A novel image toggle tool for comparison of serial mammograms: automatic density normalization and alignment-development of the tool and initial experience.
Purpose: The purpose is to develop a new image toggle tool with automatic density normalization (ADN) and automatic alignment (AA) for comparing serial digital mammograms (DMGs).Materials and Methods: We developed an ADN and AA process to compare the images of serial DMGs. In image density normaliza...
| Published in: | Japanese Journal of Radiology Vol. 32; no. 12; pp. 725 - 732 |
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| Main Authors: | , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Dec2014
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109772068&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109772068 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18671071 AUCM jtl: Japanese Journal of Radiology issn: 18671071 maglogo: N pubinfo: dt: Dec2014 vid: 32 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109772068 NLM25238735 2012844891 10.1007/s11604-014-0362-5 NLM25238735 109772068 ppf: 725 ppct: 7 formats: fmt: @attributes: type: P tig: atl: A novel image toggle tool for comparison of serial mammograms: automatic density normalization and alignment-development of the tool and initial experience. aug: au: Honda, Satoshi Tsunoda, Hiroko Fukuda, Wataru Saida, Yukihisa sug: subj: Breast Neoplasms Radiography Mammography Methods Radiographic Image Enhancement Methods Radiographic Image Interpretation, Computer-Assisted Methods Algorithms Female Human Retrospective Design Female ab: Purpose: The purpose is to develop a new image toggle tool with automatic density normalization (ADN) and automatic alignment (AA) for comparing serial digital mammograms (DMGs).Materials and Methods: We developed an ADN and AA process to compare the images of serial DMGs. In image density normalization, a linear interpolation was applied by taking two points of high- and low-brightness areas. The alignment was calculated by determining the point of the greatest correlation while shifting the alignment between the current and prior images. These processes were performed on a PC with a 3.20-GHz Xeon processor and 8 GB of main memory. We selected 12 suspected breast cancer patients who had undergone screening DMGs in the past. Automatic processing was retrospectively performed on these images. Two radiologists subjectively evaluated them.Results: The process of the developed algorithm took approximately 1 s per image. In our preliminary experience, two images could not be aligned approximately. When they were aligned, image toggling allowed detection of differences between examinations easily.Conclusions: We developed a new tool to facilitate comparative reading of DMGs on a mammography viewing system. Using this tool for toggling comparisons might improve the interpretation efficiency of serial DMGs. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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