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TH‐C‐204C‐02: Advanced MR Spectroscopy Methods for Studying Metabolism and Radiation Treatment Response in Brain Tumors
Author(s) -
Andronesi O,
Seco J,
Shih H,
Sorensen G
Publication year - 2010
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3469504
Subject(s) - magnetic resonance spectroscopic imaging , nuclear magnetic resonance , in vivo magnetic resonance spectroscopy , imaging phantom , computer science , radiation therapy , magnetic resonance imaging , nuclear medicine , medical physics , physics , optics , radiology , medicine
Magnetic resonance spectroscopy imaging (MRSI) provides completely non‐invasively detailed metabolic information which correlates with physiological or pathological conditions. Hence it is becoming a valuable tool in image guided radio(proton)therapy where it can probe dose conformity (radiation delivered over the tumor volume and surrounding tissues) and could provide in‐vivo new insights about the biology of tumor response to radiation. Traditionally in‐vivo MRSI faces several challenges that may limit its potential such as: 1) inaccuracy in signal localization (chemical shift displacement error and voxel bleeding); 2) low spatial resolution; and 3) long acquisition times for 3D volumetric scans. However recent advances in hardware and pulse sequence design can mitigate many of these problems. Use of adiabatic pulses can provide precise and uniform signal excitation and together with fast acquisition schemes of the k‐space such as spiral trajectories allows fast acquisition of high resolution 3D MRSI scans. In addition real‐time motion correction and shimming strategies can improve the reliability of MRSI scans. Moreover MRSI scans that have multiple frequency dimensions (such as 2D chemical shift correlation spectra) can now be performed in‐vivo to unambiguously identify overlapped metabolite signals. This lecture will begin with an overview of the basic principles of in‐vivo MRS which will be followed by details of advanced MRSI methods such as adiabatic excitation fast spiral acquisition of 3D MRSI data and 2D chemical shift correlation spectra. Examples of in‐vivo MRSI data obtained on brain tumor patients treated with conventional radiotherapy and proton beam therapy will be shown in the end. Learning Objectives: 1. Basic principles of MRSI. 2. Understand the critical artifacts that might confound MRS and the importance of improved methods for reliable MRSI. 3. Clinical applications of MRSI to monitor radiation therapy for brain tumors.