Meeting Banner
Abstract #3240

Generation of 123I-IMP brain SPECT from 3D T1-weighted imaging using a machine-learning-based model

Sachi Okuchi1, Yasutaka Fushimi1, Koji Fujimoto1, Takuya Seguchi2, Akihiro Iohara2, Satoshi Nakajima1, Akihiko Sakata1, Takayuki Yamamoto1, Sayo Otani1, Azusa Sakurama1, Satoshi Ikeda1, Shuichi Ito1, Masaki Umehana1, Yongping Ma1, Shin Morooka1, Jumpei Fujimoto1, Satoshi Shinjo3, and Yuji Nakamoto1
1Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2DATAGRID Inc., Kyoto, Japan, 3Faculty of Medicine, Kyoto University, Kyoto, Japan

Synopsis

Keywords: Diagnosis/Prediction, Dementia, SPECT

Motivation: 123I-IMP SPECT is useful for diagnosing dementia and Parkinsonism but has drawbacks. We explored whether MPRAGE images could generate SPECT-like images, reducing the need for traditional SPECT.

Goal(s): This study aimed to develop an ML model that generates SPECT-like images from MPRAGE, using a dataset of dementia and Parkinsonism patients to improve model accuracy.

Approach: We used the Pix2PixHD method with various smoothing levels on MPRAGE images and compared models trained on dementia, Parkinsonism, and combined datasets. Quantitative and qualitative assessments were performed.

Results: The combined dataset achieved the highest accuracy, showing that training on diverse cases improves image generation and model generalizability.

Impact: This study shows that a machine learning model trained on a combined dementia and Parkinsonism dataset can generate accurate SPECT-like images from MPRAGE, potentially reducing the need for traditional SPECT imaging in neurological assessments.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords