Meeting Banner
Abstract #2231

A Cross-Modality Attention Network for Automated Habenula Segmentation and Quantization by MP2RAGE in Patients With Major Depression Disorder

BingYang Bian1, YiDa Wang2, Lei Zhang1, Guang Yang2, Lin Hou1, YueLuan Jiang3, Yang Song4, and Yao Meng5
1First Hospital of Jilin University, changchun, China, 2Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 3MR Scientific Marketing, Diagnostic Imaging, Siemens Healthineers Ltd., Beijing, China, 4MR Scientific Marketing, Diagnostic Imaging, Siemens Healthineers Ltd., Shanghai, China, 5MR Research Collaboration, Siemens Healthineers, Beijing, China

Synopsis

Keywords: Psychiatric Disorders, Psychiatric Disorders

Motivation: The habenula is an important diencephalon structure related to pathophysiology of major depressive disorder (MDD), and segmenting Hb is challenging due to its low contrast and tiny size.

Goal(s): To establish a 3D cross-modality attention network (CMAN) for Hb segmentation and quantify its volume and T1 value in MDD patients compared to healthy controls (HCs).

Approach: We leveraged T1WI and T1 mapping from 3.0T MP2RAGE to train a CMAN model, assessing its accuracy and clinical relevance.

Results: The CMAN model achieved high accuracy in segmenting Hb, revealing significant differences in T1 values between MDD patients and HCs.

Impact: The habenula serves as a pivotal center modulating intricate behaviors encompassing emotions, motivation, and decision-making. Automatic and precise segmentation of habenula provides basis for further automatic quantitative analysis of habenula for major depression disorder studies.

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