Gowthaman Gunabushanam MD

Assistant Professor of Diagnostic Radiology; Interventional Radiologist, West Haven VA Medical Center

Research Interests

Vascular ultrasound; Radiofrequency ablation and chemoembolization of liver tumors; Venous access in oncology patients

Current Projects

Millet J, Gunabushanam G, Stilp E, Crawford FW, McNamara RL, Scoutt LM. Computer-assisted detection of proximal arterial stenosis on Doppler ultrasound.


Research Summary

Presently, I am investigating the use of advanced image processing techniques for medical images, especially Digital Subtraction Angiograms (DSA) and CT scans. While there are well described methods for enhancing and improving the appearance of photographs and other digital images, these techniques are often not readily applicable to medical images. Specifically, it is unclear if an improved image appearance actually results in an improved diagnostic or therapeutic outcome. Most publications to date focus on subjective, surrogate measures (blinded reviewers opinion on appearance of images and lack of artifacts) rather than improvement of measures such as sensitivity, specificity and diagnostic accuracy.

Extensive Research Description

Presently, I am investigating the use of advanced image processing techniques for medical images, especially Digital Subtraction Angiograms (DSA) and CT scans. While there are well described methods for enhancing and improving the appearance of photographs and other digital images, these techniques are often not readily applicable to medical images. More importantly, it is unclear if an improved image appearance actually results in an improved diagnostic or therapeutic outcomes. Most publications to date focus on subjective, surrogate measures (blinded reviewers opinion on appearance of images and reduction of artifacts) rather than improvement of measures such as sensitivity, specificity, diagnostic certainty and accuracy.

A second focus of my work is Computer Aided Diagnosis (CADx). CADx is widely believed to improve radiologists' interpretative ability and reduce inter-radiologist variability. In a recently completed study, our group used a novel computer-generated quantitative measure (effective acceleration time) and showed that use of this measure markedly improved diagnostic accuracy and eliminated interobserver variability for detecting tardus parvus waveforms, which signify a proximal arterial stenosis on Doppler ultrasound.


Selected Publications

  • Ojili V, Tirumani SH, Gunabushanam G, Nagar A, Surabhi VR, Chintapalli KN, Ryan J. Abdominal Hemangiomas: A Pictorial Review of Unusual, Atypical, and Rare Types. Can Assoc Radiol J. 2012 Mar 6. [Epub ahead of print]
  • Gunabushanam G, Shankar S, Czerniach DR, Kelly JJ, Perugini RA. Small-bowel obstruction after Laparoscopic Roux-en-Y gastric bypass surgery. J Comput Assist Tomogr 2009; 33: 369-375.
  • Gunabushanam G, Sharma S, Thulkar S, Srivastava DN, Rath GK, Julka PK, Bhatnagar S. Radiofrequency ablation of liver metastases from breast cancer: results in 14 patients. J Vasc Interv Radiol 2007; 18:67-72.

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