Koch Laboratory

Koch Laboratory

Research Area:  MRI Near Metal Implants

While working in the Applied Science Laboratory at GE Healthcare, Kevin Koch, PhD, as one of the inventors of 3D Multi-Spectral Imaging (3D-MSI). The trade names for this technology are MAVRIC SL (GE Healthcare) and SEMAC (Siemens Healthcare). The Koch Laboratory at MCW is continuing development of technical advances in 3D-MSI. In addition, the team is working with clinical partners at a variety of institutions to further the clinical utility of existing clinical 3D-MSI implementations. 

Publications:

  MR Imaging Near Metallic Implants Using MAVRIC SL: Initial Clinical Experience at 3T
Luis B Gutierrez, Bao H Do, Garry E Gold, Brian A Hargreaves, Kevin M Koch, Pauline W Worters, Kathryn J Stevens
Academic radiology
  2014
  Flexible longitudinal magnetization contrast in spectrally overlapped 3D‐MSI metal artifact reduction sequences: Technical considerations and clinical impact
KM Koch, MF Koff, PH Shah, A Kanwischer, D Gui, HG Potter
Magnetic Resonance in Medicine
  2014
  In vitro assessment of knee MRI in the presence of metal implants comparing MAVRIC‐SL and conventional fast spin echo sequences at 1.5 and 3 T field strength
Hans Liebl, Ursula Heilmeier, Sonia Lee, Lorenzo Nardo, Janina Patsch, Christopher Schuppert, Misung Han, Ina‐Christine Rondak, Suchandrima Banerjee, Kevin Koch, Thomas M Link, Roland Krug
Journal of Magnetic Resonance Imaging
  2014
  Imaging near metal: the impact of extreme static local field gradients on frequency encoding processes
KM Koch, KF King, M Carl, BA Hargreaves
Magnetic Resonance in Medicine 71 (6), 2024-2034
  2014
  Accelerating sequences in the presence of metal by exploiting the spatial distribution of off‐resonance
MR Smith, NS Artz, KM Koch, A Samsonov, SB Reeder
Magnetic Resonance in Medicine
  2014
  Quantifying image distortion of orthopedic materials in magnetic resonance imaging
MF Koff, P Shah, KM Koch, HG Potter
Journal of Magnetic Resonance Imaging 38 (3), 610-618
  2013
  Magnetic resonance imaging findings in symptomatic versus asymptomatic subjects following metal-on-metal hip resurfacing arthroplasty
Danyal H Nawabi, Catherine L Hayter, Edwin P Su, Matthew F Koff, Giorgio Perino, Stephanie L Gold, Kevin M Koch, Hollis G Potter
The Journal of Bone & Joint Surgery 95 (10), 895-902
  2013
  Compressed‐Sensing multispectral imaging of the postoperative spine
PW Worters, K Sung, KJ Stevens, KM Koch, BA Hargreaves
Journal of Magnetic Resonance Imaging 37 (1), 243-248
  2013
  MR imaging near metal with undersampled 3D radial UTE‐MAVRIC sequences
M Carl, K Koch, J Du
Magnetic Resonance in Medicine 69 (1), 27-36
  2013
  Metal-induced artifacts in MRI
BA Hargreaves, PW Worters, KB Pauly, JM Pauly, KM Koch, GE Gold
American Journal of Roentgenology 197 (3), 547-555
  2011
  MRI after arthroplasty: comparison of MAVRIC and conventional fast spin-echo techniques
CL Hayter, MF Koff, P Shah, KM Koch, TT Miller, HG Potter
American Journal of Roentgenology 197 (3), W405-W411
  2011
  Investigations on imaging near metal with combined 3D UTE-MAVRIC
M Carl, J Du, K Koch
Proc Intl Soc Mag Reson Med 19, 2668
  2011
  New MR imaging methods for metallic implants in the knee: artifact correction and clinical impact
Christina A Chen, Weitian Chen, Stuart B Goodman, Brian A Hargreaves, Kevin M Koch, Wenmaio Lu, Anja C Brau, Christine E Draper, Scott L Delp, Garry E Gold
Journal of Magnetic Resonance Imaging 33 (5), 1121-1127
  2011
  Imaging near metal with a MAVRIC‐SEMAC hybrid
KM Koch, AC Brau, W Chen, GE Gold, BA Hargreaves, M Koff, ...
Magnetic Resonance in Medicine 65 (1), 71-82
  2011
  Magnetic resonance imaging near metal implants
KM Koch, BA Hargreaves, KB Pauly, W Chen, GE Gold, KF King
Journal of Magnetic Resonance Imaging 32 (4), 773-787
  2010
  A multispectral three‐dimensional acquisition technique for imaging near metal implants
KM Koch, JE Lorbiecki, RS Hinks, KF King
Magnetic Resonance in Medicine 61 (2), 381-390
  2009

 

Research Area:  Quantitative Susceptibility Mapping

Quantitative susceptibility mapping (QSM) is a powerful tool to identify a specific physical characteristic parameter at each pixel in an MRI image. QSM relies on MRI signal phase measurements, which are proportional to the local magnetic field, which is correlated to the local tissue susceptibility. The computation of the susceptibility from measured MRI signal requires a numerically challenging mathematical inversion over three-dimensional space.  We are currently investigating methods of improving this inversion, rendering the resulting maps potentially viable for quantitative assessment of neurological conditions related to traumatic brain injury and cancer. 

 


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