Detail publikačního výsledku

2D Brain slice retrieval from Brain MR images using feature point maps

PARTHASARATHI, M.; ANSARI, M.; DUTTA, M.; BURGET, R.; ŘÍHA, K.

Originální název

2D Brain slice retrieval from Brain MR images using feature point maps

Anglický název

2D Brain slice retrieval from Brain MR images using feature point maps

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In this paper, we propose a medical image retrieval scheme which could be of immense help to the medical practitioners. The basic idea is to input a 2D Brain Magnetic Resonance (MR) query slice and output visually similar slices pertaining to the MR image database. Query slice pertaining to a new case can be related to slices belonging to previous case histories in the stored database. It would prove to be a useful diagnostic aid for the medical expert and could also serve as a teaching aid for students and researchers in medical field. Similar pathological cases can also aid in treatment apart from diagnosis. The challenge then is to device an algorithm which is fast, accurate and could be run on low power devices that are installed in clinics and hospitals. To this end, we propose a scheme consisting of a) MR image slice representation by only a few visually significant feature points and b) Similarity distance metric used for retrieval taking into account the spatial information of the local structures.

Anglický abstrakt

In this paper, we propose a medical image retrieval scheme which could be of immense help to the medical practitioners. The basic idea is to input a 2D Brain Magnetic Resonance (MR) query slice and output visually similar slices pertaining to the MR image database. Query slice pertaining to a new case can be related to slices belonging to previous case histories in the stored database. It would prove to be a useful diagnostic aid for the medical expert and could also serve as a teaching aid for students and researchers in medical field. Similar pathological cases can also aid in treatment apart from diagnosis. The challenge then is to device an algorithm which is fast, accurate and could be run on low power devices that are installed in clinics and hospitals. To this end, we propose a scheme consisting of a) MR image slice representation by only a few visually significant feature points and b) Similarity distance metric used for retrieval taking into account the spatial information of the local structures.

Klíčová slova

MR Slice; brain lesions; edge maps; significant feature points; Hausdorff distance

Klíčová slova v angličtině

MR Slice; brain lesions; edge maps; significant feature points; Hausdorff distance

Autoři

PARTHASARATHI, M.; ANSARI, M.; DUTTA, M.; BURGET, R.; ŘÍHA, K.

Rok RIV

2016

Vydáno

09.07.2015

ISBN

978-1-4799-8498-5

Kniha

38th International Conference on Telecommunications and Signal Processing (TSP)

Strany od

772

Strany do

775

Strany počet

4

BibTex

@inproceedings{BUT118002,
  author="M. {Parthasarathi} and Mohammed Ahmed {Ansari} and Malay Kishore {Dutta} and Radim {Burget} and Kamil {Říha}",
  title="2D Brain slice retrieval from Brain MR images using feature point maps",
  booktitle="38th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2015",
  pages="772--775",
  doi="10.1109/TSP.2015.7296370",
  isbn="978-1-4799-8498-5"
}