AmitShah

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Amit Shah

Amit Shah Amit Shah
Picosec Marie Curie Fellow

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik / I-16
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München
Germany

Room: MI 03.13.037 (CAMP, office)
Phone: +49 (89) 289-17077 (CAMP)
Fax: +49 (89) 289-17059 (CAMP)
Email:
Skype: amitshah.bme1
Linkedin: amitshah

Nuklearmedizinische Klinik und Poliklinik
Klinikum rechts der Isar
Technische Universität München
Ismaninger Straße 22
81675 München
Germany

Room: 01.03a-c (IFL, lab)
Phone: +49 (89) 4140-6457 (IFL)
Fax: +49 (89) 4140-6458 (IFL)


Volunteering

Chair, IEEE EMBS Student Chapter Munich eV

Projects

EndoTOFPET-US

EndoTOFPET-US

The project addresses and combines several objectives of the topics Health 2010.1.2-1, such as novel multimodality imaging tools, including a single-photon (quantum) counting PET detector head for the purpose of detecting and quantifying morphologic and functional markers and of developing new biomarkers of tumoural processes at the preclinical and clinical levels. Moreover the endoscopic approach, combined with an unprecedented PET timing resolution will allow more sensitive, more precise, lower radiation dose and less invasive imaging and intervention on small internal structures and lesions towards earlier detection and patient-tailored treatment of asymptomatic cancer types.
PicoSEC - Endoscopic PET and Ultrasound Imaging

PicoSEC - Endoscopic PET and Ultrasound Imaging

PICOSEC (Pico-second Silicon photomultiplier-Electronics- & Crystal research) is an European Marie Curie training project. It aims to bring together early career researchers and experienced colleagues from across Europe, to take part in a structured, integrated and multidisciplinary training program for young researchers in an R&D project geared to develop a new class of ultra-fast photon detectors in PET and HEP. This R&D will be the core activity of a TOF-PET development for clinical applications and would open new perspectives in medical imaging and hence in the quality of patient treatment. The Consortium is composed of public and private organizations and based on a common research program, aiming to increase the skills exchange between public and private sectors.
The overall project is divided in to different work packages that focus on specific aims while working towards common project goal. Our work package (WP) 5 has been assigned with the following tasks,
1. Provide tracking solutions for flexible endoscopy, trans-rectal ultrasound probe (TRUS), and endoscopic imaging devices, and evaluate their robustness and accuracy.
2. Based on tracking and imaging data, reconstruct volumes of interest from flexible endoscopic or TRUS detectors.
3. For orientation, guidance to specific regions of interest, and, where appropriate, through specific scanning protocols, provide navigation solutions.



Student Mentorship

  • finished: Hiwi WS2013 - 3D Ultrasound using PLUS framework by Cristina Precup
  • finished: Bachelor IDP WS2013 - Magic View: Intra-operative visualization of MR images with Kinect by Benjamin Schnoy, Simon Wimmer, Dominik Durner
  • finished: Clinical Project WS2014 - MR Bone: Segmentation and Registration of Bone MR images by Burcu Altinkaya
  • finished: Clinical Project SS2014 - Optical and Electromagnetic Hybrid Tracking by Nicola Leucht

Teaching Assistance

Education

  • Master of Technology (2010) in Biomedical Engineering, Indian Institute of Technology Bombay, INDIA
  • Bachelor of Engineering (2008) in Biomedical Engineering, University of Mumbai, INDIA

Experience

  • Design Engineer, Jul. 2010 - Aug 2012 - Texas Instruments Bangalore, INDIA
  • Research Intern, May. 2009 - Jul 2009 - GE Global Research Bangalore, INDIA
  • Service Trainee, Jun. 2007 - Dec 2007 - Meditronics Imaging (now Philips Healthcare) Mumbai, INDIA

Awards

List of Publications

2016
A. Shah, S. Conjeti, N. Navab, A. Katouzian
Deeply learnt hashing forests for content based image retrieval in prostate MR images
SPIE Medical Imaging, San Diego, California, USA, March 2016 (bib)
2015
F. Milletari, A. Ahmadi, C. Kroll, C. Hennersperger, F. Tombari, A. Shah, A. Plate, K. Bötzel, N. Navab
Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations
MICCAI 2015, the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (bib)
O. Zettinig, A. Shah, C. Hennersperger, M. Eiber, C. Kroll, H. Kübler, T. Maurer, F. Milletari, J. Rackerseder, C. Schulte zu Berge, E. Storz, B. Frisch, N. Navab
Multimodal Image-Guided Prostate Fusion Biopsy based on Automatic Deformable Registration
International Journal of Computer Assisted Radiology and Surgery / 6th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Barcelona, June 2015.
The original publication is available online at link.springer.com
(bib)
A. Shah, O. Zettinig, E. Storz, T. Maurer, M. Eiber, N. Navab, B. Frisch
Challenges in Multimodal Image-guided Targeted Prostate Biopsy
Hamlyn Symposium on Medical Robotics, London, UK, June 2015 (bib)
B. Frisch, E. Storz, O. Zettinig, A. Shah, H. Kübler, N. Navab, HP Wester, M. Schwaiger, M. Eiber, T. Maurer
PET/MRI/TRUS image fusion guided prostate biopsy: development of a research platform and initial clinical results
Society of Nucler Medicine and Medical Imaging Annual Meeting, Baltimore, USA, 2015 (bib)
E. Storz, A. Shah, O. Zettinig, M. Eiber, H.-J. Wester, H. Kübler, J. Gschwend, M. Schwaiger, B. Frisch, T. Maurer
PSMA-PET/MRI-guided fusion biopsy for the detection of prostate cancer
Annual Congress of European Association of Urology (EAU), Madrid, March 2015 (bib)
2014
A. Shah, O. Zettinig, T. Maurer, C. Precup, C. Schulte zu Berge, J. Weiss, B. Frisch, N. Navab
An Open Source Multimodal Image-guided Prostate Biopsy Framework
3rd Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging (CLIP), 17th MICCAI, MIT, Boston, USA, September 2014.
The original publication is available online at link.springer.com
(bib)
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)



UsersForm
Title: Master
Circumference of your head (in cm):  
Firstname: Amit
Middlename:  
Lastname: Shah
Picture: amit.jpg
Birthday:  
Nationality: India
Languages: English
Groups: Registration/Visualization, Segmentation, Reconstruction, Medical Imaging, Computer-Aided Surgery, IFL
Expertise:  
Position: Scientific Staff
Status: Alumni
Emailbefore: amit.shah
Emailafter: tum.de
Room: MI 03.13.037
Telephone: +49 89 289-17077
Alumniactivity:  
Defensedate:  
Thesistitle:  
Alumnihomepage:  
Personalvideo01:  
Personalvideotext01:  
Personalvideopreview01:  
Personalvideo02:  
Personalvideotext02:  
Personalvideopreview02:  


Edit | Attach | Refresh | Diffs | More | Revision r1.25 - 27 May 2016 - 11:38 - TobiasLasser

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif