Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion Article Swipe

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Xin Wang , Zhenrong Shen , Zhiyun Song , Sheng Wang , Mengjun Liu , Lichi Zhang , Kai Xuan , Qian Wang ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2304.07756

Magnetic resonance (MR) images collected in 2D scanning protocols typically have large inter-slice spacing, resulting in high in-plane resolution but reduced through-plane resolution. Super-resolution techniques can reduce the inter-slice spacing of 2D scanned MR images, facilitating the downstream visual experience and computer-aided diagnosis. However, most existing super-resolution methods are trained at a fixed scaling ratio, which is inconvenient in clinical settings where MR scanning may have varying inter-slice spacings. To solve this issue, we propose Hierarchical Feature Conditional Diffusion (HiFi-Diff)} for arbitrary reduction of MR inter-slice spacing. Given two adjacent MR slices and the relative positional offset, HiFi-Diff can iteratively convert a Gaussian noise map into any desired in-between MR slice. Furthermore, to enable fine-grained conditioning, the Hierarchical Feature Extraction (HiFE) module is proposed to hierarchically extract conditional features and conduct element-wise modulation. Our experimental results on the publicly available HCP-1200 dataset demonstrate the high-fidelity super-resolution capability of HiFi-Diff and its efficacy in enhancing downstream segmentation performance.

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Computer Science

Gaussian Function

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Computer science Offset (computer science) Gaussian Artificial intelligence Feature (linguistics) Pattern recognition (psychology) Segmentation Reduction (mathematics) Resolution (logic) Wafer Noise reduction Algorithm Computer vision Mathematics Physics Geometry Linguistics Quantum mechanics Programming language Optoelectronics Philosophy

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2304.07756
PDF: https://arxiv.org/pdf/2304.07756
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DOI: https://doi.org/10.48550/arxiv.2304.07756

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Title: Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion

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Language: en

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Publication year: 2023

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Publication date: 2023-04-16

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Authors: Xin Wang, Zhenrong Shen, Zhiyun Song, Sheng Wang, Mengjun Liu, Lichi Zhang, Kai Xuan, Qian Wang

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Landing page: https://arxiv.org/abs/2304.07756

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Concepts: Computer science, Offset (computer science), Gaussian, Artificial intelligence, Feature (linguistics), Pattern recognition (psychology), Segmentation, Reduction (mathematics), Resolution (logic), Wafer, Noise reduction, Algorithm, Computer vision, Mathematics, Physics, Geometry, Linguistics, Quantum mechanics, Programming language, Optoelectronics, Philosophy

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abstract_inverted_index.Extraction	119
abstract_inverted_index.capability	146
abstract_inverted_index.diagnosis.	42
abstract_inverted_index.downstream	37, 154
abstract_inverted_index.experience	39
abstract_inverted_index.in-between	108
abstract_inverted_index.positional	95
abstract_inverted_index.resolution	18
abstract_inverted_index.techniques	24
abstract_inverted_index.Conditional	77
abstract_inverted_index.conditional	127
abstract_inverted_index.demonstrate	142
abstract_inverted_index.inter-slice	12, 28, 67, 85
abstract_inverted_index.iteratively	99
abstract_inverted_index.modulation.	132
abstract_inverted_index.resolution.	22
abstract_inverted_index.(HiFi-Diff)}	79
abstract_inverted_index.Furthermore,	111
abstract_inverted_index.Hierarchical	75, 117
abstract_inverted_index.element-wise	131
abstract_inverted_index.experimental	134
abstract_inverted_index.facilitating	35
abstract_inverted_index.fine-grained	114
abstract_inverted_index.inconvenient	57
abstract_inverted_index.performance.	156
abstract_inverted_index.segmentation	155
abstract_inverted_index.conditioning,	115
abstract_inverted_index.high-fidelity	144
abstract_inverted_index.through-plane	21
abstract_inverted_index.computer-aided	41
abstract_inverted_index.hierarchically	125
abstract_inverted_index.Super-resolution	23
abstract_inverted_index.super-resolution	46, 145
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	8
citation_normalized_percentile