Cornell, he studied at the University of Miami, in biomedical engineering with a concentration electrical engineering.

Research Interests:
To develop medical image analysis software tools through the use of computer vision techniques and algorithms, primarily in the realm of computed tomography and chest x-ray. In addition, the analysis of derived metrics from computer vision system is also a topic of interest.

Current Research Topics:

Brad's current research area is on emphysema quantification from CT scans. Emphysema is typically measured by thresholding at a constant density level; all lung parenchyma below this density is considered emphysematous. However, this method has poor reducability over time and is very sensitive to noise and inspiration. Brad is working on developing other methods of determining the level of emphysema in a person based on personalizing various parameters.

Brad also works on software for automated catheter tip detection from chest radiographs. Reading chest radiographs still remains one of the most common tasks for radiologists assigned to intensive care units. Determining catheter, line, and tubing placement is one of the primary reasons for performing the scans. Due to the large volume of images and difficulty in distinguishing a catheter's end within an image, this is a very time consuming task. Automated detection algorithms could bring these ends to the radiologist's attention, allowing for more rapid reads of the films.

Publications and Presentations:

  1. B. M. Keller, A. P. Reeves, D. F. Yankelevitz, C. I. Henschke, and R. G. Barr. "Emphysema quantification from CT scans using novel application of diaphragm curvature estimation: Comparison with standard quantification methods and pulmonary function data," In M. L. Giger and N. Karssemeiger, eds., Medical Imaging 2009: Computer-Aided Diagnosis, vol. 7260, p. 726032, Feb. 2009.
  2. B. M. Keller, A. P. Reeves, T. V. Apanasovich, J. Wang, D. F. Yankelevitz, and C. I. Henschke. "Quantitative assessment of emphysema from whole lung CT scans: Comparison with visual grading," In M. L. Giger and N. Karssemeiger, eds., Medical Imaging 2009: Computer-Aided Diagnosis, vol. 7260, p. 726008, Feb. 2009.
  3. B. M. Keller, A. P. Reeves, C. I. Henschke, R. G. Barr, and D. F. Yankelevitz. "Variation of Quantitative Emphysema Measurements from CT Scans," In M. L. Giger and N. Karssemeiger, eds., SPIE International Symposium on Medical Imaging, vol. 6915, p. 69152I, Feb 2008.
  4. B. M. Keller, A. P. Reeves, T. V. Apanasovich, D. F. Yankelevitz, and C. I. Henschke. Variation measurements of standard emphysema quantification from low dose CT scans. RSNA Scientific Assembly and Annual Meeting, page 611, Nov 2007.
  5. Barr RG, Mesia-Vela S, Austin JH, Basner RC, Keller BM, Reeves AP, Shimbo D, Stevenson L. Impaired Flow-mediated Dilation is Associated with Low Pulmonary Function and Emphysema in Ex-smokers. Am J Respir Crit Care Med. 2007 Aug 29; [E-published ahead of print]
  6. B. Keller, A.P. Reeves, M. Cham, C. I. Henschke, and D. F. Yankelevitz. Semi-automated location identification of catheters in digital chest radiographs. Proceedings of SPIE International Symposium on Medical Imaging 2007, February 2007, Vol. 6514.
  7. B.Keller, A. Reeves, T. Apanasovich, D. Yankelevitz, C. Henschke. Variation of emphysema index with lung volume on CT images. European Society of Thoracic Imaging 15th Annual Meeting 2007.