Evidence map›Paper›PMID 40421309›Full record

ArticleProceedings. IEEE International Symposium on Biomedical Imaging2025

MPR-DIFF: A SELF-SUPERVISED DIFFUSION MODEL FOR MULTI-PLANAR REFORMATION IN PROSTATE MICRO-ULTRASOUND IMAGING.

Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Kai Zhao, Eunsun Oh, Raymi Ramirez, Wayne Brisbane, Kyunghyun Sung

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kaifeng PangDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA 90095.
Qi MiaoDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA 90095.
Alex Ling Yu HungDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA 90095.
Kai ZhaoDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA 90095.
Eunsun OhDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA 90095.
Raymi RamirezDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA 90095.
Wayne BrisbaneDepartment of Urology, UCLA, Los Angeles, CA, USA 90095.
Kyunghyun SungDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA 90095.

Funding

Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer ClassificationR01CA248506 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUNG, KYUNG HYUN, WU, HOLDEN H · 2020 to 2024
$3.0M
Racially-associated MRI analysis and modeling for predicting aggressive prostate cancerR01CA272702 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Harrison Kim, Kyung Hyun Sung · 2023 to 2026
$2.4M
NCI NIH HHS R01 CA248506NCI NIH HHS R01 CA272702
6 · The paper itself

Abstract

Micro-ultrasound (MicroUS) is a novel imaging technology with the potential to provide a low-cost and high-resolution approach for prostate cancer diagnosis. However, MicroUS is acquired in a non-uniform, fan-shaped sweep, where voxel size varies with distance from the probe and across slice angles. This irregular voxel distribution complicates reformatting into other imaging planes, making it challenging to conduct joint evaluations with other modalities such as MRI and histopathology. Existing interpolation-based reformatting methods lead to poor image resolution and introduce severe artifacts. In this paper, we propose

Indexed as

Diffusion modelMicro-ultrasoundMulti-planar reformationProstateSuper-resolution

Identifiers

PMID40421309
PMCPMC12105648

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.