Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans.

By Qiang Li, S. Sone, Kunio Doi. Medical Physics (Lancaster), 2003

430 citations recorded by the source corpus.

Subfields: Otorhinolaryngology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/2c4570a6e2ff603b0c8c78c7c4de5617639e2b01

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Otorhinolaryngology

1. Rien van de Weygaert
2. Bernard J. T. Jones
3. Marius Cautun
4. Kunio Doi

In Pulmonary and Respiratory Medicine

1. B. van Ginneken
2. Hiroshi Fujita
3. Jamshid Dehmeshki
4. Xujiong Ye
5. Kunio Doi
6. Nico Karssemeijer
7. Rien van de Weygaert
8. Bernard J. T. Jones

In Radiology, Nuclear Medicine and Imaging

1. B. van Ginneken
2. P. Heng
3. Qi-Yan Dou
4. Hao Chen
5. Geert J. S. Litjens
6. Hiroshi Fujita
7. Jamshid Dehmeshki
8. Xujiong Ye

Citations in the corpus

• Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge (2016, methodology): “Three di ff erent set of filters (Li et al. (2003, 2004)) are applied to detect di ff erent types of nodules: isolated, juxtavascular, and juxtapleural nodules.”
• Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images (2009, background): “For each voxel, the dot value is defined as [21]”
• Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis (2012, methodology): “The likelihood of a voxel at scale σ to belong to a blob is defined by Qiang et al (2003): (1) Note that the three eigenvalues are sorted as The approach is applied using a recursive implementation of the Gaussian filter at multiple scales, namely three scales are used: 8, 10 and 12 mm in diameter.”
• Tracing the cosmic web (2017, background): “A prominent application of Scale Space anal- ysis involves the detection of the web of blood vessels in a medical image (Sato et al. 1998; Li et al. 2003).”
• Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study (2010, methodology): “Candidate nodule selection: CADI: internal nodules were modeled as spherical objects with a Gaussian profile, following the approach proposed in (Li et al., 2003); the 3D matrix of data was filtered with a multi-scale filter function built to discriminate between spherical objects and objects with p”
• Computer-aided diagnosis in medical imaging: Historical review, current status and future potential (2007, methodology): “The sotropic 3D MRA images were processed by use of a selective, ulti-scale enhancement filter [134], as illustrated in Fig.”
• Current status and future potential of computer-aided diagnosis in medical imaging. (2005, methodology): “5 mm) were processed by use of a selective, multiscale enhancement filter [128], as illustrated in Figure 15.”
• Computer-Aided Detection of Prostate Cancer in MRI (2014, background): “[21] because this filter incorporates both a shape term and a blobness strength term.”
• NEXUS: Tracing the cosmic web connection (2012, methodology): “The method is derived from the field of medical imaging (Frangi et al. 1998; Sato et al. 1998; Li et al. 2003) where it is used to identify nodules, vessels and walls in two- and three-dimensional images.”