2013
DOI: 10.1364/ol.38.001364
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Čerenkov excited fluorescence tomography using external beam radiation

Abstract: Radiation treatment of cancer induces an optical Čerenkov emission throughout the treated volume, which could be used to excite molecular reporters in vivo, allowing molecular sensing of tissue response during fractionated therapy. In this letter, the idea that spatial mapping of this signal can be achieved with tomographic recovery of the fluorophore distribution is tested for the first time, using 6 MeV photons from a linear accelerator in a heterogeneous tissue phantom. Čerenkov light excited fluorophore th… Show more

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Cited by 35 publications
(36 citation statements)
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“…Č erenkov radiation has been the subject of considerable research in recent years for potential applications in life sciences and engineering. A number of articles have appeared introducing its potential applications in molecular imaging, [12][13][14][15][16][17][18][19] monitoring of tissue optical properties, 20 ionizing radiation beam monitoring, quality assurance and dosimetry, [21][22][23][24][25][26][27][28][29][30][31][32][33] and particle detection. [34][35][36][37][38] When optical fibers pass through ionizing radiation fields of high energy, as in fiber-optic dosimetry, Č erenkov radiation generated inside the fibers' core is guided through the fiber if the emitted ray hits the core-cladding boundary with an angle greater than the critical angle satisfying the total internal reflection condition required for guided rays.…”
Section: Introductionmentioning
confidence: 99%
“…Č erenkov radiation has been the subject of considerable research in recent years for potential applications in life sciences and engineering. A number of articles have appeared introducing its potential applications in molecular imaging, [12][13][14][15][16][17][18][19] monitoring of tissue optical properties, 20 ionizing radiation beam monitoring, quality assurance and dosimetry, [21][22][23][24][25][26][27][28][29][30][31][32][33] and particle detection. [34][35][36][37][38] When optical fibers pass through ionizing radiation fields of high energy, as in fiber-optic dosimetry, Č erenkov radiation generated inside the fibers' core is guided through the fiber if the emitted ray hits the core-cladding boundary with an angle greater than the critical angle satisfying the total internal reflection condition required for guided rays.…”
Section: Introductionmentioning
confidence: 99%
“…Čerenkov radiation has been the subject of considerable research in recent years for potential applications in life sciences and engineering.A number of articles has appeared introducing its potential application in molecular imaging [10][11][12][13][14][15][16][17][18], monitoring of tissue optical properties [19], ionizing radiation beam monitoring, quality assurance, and dosimetry [20][21][22][23][24][25][26][27][28][29][30][31], and particle detection [32][33][34][35][36].When optical fibers pass through ionizing radiation fields of high energy, as in fiber optic dosimetry, Čerenkov radiation generated inside the fibers' core is guided through the fiber if the emitted ray hits the core-cladding boundary with an angle greater than the critical angle satisfying total internal reflection condition required for guided rays. Transmission of Čerenkov radiation is, therefore, dependent on the angle between the particle's track and the fiber's axis.Therefore, the recorded raw signal is not directly related to the absorbed dose by the scintillator.…”
Section: Introductionmentioning
confidence: 99%
“…When we deal with organs with the same density but different radiotracer uptakes, their anatomical imaging may be invalid; however, Cerenkov imaging can be used to distinguish them. Cerenkov imaging can be divided into two types: Cerenkov luminescence imaging (CLI) [6][7][8][9][10][11][12][13][14][15][16] and Cerenkov luminescence tomography (CLT) [17][18][19][20][21][22][23][24][25][26]. CLI is a type of 2D planar imaging, whereas CLT was developed to reconstruct the 3D distribution of radiotracers inside a living animal.…”
Section: Introductionmentioning
confidence: 99%
“…A solution to the inverse problem can generally be divided into two types. One is a statistical method, e.g., a Monte Carlo [26,27] or Bayesian [28,29] method. The other is optimization using a least-squares criterion [18,19,30,31], a regularization method [18][19][20][21][22][23], a level set method [32,33], etc.…”
Section: Introductionmentioning
confidence: 99%
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