TY - JOUR
T1 - Multimodal molecular 3D imaging for the tumoral volumetric distribution assessment of folate-based biosensors
AU - Ramírez-Nava, Gerardo J.
AU - Santos-Cuevas, Clara L.
AU - Chairez, Isaac
AU - Aranda-Lara, Liliana
N1 - Publisher Copyright:
© 2017, International Federation for Medical and Biological Engineering.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - The aim of this study was to characterize the in vivo volumetric distribution of three folate-based biosensors by different imaging modalities (X-ray, fluorescence, Cerenkov luminescence, and radioisotopic imaging) through the development of a tridimensional image reconstruction algorithm. The preclinical and multimodal Xtreme imaging system, with a Multimodal Animal Rotation System (MARS), was used to acquire bidimensional images, which were processed to obtain the tridimensional reconstruction. Images of mice at different times (biosensor distribution) were simultaneously obtained from the four imaging modalities. The filtered back projection and inverse Radon transformation were used as main image-processing techniques. The algorithm developed in Matlab was able to calculate the volumetric profiles of 99mTc-Folate-Bombesin (radioisotopic image), 177Lu-Folate-Bombesin (Cerenkov image), and FolateRSense™ 680 (fluorescence image) in tumors and kidneys of mice, and no significant differences were detected in the volumetric quantifications among measurement techniques. The imaging tridimensional reconstruction algorithm can be easily extrapolated to different 2D acquisition-type images. This characteristic flexibility of the algorithm developed in this study is a remarkable advantage in comparison to similar reconstruction methods.
AB - The aim of this study was to characterize the in vivo volumetric distribution of three folate-based biosensors by different imaging modalities (X-ray, fluorescence, Cerenkov luminescence, and radioisotopic imaging) through the development of a tridimensional image reconstruction algorithm. The preclinical and multimodal Xtreme imaging system, with a Multimodal Animal Rotation System (MARS), was used to acquire bidimensional images, which were processed to obtain the tridimensional reconstruction. Images of mice at different times (biosensor distribution) were simultaneously obtained from the four imaging modalities. The filtered back projection and inverse Radon transformation were used as main image-processing techniques. The algorithm developed in Matlab was able to calculate the volumetric profiles of 99mTc-Folate-Bombesin (radioisotopic image), 177Lu-Folate-Bombesin (Cerenkov image), and FolateRSense™ 680 (fluorescence image) in tumors and kidneys of mice, and no significant differences were detected in the volumetric quantifications among measurement techniques. The imaging tridimensional reconstruction algorithm can be easily extrapolated to different 2D acquisition-type images. This characteristic flexibility of the algorithm developed in this study is a remarkable advantage in comparison to similar reconstruction methods.
KW - Folate-based biosensors
KW - In vivo imaging
KW - Inverse Radon transformation
KW - Tridimensional reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85035783205&partnerID=8YFLogxK
U2 - 10.1007/s11517-017-1755-2
DO - 10.1007/s11517-017-1755-2
M3 - Artículo
C2 - 29192382
SN - 0140-0118
VL - 56
SP - 1135
EP - 1148
JO - Medical and Biological Engineering and Computing
JF - Medical and Biological Engineering and Computing
IS - 7
ER -