Literature DB >> 26807048

Scanning technology selection impacts acceptability and usefulness of image-rich content.

Kristine M Alpi, James C Brown, Jennifer A Neel, Carol B Grindem, Keith E Linder, James B Harper.   

Abstract

OBJECTIVE: Clinical and research usefulness of articles can depend on image quality. This study addressed whether scans of figures in black and white (B&W), grayscale, or color, or portable document format (PDF) to tagged image file format (TIFF) conversions as provided by interlibrary loan or document delivery were viewed as acceptable or useful by radiologists or pathologists.
METHODS: Residency coordinators selected eighteen figures from studies from radiology, clinical pathology, and anatomic pathology journals. With original PDF controls, each figure was prepared in three or four experimental conditions: PDF conversion to TIFF, and scans from print in B&W, grayscale, and color. Twelve independent observers indicated whether they could identify the features and whether the image quality was acceptable. They also ranked all the experimental conditions of each figure in terms of usefulness.
RESULTS: Of 982 assessments of 87 anatomic pathology, 83 clinical pathology, and 77 radiology images, 471 (48%) were unidentifiable. Unidentifiability of originals (4%) and conversions (10%) was low. For scans, unidentifiability ranged from 53% for color, to 74% for grayscale, to 97% for B&W. Of 987 responses about acceptability (n=405), 41% were said to be unacceptable, 97% of B&W, 66% of grayscale, 41% of color, and 1% of conversions. Hypothesized order (original, conversion, color, grayscale, B&W) matched 67% of rankings (n=215).
CONCLUSIONS: PDF to TIFF conversion provided acceptable content. Color images are rarely useful in grayscale (12%) or B&W (less than 1%). Acceptability of grayscale scans of noncolor originals was 52%. Digital originals are needed for most images. Print images in color or grayscale should be scanned using those modalities.

Entities:  

Keywords:  Image Compression; Image Enhancement; Interlibrary Loans; Pathology; Photographs; Radiology

Mesh:

Year:  2016        PMID: 26807048      PMCID: PMC4722637          DOI: 10.3163/1536-5050.104.1.003

Source DB:  PubMed          Journal:  J Med Libr Assoc        ISSN: 1536-5050


  7 in total

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Authors:  Heather L Brown
Journal:  J Med Libr Assoc       Date:  2012-04

2.  Conventional radiographs vs digitized radiographs: image quality assessment.

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3.  Digital imaging in pathology: the case for standardization.

Authors:  Yukako Yagi; John R Gilbertson
Journal:  J Telemed Telecare       Date:  2005       Impact factor: 6.184

4.  Subjective image quality of digitally filtered radiographs acquired by the Dürr Vistascan system compared with conventional radiographs.

Authors:  S Yalcinkaya; A Künzel; R Willers; M Thoms; J Becker
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5.  Characterizing the development of visual search expertise in pathology residents viewing whole slide images.

Authors:  Elizabeth A Krupinski; Anna R Graham; Ronald S Weinstein
Journal:  Hum Pathol       Date:  2012-07-24       Impact factor: 3.466

6.  Expertise under the microscope: processing histopathological slides.

Authors:  Thomas Jaarsma; Halszka Jarodzka; Marius Nap; Jeroen J G van Merrienboer; Henny P A Boshuizen
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7.  Is reject analysis necessary after converting to computed radiography?

Authors:  Rosemary Honea; Maria Elissa Blado; Yinlin Ma
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  7 in total

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