Riccardo Lattanzi

Riccardo Lattanzi, PhD
Associate Professor of Radiology
Director of Training, Center for Advanced Imaging Innovation and Research; Graduate Advisor, Biomedical Imaging Graduate Program
Key Personnel
(212) 263 4860
(212) 263 7541
4th Floor, 660 First Avenue, New York, NY 10016
Educational Details: 

2008 - Ph.D. in Medical Engineering and Medical Physics, Harvard-M.I.T. Division of Health Sciences and Technology (HST)
2006 - M.S. in Electrical Engineering and Computer Science, M.I.T.
2000 - Laurea in Electronics Engineering, University of Bologna (Italy)

Research Interest: 

My research work has focused primarily on developing new techniques and technologies for high-field magnetic resonance imaging (MRI), and, more recently, on developing new methods for early diagnosis of cartilage degeneration in the hip joint. My research contributions include the development of the dyadic Green's function (DGF) methodology for fast electrodynamic simulation of RF coil performance, the introduction of the concept of ultimate intrinsic specific absorption rate (SAR), the theoretical smallest radiofrequency (RF) power deposition for a given magnetic resonance (MR) excitation, and the description of ideal current patterns corresponding to optimal performance, which can be used as a guide for optimizing the design of many-element RF coil arrays. I have also developed a method to assess the quality of receive coils against ultimate intrinsic signal-to-noise ratio (SNR), the theoretical largest SNR for a given imaging task. Since 2010, my work has expanded into a highly translational research area, which is the application of MR-based biochemical imaging techniques for the evaluation of the hip joint in patients with femoroacetabular impingement (FAI), a medical condition for which early detection can help delaying or preventing the onset of osteoarthritis. In the future I plan to combine my two main research interests and develop innovative RF coils to improve the diagnostic power of high-field MRI in musculoskeletal applications.

Selected Publications: 

Open Google Scholar Profile

17. Petchprapa CN, Dunham KS, Lattanzi R and Recht MP, Demystifying radial imaging in the hip; RadioGraphics, 2012, in press.

16. Brown R, Madelin G, Lattanzi R, Chang G, Ravinder RR, Sodickson DK and Wiggins GC, Design of a nested eight-channel sodium and four-channel proton coil for 7 Tesla knee imaging; Magnetic Resonance in Medicine, 2012, in press.

15. Deniz CM, Brown R, Lattanzi R, Alon L, Sodickson DK and Zhu Y, Maximum efficiency RF shimming: theory and initial application for hip imaging at 7 Tesla; Magnetic Resonance in Medicine, 2012, in press.

14. Lattanzi R, Petchprapa C, Glaser C, Dunham K, Mikheev AV, Krigel A, Mamisch TC, Kim YJ, Rusinek H and Recht M, A new method to analyze dGEMRIC measurements in femoroacetabular impingement: preliminary validation against arthroscopic findings; Osteoarthritis and Cartilage, vol 20(10), 2012, p. 1127-1133.

13. Lattanzi R and Sodickson DK, Ideal current patterns yielding optimal SNR and SAR in magnetic resonance imaging: computational methods and physical insights; Magnetic Resonance in Medicine, vol 68(1), 2012, p. 286-304.

12. Zhang B, Sodickson DK, Lattanzi R, Duan Q, Stoeckel B and Wiggins G, Whole body traveling wave magnetic resonance imaging at high field strength: homogeneity, efficiency and energy deposition as compared with traditional excitation mechanism; Magnetic Resonance in Medicine, vol 67(4), 2012, p. 1183-1193.

11. Chang G, Wiggins GC, Xia D, Lattanzi R, Madelin G, Finnerty M, Fujita H, Recht MP and Regatte R, Comparison of a 28 channel-receive array coil and quadrature volume coil for morphologic imaging and T2 mapping of knee cartilage at 7 Tesla; Journal of Magnetic Resonance Imaging, vol 35, 2012, p. 441-448.

10. Lattanzi R, Glaser C, Mikheev AV, Petchprapa C, Mossa DJ, Gyftopoulos S, Rusinek H, Recht M and Kim D, A B1-insensitive high-resolution 2D T1 mapping pulse sequence for dGEMRIC of the hip at 3 Tesla; Magnetic Resonance in Medicine, vol 66(2), 2011, p. 348-355.

9.   Lattanzi R, Grant AK, Polimeni JR, Ohliger MA, Wiggins GC, Wald LL and Sodickson DK, Performance evaluation of a 32-element head array with respect to the ultimate intrinsic SNR; NMR in Biomedicine, vol 23(2), 2010, p. 142-151.

8.   Lattanzi R, Sodickson DK, Grant AK and Zhu Y, Electrodynamic constraints on homogeneity and radiofrequency power deposition in multiple coil excitations; Magnetic Resonance in Medicine, vol. 61(2), 2009, p. 315-334.

7.   Robson P, Grant AK, Madhuranthakam AJ, Lattanzi R, Sodickson DK and McKenzie CA, Comprehensive quantification of signal-to-noise ratio and g-factor for image-based and k-space-based parallel imaging reconstructions; Magnetic Resonance in Medicine, vol. 60(4), 2008, p. 895-907.

6.   Testi D, Lattanzi R, Benvegnu M, Petrone M, Zannoni C, Viceconti M and Toni A, Efficacy of stereoscopic visualisation and six degrees of freedom interaction in preoperative planning of total hip replacement; Medical Informatics and the Internet in Medicine, vol. 31(3), 2006, p. 205-218.

5.   Lattanzi R, Baruffaldi F, Viceconti M and Zannoni C, Specialised CT scan protocols for 3D preoperative planning of total hip replacement; Medical Engineering & Physics, vol. 26(3), 2004, p. 237-245.

4.   Lattanzi R, Grazi E, Testi D, Viceconti M, Cappello A and Toni A, Accuracy and repeatability of cementless total hip replacement surgery in patients with deformed anatomies; Medical Informatics and the Internet in Medicine, vol. 28(1), 2003, p. 59-71.

3.   Viceconti M, Lattanzi R, Antonietti B, Paderni S, Olmi R, Sudanese A and Toni A, CT-based surgical planning software improves the accuracy of THR preoperative planning; Medical Engineering & Physics, vol. 25(5), 2003, p. 371-377.

2.   Lattanzi R, Viceconti M, Zannoni C, Quadrani P and Toni A, Hip-Op: an innovative software to plan total hip replacement surgery; Medical Informatics and the Internet in Medicine, vol. 27(2), 2002, p. 71-83.

1.   Viceconti M, Lattanzi R, Zannoni C and Cappello A, Effect of the display modality on the spatial accuracy of orthopaedic surgery preoperative planning applications; Medical Informatics and the Internet in Medicine, vol. 27(1), 2002, p. 21-32.


Latest Updates

05/13/2021 - 16:37
05/10/2021 - 10:05
04/12/2021 - 15:19

Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
• The Big George Foundation
• Bernard and Irene Schwartz

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