Acquisition count dependence of the specific binding ratio in 123I-FP-CIT SPECT

Kita, Akinobu; Okazawa, Hidehiko; Sugimoto, Katsuya; Kaido, Ryoto; Kosaka, Nobuyuki; Shibutani, Takayuki; Onoguchi, Masahisa; Kidoya, Eiji; Kimura, Hirohiko

doi:10.1007/s12149-021-01668-7

Cited by 1 publication

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“…To get sufficient acquisition counts, these guidelines indicate an appropriate acquisition time of 30 to 45 min. Short-time scans reduce the acquisition counts, deteriorate the quality of the visual evaluation, and underestimate SBR [ 10 ]. In addition, a multicenter study conducted in Japan revealed that all 14 participating facilities used an acquisition time of approximately 30 min [ 11 ], suggesting that many hospitals in Japan comply with the guidelines.…”

Section: Introductionmentioning

confidence: 99%

Specific Binding Ratio Estimation of [123I]-FP-CIT SPECT Using Frontal Projection Image and Machine Learning

et al. 2023

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This study aimed to develop a new convolutional neural network (CNN) method for estimating the specific binding ratio (SBR) from only frontal projection images in single-photon emission-computed tomography using [123I]ioflupane. We created five datasets to train two CNNs, LeNet and AlexNet: (1) 128FOV used a 0° projection image without preprocessing, (2) 40FOV used 0° projection images cropped to 40 × 40 pixels centered on the striatum, (3) 40FOV training data doubled by data augmentation (40FOV_DA, left-right reversal only), (4) 40FOVhalf, and (5) 40FOV_DAhalf, split into left and right (20 × 40) images of 40FOV and 40FOV_DA to separately evaluate the left and right SBR. The accuracy of the SBR estimation was assessed using the mean absolute error, root mean squared error, correlation coefficient, and slope. The 128FOV dataset had significantly larger absolute errors compared to all other datasets (p < 0. 05). The best correlation coefficient between the SBRs using SPECT images and those estimated from frontal projection images alone was 0.87. Clinical use of the new CNN method in this study was feasible for estimating the SBR with a small error rate using only the frontal projection images collected in a short time.

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Section: Introductionmentioning

confidence: 99%