Kanishka Sharma

Kanishka Sharma Medical Imaging Unit, Department of Biomedical Engineering Centro di Ricerche Cliniche per le Malattie Rare "ALDO e CELE DACCO'", Ranica Istituto di Ricerche Farmacologiche "Mario Negri", Italy Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik Technische Universität München Boltzmannstr. 3 85748 Garching b. München e-mail: kanishkasharma10@gmail.com skype:

Project

TranCYST:

Autosomal Dominant Polycystic Kidney Disease (ADPKD) is a rare inherited genetic disorder characterized by development of renal cysts leading to an end stage renal disease. Current imaging and therapeutic methods serve to be only supportive, slowing the progression of the disease without any effective treatment to eliminate cyst development. The TranCYST project aims to focus on approaches to study and validate disease mechanism models providing new insights for better understanding and improvement in the current techniques towards ADPKD.

AIM:

• Development of a novel kidney segmentation approach for volumetric quantification of the ADPKD kidneys followed by evaluation on existing imaging data from clinical trials on ADPKD patients.
• Identification of novel imaging biomarkers in ADPKD

Clinical Trials:

• Ongoing: clinicaltrials.gov/ct2/show/NCT02618460
  
• Ongoing: clinicaltrials.gov/ct2/show/NCT01377246
  
• Finished: clinicaltrials.gov/ct2/show/NCT01223755
  
• In Progress: clinicaltrials.gov/ct2/show/NCT02187432

External Links:

• www.trancyst.eu
  
• it.wikipedia.org/wiki/TranCYST

Publications

2013
	W. Wein, A. Ladikos, B. Fuerst, A. Shah, K. Sharma, N. Navab Global Registration of Ultrasound to MRI using the LC2 Metric for Enabling Neurosurgical Guidance Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Nagoya, Japan, September 2013 (bib)
	P. Matthies, K. Sharma, A. Okur, J. Gardiazabal, J. Vogel, T. Lasser, N. Navab First use of mini gamma cameras for intra-operative robotic SPECT reconstruction Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Nagoya, Japan, September 2013 (bib)